data-raw/lm/processLHinputs.R
In jefferislab/lhns: Skeleton data for neurons associated with the lateral horn of Drosophila melanogaster
# Process FlyCircuit data
library(nat)
library(flycircuit)
# Get data
load("data-raw/lh.inputs.rda")
md.mcfo = nat::as.neuronlist(nat::read.neuronlistfh(nat.utils::find_extdata('lh.mcfo.rds',package='lhns')))
if(!is.null(md.mcfo[,"frechter.cell.type"])){
md.mcfo[,"cell.type"] = md.mcfo[,"frechter.cell.type"]
}
lhin.mcfo = md.mcfo[names(md.mcfo)%in%c("MB583B#1","MB583B#2","MB583B#3","L2444#1","L85#1", "L85#2", "L85#3", "L85#4", "L85#5",
"L452#3", "L1668#4", "L452#1", "L1518#1", "L1518#4", "L1949#1",
"L1949#3", "L1668#3", "L1668#2", "L1518#3", "L1518#5", "L1518#2",
"L1668#1", "L452#2","L1949#2","L984#7", "L770#1", "L770#2", "L984#9", "L984#8", "L112#4",
"L984#1", "L984#2", "L984#3", "L112#1", "L984#5", "L112#2", "L112#3",
"L984#4", "L772#2", "L772#1", "L984#6","L1337#4", "L1337#7", "L1337#3", "L1337#5", "L1337#2", "L1337#8",
"L1337#1", "L1337#6","L1524#2", "L1524#3", "L1524#1", "L1524#4",
"L984#7", "L770#1", "L770#2", "L984#9", "L984#8", "L112#4",
"L984#1", "L984#2", "L984#3", "L112#1", "L984#5", "L112#2", "L112#3",
"L984#4", "L772#2", "L772#1", "L984#6")]
lh.inputs = c(lh.inputs,lhin.mcfo)
df = lh.inputs[,]
df = df[,c("gene","sex","LH_side","glomerulus")]
df$anatomy.group = NA
df$modality = NA
df$class = "non-glomerular"
df$glomerulus = NA
df$tract = NA
df$type = "IN"
df$neurotransmitter = NA
df$reference = NA
df$dendritic.location = NA
df$cell.body.position = NA
df$good.trace = TRUE
marta <- function(n){
e = n[n%in%flycircuit::fc_neuron(names(flycircuit::fc_glom()))]
f = flycircuit::fc_glom()[flycircuit::fc_neuron(names(flycircuit::fc_glom()))%in%e]
names(f) = flycircuit::fc_neuron(names(f))
g = names(f)
names(g) = f
g
}
###### Assign Glomeruli ######
i = marta(names(lh.inputs))
df[i,]$glomerulus = names(i)
# VAsomething appears to be VA4, VA4 appears to be something else, VA3 perhaps
g = i[grepl("VAsomething",names(i))]
df[g,]$glomerulus = "VA4"
g = i[grepl("VA4",names(i))]
df[g,]$glomerulus = "VM4"
###### Assign mALT uPNs ######
ad.upns = c("fru-M-500154", "VGlut-F-400532", "fru-M-400041", "VGlut-F-700359",
"VGlut-F-400402", "VGlut-F-200348", "VGlut-F-800046", "VGlut-F-500659",
"VGlut-F-800075", "VGlut-F-700240", "VGlut-F-900052", "VGlut-F-200560",
"VGlut-F-400668", "VGlut-F-500537", "VGlut-F-400023", "VGlut-F-700103",
"VGlut-F-800097", "VGlut-F-500868", "VGlut-F-600746", "Gad1-F-500167",
"VGlut-F-300450", "VGlut-F-500635", "VGlut-F-500016", "VGlut-F-500202",
"VGlut-F-500727", "VGlut-F-000606", "fru-F-000079", "VGlut-F-600005",
"VGlut-F-600375", "VGlut-F-700285", "fru-M-500171", "VGlut-F-600479",
"VGlut-F-700109", "VGlut-F-500870", "VGlut-F-700331", "VGlut-F-600104",
"VGlut-F-600314", "VGlut-F-600671", "VGlut-F-700210", "VGlut-F-700598",
"VGlut-F-500447", "VGlut-F-600371", "VGlut-F-700215", "VGlut-F-800044",
"VGlut-F-500864", "VGlut-F-700101", "VGlut-F-400432", "VGlut-F-700104",
"VGlut-F-700209", "VGlut-F-400176", "VGlut-F-800104", "VGlut-F-100369",
"VGlut-F-800211", "VGlut-F-500160", "VGlut-F-400444", "VGlut-F-800123",
"VGlut-F-500257", "VGlut-F-700254", "VGlut-F-800031", "VGlut-F-600093",
"VGlut-F-900102", "VGlut-F-400663", "VGlut-F-500298", "VGlut-F-400533",
"VGlut-F-700075", "VGlut-F-800053", "VGlut-F-500022", "VGlut-F-500057",
"VGlut-F-500058", "VGlut-F-600494", "VGlut-F-700245", "VGlut-F-800143",
"VGlut-F-400260", "VGlut-F-500580", "VGlut-F-500548", "VGlut-F-700440",
"VGlut-F-500333", "VGlut-F-400218", "VGlut-F-400719", "VGlut-F-800089",
"VGlut-F-700107", "VGlut-F-800047", "VGlut-F-700147", "VGlut-F-500076",
"VGlut-F-700323", "VGlut-F-600482", "VGlut-F-500237", "VGlut-F-500303",
"VGlut-F-000391", "VGlut-F-500751", "VGlut-F-700124", "Cha-F-100073",
"VGlut-F-800275", "VGlut-F-600353", "VGlut-F-900068", "VGlut-F-500118",
"VGlut-F-700182", "VGlut-F-700504", "VGlut-F-500594", "VGlut-F-600327",
"fru-F-700187", "Gad1-F-400075", "VGlut-F-600797", "VGlut-F-500828",
"VGlut-F-700185", "VGlut-F-600471", "VGlut-F-500189", "VGlut-F-700287",
"VGlut-F-400059", "VGlut-F-600405", "VGlut-F-500026", "VGlut-F-600011",
"VGlut-F-400138", "VGlut-F-800102", "VGlut-F-400462", "VGlut-F-500839",
"VGlut-F-700570", "VGlut-F-600145", "VGlut-F-700434", "VGlut-F-700439",
"VGlut-F-700437", "fru-F-300093", "VGlut-F-700412", "VGlut-F-500248",
"VGlut-F-900081", "fru-F-500103", "Gad1-F-400129", "VGlut-F-700301",
"VGlut-F-300641", "VGlut-F-500178", "VGlut-F-700179", "VGlut-F-800048",
"VGlut-F-500563", "VGlut-F-600146", "VGlut-F-800124", "VGlut-F-500143",
"VGlut-F-500582", "VGlut-F-500334", "VGlut-F-600725", "VGlut-F-400531",
"VGlut-F-500626", "VGlut-F-300646", "VGlut-F-700153", "VGlut-F-500772",
"VGlut-F-600798", "VGlut-F-800118", "VGlut-F-500349", "VGlut-F-700152",
"VGlut-F-800067", "VGlut-F-300495", "VGlut-F-700358", "VGlut-F-000106",
"VGlut-F-600558", "VGlut-F-900125", "VGlut-F-500856", "VGlut-F-700123",
"VGlut-F-300458", "VGlut-F-400280", "VGlut-F-600006", "VGlut-F-600016",
"VGlut-F-100221", "VGlut-F-500602", "VGlut-F-600443", "VGlut-F-600251",
"VGlut-F-500211", "VGlut-F-500075", "VGlut-F-700588", "VGlut-F-600232",
"VGlut-F-500638", "VGlut-F-800121", "VGlut-F-500259", "VGlut-F-500377",
"VGlut-F-600390", "VGlut-F-700008", "VGlut-F-500502", "VGlut-F-600018",
"VGlut-F-600751", "VGlut-F-500103", "VGlut-F-600438", "fru-F-700239",
"VGlut-F-600442", "VGlut-F-700464", "VGlut-F-600452", "VGlut-F-600459",
"VGlut-F-400664", "VGlut-F-400522", "VGlut-F-500406", "VGlut-F-400730",
"Gad1-F-900083", "Gad1-F-800206", "VGlut-F-500486", "VGlut-F-400791",
"VGlut-F-600458", "Gad1-F-800115", "fru-F-400086", "VGlut-F-500781",
"fru-F-400280", "fru-F-500512", "fru-F-500413", "fru-F-500463",
"VGlut-F-600316", "VGlut-F-700597", "fru-F-300205", "fru-F-400474",
"fru-M-500330", "fru-F-400416", "fru-F-400373", "fru-F-400451",
"fru-F-800031", "VGlut-F-800295", "fru-F-400547", "fru-F-400367",
"fru-F-500442", "fru-M-400381", "fru-M-400360", "fru-M-500340",
"fru-M-400248", "VGlut-F-700530", "VGlut-F-700596", "fru-F-600030",
"VGlut-F-500389", "VGlut-F-500429", "fru-F-400230", "VGlut-F-500146",
"VGlut-F-600347", "VGlut-F-400739", "VGlut-F-600787", "fru-F-500290",
"VGlut-F-100368", "fru-M-600008", "VGlut-F-200159", "VGlut-F-200559",
"VGlut-F-500082", "VGlut-F-200565", "VGlut-F-800072", "VGlut-F-400695",
"VGlut-F-600322", "VGlut-F-500450", "VGlut-F-500413", "VGlut-F-400677",
"VGlut-F-600243", "Cha-F-700191", "VGlut-F-800071", "fru-F-500092",
"VGlut-F-700056", "fru-F-400125", "VGlut-F-100376", "VGlut-F-700289",
"fru-F-500096", "VGlut-F-700484", "VGlut-F-500420", "VGlut-F-700307",
"fru-F-500247", "fru-F-600299", "Gad1-F-400173", "VGlut-F-400290",
"fru-F-300017", "Gad1-F-100006", "Gad1-F-800180", "Gad1-F-800036",
"Gad1-F-800136", "npf-F-300045", "fru-F-600230", "fru-F-600221",
"fru-F-600245", "VGlut-F-600248", "VGlut-F-500455", "VGlut-F-700563",
"VGlut-F-100378", "VGlut-F-500609", "VGlut-F-900060", "fru-F-500503",
"fru-F-400041", "VGlut-F-600340", "Gad1-F-000432", "VGlut-F-600116",
"fru-M-000266", "fru-M-500341", "fru-M-500382", "npf-M-300046",
"npf-M-400000", "fru-M-500211", "fru-M-500214", "fru-M-400285",
"fru-M-400387", "fru-M-800032", "VGlut-F-200567", "Gad1-F-500068",
"VGlut-F-500516", "VGlut-F-900045", "VGlut-F-500424", "VGlut-F-700533",
"VGlut-F-500607", "VGlut-F-700169", "VGlut-F-500107", "VGlut-F-600208",
"fru-F-500505", "Gad1-F-000264", "npf-F-300012", "fru-F-500472",
"VGlut-F-700221", "fru-M-400388", "fru-M-300154", "Gad1-F-000235",
"Gad1-F-300015", "Gad1-F-200057", "VGlut-F-600082", "fru-F-300090",
"npf-M-400023", "npf-M-100014", "npf-M-200050", "npf-M-100017",
"npf-M-200047", "npf-M-100016", "npf-M-200045", "npf-M-200065",
"npf-M-200046", "npf-M-200055", "npf-M-200031", "npf-M-200022",
"npf-M-200032", "npf-F-200026", "VGlut-F-000055", "Cha-F-000484",
"npf-M-100004", "npf-M-200021", "npf-M-100009", "npf-M-100011",
"npf-M-100000", "npf-M-200049", "npf-M-100007", "npf-M-300047",
"npf-M-100025", "VGlut-F-000126", "npf-F-200030", "npf-M-100010",
"npf-M-200019", "Gad1-F-000167", "npf-F-300029", "npf-F-200020",
"npf-F-200029", "npf-F-200027", "npf-F-200028", "npf-F-100004",
"npf-F-300040", "Gad1-F-100134", "npf-F-200018", "npf-F-100003",
"npf-F-200022", "npf-F-100009", "npf-F-100011", "npf-F-200019",
"npf-F-200012", "npf-F-200032", "npf-F-200044", "VGlut-F-000593",
"VGlut-F-200455", "Gad1-F-200073", "npf-F-000003", "npf-F-100012",
"npf-F-200007", "npf-F-200013", "npf-F-200034", "npf-F-200003",
"npf-F-200008", "npf-M-100001", "VGlut-F-200323", "npf-F-100010",
"npf-F-000000", "npf-F-100007", "npf-F-100001", "npf-F-200001",
"npf-F-200023", "npf-F-200043", "npf-F-000001", "npf-F-300003",
"VGlut-F-000426", "npf-F-300001", "npf-F-100000", "npf-F-100008",
"npf-F-200000", "npf-F-300030", "npf-F-200031", "npf-F-100002",
"npf-F-200005", "npf-F-200041", "npf-F-200035", "npf-F-200042",
"npf-F-100006", "npf-M-300052", "npf-M-200040", "npf-M-200066",
"npf-M-100026", "npf-M-200025", "npf-M-200051", "npf-M-200054",
"npf-M-200048", "npf-M-200011", "npf-M-200042", "npf-M-100021",
"npf-M-200053", "npf-M-100027", "npf-M-200023", "npf-M-100005",
"npf-M-100018", "npf-M-100008", "npf-M-200000", "npf-M-100003",
"npf-M-100002", "npf-M-200018", "npf-M-100013", "npf-M-200057",
"VGlut-F-000066", "npf-M-100028", "VGlut-F-400658", "VGlut-F-100381",
"fru-F-800040", "VGlut-F-000656", "VGlut-F-100370", "VGlut-F-700547",
"VGlut-F-200597", "VGlut-F-400875", "VGlut-F-700275", "fru-F-400050",
"fru-F-800019", "VGlut-F-500357", "fru-F-500368", "VGlut-F-500586",
"VGlut-F-700131", "VGlut-F-700165", "fru-F-900008", "VGlut-F-700321",
"fru-F-400529", "VGlut-F-600409", "fru-M-400271", "fru-M-400377",
"Gad1-F-300392", "fru-M-200339", "Gad1-F-400401", "Gad1-F-500217",
"Gad1-F-100324", "Cha-F-500078", "Gad1-F-100146", "Gad1-F-800042",
"VGlut-F-200566", "Cha-F-100059", "fru-M-400345", "npf-M-300050",
"VGlut-F-000563", "Gad1-F-500158", "npf-M-300049", "fru-M-400042",
"fru-M-300369", "fru-M-600062", "fru-M-500169", "fru-M-700196",
"fru-M-500123", "fru-M-600215", "fru-M-700157", "fru-M-400355",
"fru-M-400292", "fru-M-400313", "fru-F-400363", "fru-F-500571",
"Gad1-F-400353", "fru-M-400130", "fru-F-600263", "fru-F-700165",
"fru-F-500466", "fru-F-400276", "Gad1-F-500298", "VGlut-F-000035",
"VGlut-F-500497", "VGlut-F-500169", "VGlut-F-500826", "VGlut-F-700539",
"npf-F-200009", "npf-M-100006", "npf-M-100012", "npf-M-200038", "Cha-F-200397",
"Cha-F-200265", "Gad1-F-300381", "fru-M-800212", "Gad1-F-000063",
"fru-F-400444", "npf-M-200059", "VGlut-F-200029",
"Gad1-F-000391", "fru-F-000183", "VGlut-F-400927", "fru-M-000325",
"Gad1-F-000090")
l.upns = c("npf-M-300032", "VGlut-F-300491", "VGlut-F-600326", "fru-F-400149",
"VGlut-F-700188", "Cha-F-500006", "VGlut-F-800329", "Gad1-F-200064",
"Gad1-F-700275", "VGlut-F-800317", "Gad1-F-600446", "VGlut-F-000280",
"VGlut-F-000655", "VGlut-F-700040", "Gad1-F-200010", "Gad1-F-500115",
"npf-M-300027", "npf-M-300035", "npf-M-300008", "npf-M-400017",
"fru-M-200319", "Gad1-F-100197", "Gad1-F-300005", "fru-M-100386",
"VGlut-F-400869", "Gad1-F-000340", "Gad1-F-200328", "Gad1-F-300322",
"fru-M-400216", "Gad1-F-300144", "Cha-F-800119", "Cha-F-000479",
"VGlut-F-700515", "Gad1-F-000103", "VGlut-F-200188", "VGlut-F-600262",
"VGlut-F-900046", "Cha-F-100085", "Gad1-F-600219", "fru-M-400327",
"fru-F-700058", "VGlut-F-300622", "VGlut-F-700132", "VGlut-F-600767",
"VGlut-F-700460", "VGlut-F-300629", "VGlut-F-300635", "VGlut-F-600492",
"VGlut-F-600772", "VGlut-F-200598", "VGlut-F-800259", "VGlut-F-500774",
"Cha-F-300415", "VGlut-F-600753", "VGlut-F-700494", "Gad1-F-400168",
"Gad1-F-600296", "fru-F-700119", "VGlut-F-400067", "Gad1-F-700150",
"fru-F-000120", "VGlut-F-600107", "npf-F-300042", "VGlut-F-400514",
"VGlut-F-400008", "VGlut-F-200267", "VGlut-F-200047", "VGlut-F-600445",
"fru-F-400468", "npf-M-200024", "npf-M-400020", "npf-M-300028",
"npf-M-300006", "npf-M-400018", "GH146-M-400001", "VGlut-F-200574",
"VGlut-F-600450", "npf-M-300041", "Gad1-F-900035", "Cha-F-300252",
"fru-M-400325", "VGlut-F-400678", "fru-F-400051", "Cha-F-300104",
"Gad1-F-000192", "fru-F-000025", "Gad1-F-400171", "fru-M-400223",
"fru-M-400380", "npf-M-300048", "npf-M-100022", "npf-F-300020",
"fru-M-600178",
"Cha-F-300238",
"VGlut-F-900120", "VGlut-F-400620", "VGlut-F-500461", "VGlut-F-200569", "VGlut-F-700463",
"npf-M-200063", "fru-M-400375", "Cha-F-800120", "Gad1-F-100269",
"Gad1-F-300329", "VGlut-F-500412", "VGlut-F-700167",
"VGlut-F-200568", "VGlut-F-400000", "VGlut-F-300596", "VGlut-F-500431",
"VGlut-F-600209", "VGlut-F-700465", "Gad1-F-300227", "Gad1-F-400346",
"VGlut-F-400794", "VGlut-F-600175", "VGlut-F-300573",
"fru-M-100396", "fru-M-100331", "npf-F-000006", "fru-F-400235", "Gad1-F-400072")
bilateral.VL1.upns = c("Gad1-F-000286","Gad1-F-700120") # GNG cell body Vl1
bilateral.VP3.upns = c("Cha-F-000250", "Gad1-F-200188") # GNG cell body VP3
# Meta Data
malt.upns = c(ad.upns,l.upns,bilateral.VL1.upns,bilateral.VP3.upns)
df[malt.upns,]$modality = "Olfactory"
df[malt.upns,]$reference = "Jefferis et al. 2007"
df[c(malt.upns,bilateral.VL1.upns,bilateral.VP3.upns),]$class = "uPN"
df[malt.upns,]$dendritic.location = "AL"
df[malt.upns,]$tract = "mALT"
df[malt.upns,]$neurotransmitter = "ACh"
df[c(ad.upns,l.upns),"anatomy.group"] = "AL-mALT-PN1"
df[c(bilateral.VL1.upns,bilateral.VP3.upns),"anatomy.group"] = "AL-mALT-PN2"
df[ad.upns,]$cell.body.position = "AD"
df[l.upns,]$cell.body.position = "L"
df[c(bilateral.VL1.upns,bilateral.VP3.upns),]$cell.body.position = "GNG"
df[c(bilateral.VL1.upns),]$glomerulus = "VL1"
df[c(bilateral.VP3.upns),]$glomerulus = "VP3"
df[c(bilateral.VP3.upns),]$modality = "Thermosensory"
df[bilateral.VP3.upns,]$reference = "Stocker et al. 1990"
###### Assign mALT mPNs ######
l.malt.mpns.pal.plp = c("VGlut-F-000463", "Cha-F-300107", "VGlut-F-700115", "Cha-F-000271",
"Cha-F-300036")
df[l.malt.mpns.pal.plp,"anatomy.group"] = "AL-mALT-PN4"
l.malt.mpns.pal = c("VGlut-F-500570", "VGlut-F-600525", "VGlut-F-700198", "VGlut-F-800095",
"VGlut-F-100367", "VGlut-F-600690", "VGlut-F-700154", "VGlut-F-600301",
"VGlut-F-600300", "VGlut-F-600783", "VGlut-F-900121", "VGlut-F-500077",
"VGlut-F-600668", "VGlut-F-700214", "VGlut-F-000485", "VGlut-F-600106",
"VGlut-F-600737", "VGlut-F-500094", "Gad1-F-300036", "VGlut-F-600641",
"Gad1-F-100061", "VGlut-F-600310", "Gad1-F-200107", "VGlut-F-700471",
"VGlut-F-800289", "VGlut-F-500786", "VGlut-F-500299", "VGlut-F-900113",
"VGlut-F-100264", "VGlut-F-700079", "VGlut-F-900112", "VGlut-F-600795",
"Cha-F-000239")
df[l.malt.mpns.pal,"anatomy.group"] = "AL-mALT-PN5"
ad.mpns.calyx = c("VGlut-F-500407", "Trh-F-000062", "VGlut-F-400407", "VGlut-F-400376",
"VGlut-F-600770", "VGlut-F-900059", "VGlut-F-300623", "fru-F-500176",
"VGlut-F-600245", "VGlut-F-800323", "VGlut-F-400434", "VGlut-F-600366",
"VGlut-F-500852", "VGlut-F-700567", "VGlut-F-500183", "VGlut-F-600253",
"VGlut-F-500471", "VGlut-F-700500", "VGlut-F-500085", "VGlut-F-600379",
"VGlut-F-700558", "VGlut-F-500667", "Cha-F-300016", "Gad1-F-500299"
) # AD cell body position. Calycal projection
ad.mpns.no.calyx = c("VGlut-F-500031", "VGlut-F-400662", "VGlut-F-300628", "Gad1-F-500312",
"fru-M-500036")
l.mpns.no.calyx = c("Cha-F-000353", "Gad1-F-000384","Cha-F-200388")
df[c(ad.mpns.calyx,ad.mpns.no.calyx,l.mpns.no.calyx),"anatomy.group"] = "AL-mALT-PN6"
l.mpns = c("fru-M-000134", "fru-M-400296", "Trh-F-600015", "VGlut-F-700476",
"VGlut-F-900120", "VGlut-F-400620", "Cha-F-800120", "Gad1-F-100269",
"Gad1-F-300329") # No Calyx Projection. V cell body location.
df[l.mpns,"anatomy.group"] = "AL-mALT-PN7"
l.mpns.claw = c("VGlut-F-500857", "VGlut-F-500358", "VGlut-F-600123", "VGlut-F-600384",
"VGlut-F-600791", "VGlut-F-600748")
df[l.mpns.claw,"anatomy.group"] = "AL-mALT-PN8"
ad.mpns.sp = c("VGlut-F-700407", "VGlut-F-400370", "VGlut-F-200354", "5HT1A-F-400030","VGlut-F-300263")
df[ad.mpns.sp,"anatomy.group"] = "AL-mALT-PN9"
l.mpns.sp = c("Cha-F-300398", "Gad1-F-100169", "Cha-F-000183", "E0585-F-200014")
df[l.mpns.sp,"anatomy.group"] = "AL-mALT-PN10"
l.gng.mpns.sp = c("Gad1-F-400282", "5HT1A-F-800014", "VGlut-F-700270")
df[l.gng.mpns.sp,"anatomy.group"] = "AL-mALT-PN11"
# Meta data
malt.mpns = c(l.malt.mpns.pal, l.malt.mpns.pal.plp, ad.mpns.calyx,ad.mpns.no.calyx,l.mpns.no.calyx,l.mpns,l.mpns.claw,ad.mpns.sp,l.mpns.sp,l.gng.mpns.sp)
df[malt.mpns,]$modality = "Olfactory"
df[l.gng.mpns.sp,]$modality = "Olfactory+Gustatory"
df[c(l.malt.mpns.pal,l.malt.mpns.pal.plp),]$modality = "Thermosensory"
df[malt.mpns,]$reference = "ASB"
df[c(l.malt.mpns.pal, l.malt.mpns.pal.plp),]$reference = "Frank et al. 2015"
df[malt.mpns,]$class = "mPN"
df[malt.mpns,]$dendritic.location = "AL"
df[l.gng.mpns.sp,]$dendritic.location = "AL.GNG"
df[malt.mpns,]$tract = "mALT"
df[malt.mpns,]$neurotransmitter = "ACh"
df[c(l.malt.mpns.pal.plp,l.malt.mpns.pal,l.mpns.no.calyx,l.mpns,l.mpns.claw,l.mpns.sp,l.gng.mpns.sp),]$cell.body.position = "L"
df[c(ad.mpns.calyx,ad.mpns.no.calyx,ad.mpns.sp),]$cell.body.position = "AD"
###### Assign mALT Neuromodulators ######
al.ca.lh.malt = c("Trh-F-600017", "Gad1-F-800089", "Gad1-F-800106")
df[al.ca.lh.malt,"anatomy.group"] = "AL-mALT-5HT1"
df[al.ca.lh.malt,]$reference = "Tanaka et al. 2012"
df[al.ca.lh.malt,]$modality = "Neuromodulatory"
df[al.ca.lh.malt,]$tract = "mALT"
df[al.ca.lh.malt,]$dendritic.location = "AL"
df[al.ca.lh.malt,]$neurotransmitter = "5HT"
df[al.ca.lh.malt,]$cell.body.position = "L"
al.gng.ca.lh.malt = c("Tdc2-F-000007", "Tdc2-F-400026")
df[al.gng.ca.lh.malt,"anatomy.group"] = "AL.GNG-OA-VUMa2"
df[al.gng.ca.lh.malt,]$reference = "Busch et al. 2009"
df[al.gng.ca.lh.malt,]$modality = "Neuromodulatory"
df[al.gng.ca.lh.malt,]$tract = "mALT"
df[al.gng.ca.lh.malt,]$dendritic.location = "Eosophagus"
df[al.gng.ca.lh.malt,]$neurotransmitter = "Oct"
df[al.gng.ca.lh.malt,]$cell.body.position = "GNG"
###### Assign mlALT PNs ######
mlalt.upns = c("Gad1-F-500077", "VGlut-F-400917", "VGlut-F-800247", "fru-F-300036",
"5-HT1B-M-300003", "Gad1-F-400088","fru-F-500420", "Gad1-F-000185", "Cha-F-500249", "Gad1-F-200451")
df[mlalt.upns,"anatomy.group"] = "AL-mlALT-PN1"
mlalt.mpns = c("VGlut-F-300636", "VGlut-F-700218", "VGlut-F-400167", "VGlut-F-600556",
"VGlut-F-400263", "VGlut-F-700473", "Trh-F-600066", "VGlut-F-500817",
"Trh-F-600007", "VGlut-F-700076", "VGlut-F-400225", "VGlut-F-500114",
"VGlut-F-700559", "VGlut-F-700420", "fru-F-700180", "Trh-F-900010",
"VGlut-F-700523", "VGlut-F-900124", "fru-F-500222", "fru-F-700150",
"VGlut-F-400165", "VGlut-F-300532", "Trh-F-600014", "Trh-F-600084",
"VGlut-F-200517", "VGlut-F-800270", "Trh-F-600095", "Trh-F-000032",
"VGlut-F-600669", "VGlut-F-300274", "Trh-F-600092", "Trh-F-500004",
"VGlut-F-400178", "VGlut-F-700022", "Trh-F-500077", "VGlut-F-500824",
"Trh-F-500152", "Trh-F-600108", "VGlut-F-700410", "VGlut-F-500848",
"Trh-F-500046", "VGlut-F-600023", "fru-F-600120", "VGlut-F-600757",
"Trh-F-500059", "VGlut-F-200315", "VGlut-F-500761", "Trh-F-500199",
"VGlut-F-400172", "VGlut-F-500205", "Trh-F-500049", "Trh-F-300080",
"Trh-F-500061", "Trh-F-600072", "Trh-F-800002", "Trh-F-600104",
"Trh-F-900031", "VGlut-F-500787", "Trh-F-700019", "VGlut-F-700569",
"VGlut-F-700428", "Trh-M-900023", "Trh-M-600114", "fru-M-400109",
"Trh-M-700027", "Trh-M-700084", "Trh-M-500061", "Trh-M-400028",
"fru-M-400087", "Trh-M-500165", "Trh-M-600062", "Trh-M-900035",
"fru-M-800089", "fru-M-300273", "fru-M-800076", "fru-M-000089",
"Trh-M-600105", "Trh-F-600090", "Trh-M-600014", "Trh-M-900034",
"Trh-M-500007", "Trh-M-700005", "Trh-M-600032", "Trh-M-500053",
"Trh-M-400043", "Trh-M-500005", "VGlut-F-100246", "Trh-F-500114",
"Trh-F-600077", "VGlut-F-500687", "fru-F-500211", "Trh-M-600013",
"Trh-M-900012", "Cha-F-000093", "GH146-M-300000", "Gad1-F-500088",
"Trh-F-400014", "VGlut-F-400096", "VGlut-F-500230", "VGlut-F-500473",
"VGlut-F-500829", "Trh-F-400030", "VGlut-F-600060", "VGlut-F-200571",
"VGlut-F-700514", "Gad1-F-300091", "VGlut-F-400634", "VGlut-F-800128",
"VGlut-F-800257", "VGlut-F-700243", "VGlut-F-500199", "Gad1-F-900027",
"VGlut-F-800284", "VGlut-F-700501", "GH146-M-300001", "VGlut-F-500300",
"VGlut-F-500721", "VGlut-F-500092", "VGlut-F-000575", "VGlut-F-500809",
"VGlut-F-700552", "VGlut-F-800290", "VGlut-F-400086", "VGlut-F-700269",
"Trh-M-400074", "Trh-M-600076", "Trh-M-700024", "Trh-M-500106",
"Trh-M-400040", "Trh-M-500043", "Trh-M-700025", "Trh-M-500018",
"Trh-M-700069", "Trh-M-500146", "Trh-M-400082", "Trh-M-500094",
"Trh-M-500180", "Trh-M-700009", "Trh-M-700058", "Trh-F-700038",
"Trh-F-400067", "Trh-F-700032", "Trh-F-500211", "VGlut-F-400151",
"Trh-F-400000", "Trh-F-500135", "VGlut-F-300627", "Trh-F-500220",
"Trh-F-700021", "VGlut-F-500039", "Trh-F-500200", "VGlut-F-500038",
"VGlut-F-800276", "Trh-F-700034", "Trh-F-500213", "VGlut-F-400408",
"Trh-F-500217", "VGlut-F-400111", "VGlut-F-700044", "VGlut-F-600691",
"Trh-F-500124", "Trh-F-500036", "Trh-F-500027", "Trh-F-600011",
"Trh-F-700035", "VGlut-F-500197","5HT1A-M-300002", "Gad1-F-100151", "Gad1-F-700193", "Gad1-F-300166",
"Gad1-F-700238", "Gad1-F-500168", "Gad1-F-600191", "VGlut-F-600553",
"VGlut-F-700267", "fru-F-500439", "Gad1-F-400339", "fru-M-100354",
"fru-M-700209", "fru-M-700289", "fru-M-000258", "fru-M-600160",
"fru-M-600175", "fru-M-600150", "fru-M-100310", "fru-M-800120",
"fru-M-800128", "fru-M-400267", "fru-M-500395", "fru-F-800076",
"Cha-F-100467", "fru-F-400442", "Gad1-F-000163", "Gad1-F-200348",
"Gad1-F-100111", "Gad1-F-800133", "5HT1A-F-400013", "Gad1-F-300324",
"Gad1-F-400219", "Gad1-F-300281", "Gad1-F-400395", "VGlut-F-400720",
"Gad1-F-300249", "Gad1-F-700134", "Gad1-F-100234", "5HT1A-M-600017",
"Gad1-F-500128", "Gad1-F-900162", "Gad1-F-000395", "VGlut-F-500551",
"fru-M-600148", "fru-F-500485", "fru-F-500412", "Gad1-F-600294",
"5HT1A-F-600006", "fru-F-600185", "Gad1-F-400314","Cha-F-300458","Gad1-F-900093",
"5HT1A-M-600015", "VGlut-F-300564","Gad1-F-300382")
df[mlalt.mpns,"anatomy.group"] = "AL-mlALT-PN2"
al.mlpn3 = c("GH146-M-000001", "GH146-F-300000", "GH146-M-400000")
df[al.mlpn3,"anatomy.group"] = "AL-mlALT-PN3"
# Meta data
mlalt.mpns = c(mlalt.upns,mlalt.mpns,al.mlpn3)
df[mlalt.mpns,]$modality = "Olfactory"
df[mlalt.mpns,]$reference = "Strutz et al. 2014"
df[mlalt.mpns,]$class = "mPN"
df[mlalt.upns,]$class = "uPN"
df[mlalt.mpns,]$dendritic.location = "AL"
df[mlalt.mpns,]$cell.body.position = "V"
df[mlalt.mpns,]$tract = "mlALT"
df[mlalt.mpns,]$neurotransmitter = "GABA"
###### Assign lALT PNs ######
lalt.uni = "Gad1-F-200095" #V
df[lalt.uni,"anatomy.group"] = "AL-lALT-PN1"
df[lalt.uni,"glomerulus"] = "V"
lalt.mpns2 = c("Trh-M-000170", "Trh-M-000008", "Trh-M-000070", "VGlut-F-100003",
"Trh-M-000172", "Trh-M-100037", "Trh-F-000043", "Trh-F-000041",
"VGlut-F-000430", "VGlut-F-000624", "Trh-F-100037", "Trh-F-100038",
"Trh-F-000008", "Trh-F-000009", "Trh-F-100032", "VGlut-F-000259",
"VGlut-F-000370", "Gad1-F-000431", "VGlut-F-100272", "VGlut-F-100184",
"5HT1A-F-100004", "5HT1A-F-100032", "Cha-F-500056", "Gad1-F-200299")
df[lalt.mpns2,"anatomy.group"] = "AL-lALT-PN2"
lalt.mpns3 = c("Cha-F-900038","L2444#1")
df[lalt.mpns3,"anatomy.group"] = "AL-lALT-PN3"
lalt.mpns5 = c("Trh-M-200074", "Gad1-F-400223", "fru-M-200462", "Cha-F-500003",
"Gad1-F-200342", "fru-F-000086", "fru-F-000197", "GH146-M-000000",
"Gad1-F-400131", "fru-M-000094", "fru-M-400192")
df[lalt.mpns5,"anatomy.group"] = "AL-lALT-PN5"
from.contra.lalt = c("Trh-M-000103", "Trh-M-200128",
"Trh-M-100007", "Trh-M-100003", "Trh-M-100095")
df[from.contra.lalt,"anatomy.group"] = "AL-lALT-PN6"
from.contra.ipsi.lalt = c("VGlut-F-200051", "VGlut-F-200077")
df[from.contra.ipsi.lalt,"anatomy.group"] = "AL-lALT-PN7"
# Meta data
lalt.pns = c(lalt.uni,lalt.mpns2,lalt.mpns3,lalt.mpns5,from.contra.lalt,from.contra.ipsi.lalt)
df[lalt.pns,]$modality = "Olfactory"
df[lalt.mpns5,]$modality = "Thermosensory"
df[lalt.pns,]$reference = "Tanaka et al. 2012"
df[lalt.mpns5,]$reference = "Frank et al. 2015"
df[lalt.pns,]$class = "mPN"
df[c(lalt.uni,lalt.mpns5),]$class = "uPN"
df[lalt.pns,]$dendritic.location = "AL"
df[lalt.pns,]$cell.body.position = "L"
df[lalt.pns,]$tract = "lALT"
df[lalt.pns,]$neurotransmitter = "ACh"
df[lalt.uni,]$glomerulus = "V"
df[lalt.uni,]$reference = "Lin et al. 2015"
###### Assign tALT PNs ######
v.glom.upns = c("fru-M-000035", "VGlut-F-200269") # last two are V. tALT?
df[v.glom.upns,"anatomy.group"] = "AL-t1ALT-PN1"
talt.mpns = c("Cha-F-300207", "Cha-F-300191", "VGlut-F-100267", "VGlut-F-000276" ,"VGlut-F-100102")
df[talt.mpns,"anatomy.group"] = "AL-t3ALT-PN2"
talt.sp = ("VGlut-F-000189")
df[talt.sp,"anatomy.group"] = "AL-t3ALT-PN3"
talt.pn4 = c("VGlut-F-300085", "VGlut-F-300235", "VGlut-F-300555", "VGlut-F-300575",
"VGlut-F-500322", "VGlut-F-200386", "VGlut-F-300327")
df[talt.pn4,"anatomy.group"] = "AL-t3ALT-PN4"
# Meta data
talt.pns = c(v.glom.upns,talt.mpns,talt.sp,talt.pn4)
df[talt.pns,]$modality = "Olfactory"
df[talt.mpns,]$modality = "Thermosensory"
df[talt.pns,]$reference = "ASB"
df[c(v.glom.upns),]$reference = "Tanaka et al. 2012"
df[talt.pns,]$class = "mPN"
df[talt.pns,]$dendritic.location = "AL"
df[talt.pns,]$cell.body.position = "L"
df[talt.pn4,]$cell.body.position = "AD"
df[talt.pns,]$tract = "t3ALT"
df[talt.pns,]$tract = "tALT"
df[talt.pns,]$neurotransmitter = "ACh"
df[talt.mpns,]$modality = "Thermosensory"
df[c(v.glom.upns),]$glomerulus = "V"
df[c(v.glom.upns),]$reference = "Lin et al. 2015"
###### Assign Gustatory PNs ######
gust.malt = c("5HT1A-F-400025", "5HT1A-F-800022")
df[gust.malt,"anatomy.group"] = "GNG-mALT-PN1"
gust.lalt = c("fru-F-000219","fru-M-300287","fru-M-300451","fru-M-800005","fru-M-100062","fru-M-800155", "fru-M-600165","fru-M-200364")
df[gust.lalt,"anatomy.group"] = "GNG-lALT-PN1"
gusts.talt = c("Cha-F-400018","VGlut-F-300341","VGlut-F-000295","VGlut-F-500260","VGlut-F-100128")
df[gusts.talt,"anatomy.group"] = "GNG-t3ALT-PN1"
gusts.central = c("fru-M-300314")
df[gusts.central,"anatomy.group"] = "GNG-Central-PN1"
mAL = c("fru-F-600207","Gad1-F-600213","Gad1-F-400450","fru-M-600142","fru-M-700040","fru-M-000273","fru-M-500159","fru-M-400140","fru-M-500247","fru-M-000152")
df[mAL,"anatomy.group"] = "mAL-PN"
# Meta data
gusts = c(gust.malt,gust.lalt,lalt.mpns3,gusts.talt,gusts.central,mAL)
df[gusts,]$modality = "Gustatory"
df[gusts,]$reference = "ASB"
df[gusts,]$dendritic.location = "AL"
df[gusts,]$cell.body.position = "L"
df[gust.malt,]$tract = "mALT"
df[gust.lalt,]$tract = "lALT"
df[gusts.talt,]$tract = "t3ALT"
df[gusts.central,]$tract = "Central"
df[mAL,]$tract = "mAL"
df[gusts,]$neurotransmitter = "ACh"
df[mAL,]$neurotransmitter = "GABA"
df[mAL,]$reference ="Kimura et al. 2010"
###### Assign Other LH inputs ######
###
wedge.pn.1 = c("VGlut-F-600117", "Gad1-F-100133", "VGlut-F-500810",
"VGlut-F-100375", "fru-M-300059","L984#7", "L770#1", "L770#2", "L984#9", "L984#8", "L112#4",
"L984#1", "L984#2", "L984#3", "L112#1", "L984#5", "L112#2", "L112#3",
"L984#4", "L772#2", "L772#1", "L984#6") # 70C
df[wedge.pn.1,"anatomy.group"] = "WED-PN1"
df[wedge.pn.1,]$modality = "Mechanosensation"
df[wedge.pn.1,]$reference = "Dolan et al. 2018"
df[wedge.pn.1,]$dendritic.location = "WED"
df[wedge.pn.1,]$cell.body.position = "WED"
df[wedge.pn.1,]$tract = "WEDT"
df[wedge.pn.1,]$neurotransmitter = "GABA"
wedge.pn.2 = c("Cha-F-000514", "Cha-F-600036","L1524#2", "L1524#3", "L1524#1", "L1524#4") # 70D
df[wedge.pn.2,"anatomy.group"] = "WED-PN2"
df[wedge.pn.2,]$modality = "Mechanosensation"
df[wedge.pn.2,]$reference = "Dolan et al. 2018"
df[wedge.pn.2,]$dendritic.location = "WED"
df[wedge.pn.2,]$cell.body.position = "WED"
df[wedge.pn.2,]$tract = "WEDT"
df[wedge.pn.2,]$neurotransmitter = "ChA, GABA"
wedge.pn.3 = c("L452#3", "L1668#4", "L452#1", "L1518#1", "L1518#4", "L1949#1",
"L1949#3", "L1668#3", "L1668#2", "L1518#3", "L1518#5", "L1518#2",
"L1668#1", "L452#2","L1949#2") # 70A
df[wedge.pn.3,"anatomy.group"] = "WED-PN3"
df[wedge.pn.3,]$modality = "Mechanosensation"
df[wedge.pn.3,]$reference = "Dolan et al. 2018"
df[wedge.pn.3,]$dendritic.location = "WED"
df[wedge.pn.3,]$cell.body.position = "WED"
df[wedge.pn.3,]$tract = "WEDT"
df[wedge.pn.3,]$neurotransmitter = "GABA"
df[wedge.pn.3,]$type = "IN/ON"
wedge.pn.5 = c("L1337#4", "L1337#7", "L1337#3", "L1337#5", "L1337#2", "L1337#8",
"L1337#1", "L1337#6") # 70B
df[wedge.pn.5,"anatomy.group"] = "WED-PN5"
df[wedge.pn.5,]$modality = "Mechanosensation"
df[wedge.pn.5,]$reference = "Dolan et al. 2018"
df[wedge.pn.5,]$dendritic.location = "WED"
df[wedge.pn.5,]$cell.body.position = "WED"
df[wedge.pn.5,]$tract = "WEDT"
df[wedge.pn.5,]$neurotransmitter = "ChA, GABA"
###
mbonap3 = c("Gad1-F-700088", "E0585-F-200005", "Gad1-F-400293", "Cha-F-800086")
mbonap2ap3 = c("Gad1-F-400259","E0585-F-200015","E0585-F-300042")
mbonap= c(mbonap3,mbonap2ap3)
df[mbonap2ap3,"anatomy.group"] = "MBON-a'2-a'3"
df[mbonap3,"anatomy.group"] = "MBON-a'2-a'3"
df[mbonap,"anatomy.group"] = "MBON-a'"
df[mbonap,]$modality = "Memory"
df[mbonap,]$reference = "ASB"
df[mbonap3,]$reference = "Aso et al. 2014"
df[mbonap,]$dendritic.location = "MB"
df[mbonap,]$cell.body.position = "SP"
df[mbonap,]$tract = "From_MB"
df[mbonap,]$neurotransmitter = "ACh"
mbons = c(mbonap3,mbonap2ap3)
###
centrifugal = c("VGlut-F-200116","Gad1-F-700066", "Cha-F-000310")
df[centrifugal,"anatomy.group"] = "Centrifugal"
df[centrifugal,]$modality = "Centrifugal"
df[centrifugal,]$reference = "ASB"
df[centrifugal,]$dendritic.location = "SP"
df[centrifugal,]$cell.body.position = "SP"
df[centrifugal,]$tract = "Centrifugal"
df[centrifugal,]$neurotransmitter = "Unknown"
###
lp.pns = c("Trh-M-500187", "Trh-M-500155", "Trh-M-500142", "Trh-M-500078",
"Trh-M-400020", "fru-M-000075", "Trh-M-500144", "Trh-F-500222",
"Trh-M-500183")
df[lp.pns,"anatomy.group"] = "AVLP-PN1"
df[lp.pns,]$modality = "Unknown"
df[lp.pns,]$reference = "ASB"
df[lp.pns,]$dendritic.location = "PV2"
df[lp.pns,]$cell.body.position = "PLP/AVLP/PVLP/WED"
df[lp.pns,]$tract = "LPT"
df[lp.pns,]$neurotransmitter = "Unknown"
wed.pn.6 = c("Cha-F-000086","L85#1", "L85#2", "L85#3", "L85#4", "L85#5")
df[wed.pn.6,"anatomy.group"] = "WED-PN6"
df[wed.pn.6,]$modality = "Unknown"
df[wed.pn.6,]$reference = "ASB"
df[wed.pn.6,]$dendritic.location = "PV2"
df[wed.pn.6,]$cell.body.position = "LH"
df[wed.pn.6,]$tract = "LPT"
df[wed.pn.6,]$neurotransmitter = "Unknown"
###
unknowns = c("fru-M-300418", "fru-M-800154", "TH-M-100006", "TH-M-000001",
"TH-M-100010", "fru-M-700238", "TH-M-300030", "TH-M-100000",
"fru-M-500333", "fru-M-200392", "TH-M-100083", "TH-M-000063",
"TH-M-000064", "TH-M-200055", "TH-M-100005", "TH-M-300036", "TH-F-200113",
"TH-M-100021", "TH-M-200011", "TH-M-800000", "TH-M-100080", "TH-M-200053",
"TH-M-200025", "TH-M-200047", "TH-F-000005", "TH-F-300048", "TH-F-000007",
"TH-F-100061", "TH-F-000098", "TH-F-500002", "TH-F-000102", "TH-F-200129",
"TH-F-000066", "TH-F-000081", "fru-F-400501", "TH-F-300015",
"TH-F-100097", "fru-M-400054", "fru-M-100262", "fru-F-700132",
"VGlut-F-100132", "VGlut-F-800203", "VGlut-F-100147", "VGlut-F-400519",
"fru-F-100083", "VGlut-F-000200", "TH-F-000086", "TH-F-100101",
"TH-F-100111", "TH-F-000095", "TH-F-100105", "TH-F-100108", "TH-F-200018",
"TH-F-100103", "TH-M-300008", "TH-F-100047", "TH-F-000062", "TH-M-100041",
"TH-F-200011", "TH-F-100073", "TH-F-000104", "TH-F-000067", "TH-F-000076",
"TH-F-100090", "TH-F-100045", "TH-F-300004", "TH-F-100065", "TH-F-200025",
"TH-F-000003", "TH-F-000044", "TH-F-000096", "TH-F-200035", "TH-F-100037",
"TH-F-200019", "TH-M-100008", "TH-F-300006", "TH-F-100003", "TH-M-000059",
"TH-M-500002", "TH-M-100058", "TH-M-000024", "TH-M-000000", "TH-M-200056",
"TH-M-100071", "TH-M-300041", "TH-M-200036", "TH-M-500001", "TH-M-000065",
"TH-M-100003", "TH-M-000031", "TH-M-400002", "TH-M-100012", "TH-M-000002",
"TH-M-100033", "TH-M-000069", "TH-M-200062", "TH-M-300020", "fru-F-500552",
"fru-M-800167", "fru-M-100135", "fru-M-200484", "fru-M-600171",
"fru-M-100392", "fru-M-200422", "fru-M-400364", "fru-M-200246",
"fru-M-600093")
df[unknowns,"anatomy.group"] = "Expansive-Putative"
df[unknowns,]$modality = "Unknown"
df[unknowns,]$reference = "ASB"
df[unknowns,]$dendritic.location = "Uncertain"
df[unknowns,]$cell.body.position = "PD6"
df[unknowns,]$tract = "Uncertain"
df[unknowns,]$neurotransmitter = "Unknown"
###### Dopaminergic input ######
dope = c("Gad1-F-500004","TH-M-200079","TH-M-300048","TH-M-000042","TH-M-200033","TH-M-200035",
"MB583B#1","MB583B#2","MB583B#3")
df[dope,"anatomy.group"] = "PPL2ab-PN1"
df[dope,]$modality = "Neuromodulatory"
df[dope,]$reference = "ASB"
df[dope,]$dendritic.location = "PV1"
df[dope,]$cell.body.position = "PV1"
df[dope,]$tract = "Uncertain"
df[dope,]$neurotransmitter = "Dopamine"
###### Assign not proper LH input ######
notLHPNproper = c("VGlut-F-300371","fru-M-300137","fru-M-600016","fru-M-000092", "fru-M-400395", "npf-F-000009","Gad1-F-200162","Cha-F-900049","Cha-F-000324","Gad1-F-500304","Gad1-F-500108",
"fru-F-100103","Gad1-F-100227","fru-M-900056","TH-F-100094","fru-F-200195","fru-M-400235","Gad1-F-800188","fru-M-300291","Gad1-F-600120",
"fru-M-500164", "Trh-M-200073", "Cha-F-700234", "Gad1-F-500259","npf-M-400021","VGlut-F-000488","VGlut-F-300369","GH146-M-400001","VGlut-F-000344","VGlut-F-000547") #Some suspected developmental wiring errors
df[notLHPNproper,"anatomy.group"] = "notLHproper"
df[notLHPNproper,]$modality = "Unknown"
df[notLHPNproper,]$reference = "ASB"
df[notLHPNproper,]$dendritic.location = "Uncertain"
df[notLHPNproper,]$cell.body.position = "PD6"
df[notLHPNproper,]$tract = "Uncertain"
df[notLHPNproper,]$neurotransmitter = "Unknown"
###### Generate new object ######
df$anatomy.group = factor(df$anatomy.group,levels = sort(unique(df$anatomy.group)))
df$cell.type = df$anatomy.group
df[mbons,"type"] = "MBON"
df$skeleton.type = "FlyCircuit"
df[names(lhin.mcfo),"skeleton.type"] = "MCFO"
df$id = rownames(df)
most.lhins = lh.inputs
attr(most.lhins,"df") = df
jefferislab/lhns documentation built on Aug. 20, 2020, 10:10 p.m.
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# Process FlyCircuit data
library(nat)
library(flycircuit)
# Get data
load("data-raw/lh.inputs.rda")
md.mcfo = nat::as.neuronlist(nat::read.neuronlistfh(nat.utils::find_extdata('lh.mcfo.rds',package='lhns')))
if(!is.null(md.mcfo[,"frechter.cell.type"])){
md.mcfo[,"cell.type"] = md.mcfo[,"frechter.cell.type"]
}
lhin.mcfo = md.mcfo[names(md.mcfo)%in%c("MB583B#1","MB583B#2","MB583B#3","L2444#1","L85#1", "L85#2", "L85#3", "L85#4", "L85#5",
"L452#3", "L1668#4", "L452#1", "L1518#1", "L1518#4", "L1949#1",
"L1949#3", "L1668#3", "L1668#2", "L1518#3", "L1518#5", "L1518#2",
"L1668#1", "L452#2","L1949#2","L984#7", "L770#1", "L770#2", "L984#9", "L984#8", "L112#4",
"L984#1", "L984#2", "L984#3", "L112#1", "L984#5", "L112#2", "L112#3",
"L984#4", "L772#2", "L772#1", "L984#6","L1337#4", "L1337#7", "L1337#3", "L1337#5", "L1337#2", "L1337#8",
"L1337#1", "L1337#6","L1524#2", "L1524#3", "L1524#1", "L1524#4",
"L984#7", "L770#1", "L770#2", "L984#9", "L984#8", "L112#4",
"L984#1", "L984#2", "L984#3", "L112#1", "L984#5", "L112#2", "L112#3",
"L984#4", "L772#2", "L772#1", "L984#6")]
lh.inputs = c(lh.inputs,lhin.mcfo)
df = lh.inputs[,]
df = df[,c("gene","sex","LH_side","glomerulus")]
df$anatomy.group = NA
df$modality = NA
df$class = "non-glomerular"
df$glomerulus = NA
df$tract = NA
df$type = "IN"
df$neurotransmitter = NA
df$reference = NA
df$dendritic.location = NA
df$cell.body.position = NA
df$good.trace = TRUE
marta <- function(n){
e = n[n%in%flycircuit::fc_neuron(names(flycircuit::fc_glom()))]
f = flycircuit::fc_glom()[flycircuit::fc_neuron(names(flycircuit::fc_glom()))%in%e]
names(f) = flycircuit::fc_neuron(names(f))
g = names(f)
names(g) = f
g
}
###### Assign Glomeruli ######
i = marta(names(lh.inputs))
df[i,]$glomerulus = names(i)
# VAsomething appears to be VA4, VA4 appears to be something else, VA3 perhaps
g = i[grepl("VAsomething",names(i))]
df[g,]$glomerulus = "VA4"
g = i[grepl("VA4",names(i))]
df[g,]$glomerulus = "VM4"
###### Assign mALT uPNs ######
ad.upns = c("fru-M-500154", "VGlut-F-400532", "fru-M-400041", "VGlut-F-700359",
"VGlut-F-400402", "VGlut-F-200348", "VGlut-F-800046", "VGlut-F-500659",
"VGlut-F-800075", "VGlut-F-700240", "VGlut-F-900052", "VGlut-F-200560",
"VGlut-F-400668", "VGlut-F-500537", "VGlut-F-400023", "VGlut-F-700103",
"VGlut-F-800097", "VGlut-F-500868", "VGlut-F-600746", "Gad1-F-500167",
"VGlut-F-300450", "VGlut-F-500635", "VGlut-F-500016", "VGlut-F-500202",
"VGlut-F-500727", "VGlut-F-000606", "fru-F-000079", "VGlut-F-600005",
"VGlut-F-600375", "VGlut-F-700285", "fru-M-500171", "VGlut-F-600479",
"VGlut-F-700109", "VGlut-F-500870", "VGlut-F-700331", "VGlut-F-600104",
"VGlut-F-600314", "VGlut-F-600671", "VGlut-F-700210", "VGlut-F-700598",
"VGlut-F-500447", "VGlut-F-600371", "VGlut-F-700215", "VGlut-F-800044",
"VGlut-F-500864", "VGlut-F-700101", "VGlut-F-400432", "VGlut-F-700104",
"VGlut-F-700209", "VGlut-F-400176", "VGlut-F-800104", "VGlut-F-100369",
"VGlut-F-800211", "VGlut-F-500160", "VGlut-F-400444", "VGlut-F-800123",
"VGlut-F-500257", "VGlut-F-700254", "VGlut-F-800031", "VGlut-F-600093",
"VGlut-F-900102", "VGlut-F-400663", "VGlut-F-500298", "VGlut-F-400533",
"VGlut-F-700075", "VGlut-F-800053", "VGlut-F-500022", "VGlut-F-500057",
"VGlut-F-500058", "VGlut-F-600494", "VGlut-F-700245", "VGlut-F-800143",
"VGlut-F-400260", "VGlut-F-500580", "VGlut-F-500548", "VGlut-F-700440",
"VGlut-F-500333", "VGlut-F-400218", "VGlut-F-400719", "VGlut-F-800089",
"VGlut-F-700107", "VGlut-F-800047", "VGlut-F-700147", "VGlut-F-500076",
"VGlut-F-700323", "VGlut-F-600482", "VGlut-F-500237", "VGlut-F-500303",
"VGlut-F-000391", "VGlut-F-500751", "VGlut-F-700124", "Cha-F-100073",
"VGlut-F-800275", "VGlut-F-600353", "VGlut-F-900068", "VGlut-F-500118",
"VGlut-F-700182", "VGlut-F-700504", "VGlut-F-500594", "VGlut-F-600327",
"fru-F-700187", "Gad1-F-400075", "VGlut-F-600797", "VGlut-F-500828",
"VGlut-F-700185", "VGlut-F-600471", "VGlut-F-500189", "VGlut-F-700287",
"VGlut-F-400059", "VGlut-F-600405", "VGlut-F-500026", "VGlut-F-600011",
"VGlut-F-400138", "VGlut-F-800102", "VGlut-F-400462", "VGlut-F-500839",
"VGlut-F-700570", "VGlut-F-600145", "VGlut-F-700434", "VGlut-F-700439",
"VGlut-F-700437", "fru-F-300093", "VGlut-F-700412", "VGlut-F-500248",
"VGlut-F-900081", "fru-F-500103", "Gad1-F-400129", "VGlut-F-700301",
"VGlut-F-300641", "VGlut-F-500178", "VGlut-F-700179", "VGlut-F-800048",
"VGlut-F-500563", "VGlut-F-600146", "VGlut-F-800124", "VGlut-F-500143",
"VGlut-F-500582", "VGlut-F-500334", "VGlut-F-600725", "VGlut-F-400531",
"VGlut-F-500626", "VGlut-F-300646", "VGlut-F-700153", "VGlut-F-500772",
"VGlut-F-600798", "VGlut-F-800118", "VGlut-F-500349", "VGlut-F-700152",
"VGlut-F-800067", "VGlut-F-300495", "VGlut-F-700358", "VGlut-F-000106",
"VGlut-F-600558", "VGlut-F-900125", "VGlut-F-500856", "VGlut-F-700123",
"VGlut-F-300458", "VGlut-F-400280", "VGlut-F-600006", "VGlut-F-600016",
"VGlut-F-100221", "VGlut-F-500602", "VGlut-F-600443", "VGlut-F-600251",
"VGlut-F-500211", "VGlut-F-500075", "VGlut-F-700588", "VGlut-F-600232",
"VGlut-F-500638", "VGlut-F-800121", "VGlut-F-500259", "VGlut-F-500377",
"VGlut-F-600390", "VGlut-F-700008", "VGlut-F-500502", "VGlut-F-600018",
"VGlut-F-600751", "VGlut-F-500103", "VGlut-F-600438", "fru-F-700239",
"VGlut-F-600442", "VGlut-F-700464", "VGlut-F-600452", "VGlut-F-600459",
"VGlut-F-400664", "VGlut-F-400522", "VGlut-F-500406", "VGlut-F-400730",
"Gad1-F-900083", "Gad1-F-800206", "VGlut-F-500486", "VGlut-F-400791",
"VGlut-F-600458", "Gad1-F-800115", "fru-F-400086", "VGlut-F-500781",
"fru-F-400280", "fru-F-500512", "fru-F-500413", "fru-F-500463",
"VGlut-F-600316", "VGlut-F-700597", "fru-F-300205", "fru-F-400474",
"fru-M-500330", "fru-F-400416", "fru-F-400373", "fru-F-400451",
"fru-F-800031", "VGlut-F-800295", "fru-F-400547", "fru-F-400367",
"fru-F-500442", "fru-M-400381", "fru-M-400360", "fru-M-500340",
"fru-M-400248", "VGlut-F-700530", "VGlut-F-700596", "fru-F-600030",
"VGlut-F-500389", "VGlut-F-500429", "fru-F-400230", "VGlut-F-500146",
"VGlut-F-600347", "VGlut-F-400739", "VGlut-F-600787", "fru-F-500290",
"VGlut-F-100368", "fru-M-600008", "VGlut-F-200159", "VGlut-F-200559",
"VGlut-F-500082", "VGlut-F-200565", "VGlut-F-800072", "VGlut-F-400695",
"VGlut-F-600322", "VGlut-F-500450", "VGlut-F-500413", "VGlut-F-400677",
"VGlut-F-600243", "Cha-F-700191", "VGlut-F-800071", "fru-F-500092",
"VGlut-F-700056", "fru-F-400125", "VGlut-F-100376", "VGlut-F-700289",
"fru-F-500096", "VGlut-F-700484", "VGlut-F-500420", "VGlut-F-700307",
"fru-F-500247", "fru-F-600299", "Gad1-F-400173", "VGlut-F-400290",
"fru-F-300017", "Gad1-F-100006", "Gad1-F-800180", "Gad1-F-800036",
"Gad1-F-800136", "npf-F-300045", "fru-F-600230", "fru-F-600221",
"fru-F-600245", "VGlut-F-600248", "VGlut-F-500455", "VGlut-F-700563",
"VGlut-F-100378", "VGlut-F-500609", "VGlut-F-900060", "fru-F-500503",
"fru-F-400041", "VGlut-F-600340", "Gad1-F-000432", "VGlut-F-600116",
"fru-M-000266", "fru-M-500341", "fru-M-500382", "npf-M-300046",
"npf-M-400000", "fru-M-500211", "fru-M-500214", "fru-M-400285",
"fru-M-400387", "fru-M-800032", "VGlut-F-200567", "Gad1-F-500068",
"VGlut-F-500516", "VGlut-F-900045", "VGlut-F-500424", "VGlut-F-700533",
"VGlut-F-500607", "VGlut-F-700169", "VGlut-F-500107", "VGlut-F-600208",
"fru-F-500505", "Gad1-F-000264", "npf-F-300012", "fru-F-500472",
"VGlut-F-700221", "fru-M-400388", "fru-M-300154", "Gad1-F-000235",
"Gad1-F-300015", "Gad1-F-200057", "VGlut-F-600082", "fru-F-300090",
"npf-M-400023", "npf-M-100014", "npf-M-200050", "npf-M-100017",
"npf-M-200047", "npf-M-100016", "npf-M-200045", "npf-M-200065",
"npf-M-200046", "npf-M-200055", "npf-M-200031", "npf-M-200022",
"npf-M-200032", "npf-F-200026", "VGlut-F-000055", "Cha-F-000484",
"npf-M-100004", "npf-M-200021", "npf-M-100009", "npf-M-100011",
"npf-M-100000", "npf-M-200049", "npf-M-100007", "npf-M-300047",
"npf-M-100025", "VGlut-F-000126", "npf-F-200030", "npf-M-100010",
"npf-M-200019", "Gad1-F-000167", "npf-F-300029", "npf-F-200020",
"npf-F-200029", "npf-F-200027", "npf-F-200028", "npf-F-100004",
"npf-F-300040", "Gad1-F-100134", "npf-F-200018", "npf-F-100003",
"npf-F-200022", "npf-F-100009", "npf-F-100011", "npf-F-200019",
"npf-F-200012", "npf-F-200032", "npf-F-200044", "VGlut-F-000593",
"VGlut-F-200455", "Gad1-F-200073", "npf-F-000003", "npf-F-100012",
"npf-F-200007", "npf-F-200013", "npf-F-200034", "npf-F-200003",
"npf-F-200008", "npf-M-100001", "VGlut-F-200323", "npf-F-100010",
"npf-F-000000", "npf-F-100007", "npf-F-100001", "npf-F-200001",
"npf-F-200023", "npf-F-200043", "npf-F-000001", "npf-F-300003",
"VGlut-F-000426", "npf-F-300001", "npf-F-100000", "npf-F-100008",
"npf-F-200000", "npf-F-300030", "npf-F-200031", "npf-F-100002",
"npf-F-200005", "npf-F-200041", "npf-F-200035", "npf-F-200042",
"npf-F-100006", "npf-M-300052", "npf-M-200040", "npf-M-200066",
"npf-M-100026", "npf-M-200025", "npf-M-200051", "npf-M-200054",
"npf-M-200048", "npf-M-200011", "npf-M-200042", "npf-M-100021",
"npf-M-200053", "npf-M-100027", "npf-M-200023", "npf-M-100005",
"npf-M-100018", "npf-M-100008", "npf-M-200000", "npf-M-100003",
"npf-M-100002", "npf-M-200018", "npf-M-100013", "npf-M-200057",
"VGlut-F-000066", "npf-M-100028", "VGlut-F-400658", "VGlut-F-100381",
"fru-F-800040", "VGlut-F-000656", "VGlut-F-100370", "VGlut-F-700547",
"VGlut-F-200597", "VGlut-F-400875", "VGlut-F-700275", "fru-F-400050",
"fru-F-800019", "VGlut-F-500357", "fru-F-500368", "VGlut-F-500586",
"VGlut-F-700131", "VGlut-F-700165", "fru-F-900008", "VGlut-F-700321",
"fru-F-400529", "VGlut-F-600409", "fru-M-400271", "fru-M-400377",
"Gad1-F-300392", "fru-M-200339", "Gad1-F-400401", "Gad1-F-500217",
"Gad1-F-100324", "Cha-F-500078", "Gad1-F-100146", "Gad1-F-800042",
"VGlut-F-200566", "Cha-F-100059", "fru-M-400345", "npf-M-300050",
"VGlut-F-000563", "Gad1-F-500158", "npf-M-300049", "fru-M-400042",
"fru-M-300369", "fru-M-600062", "fru-M-500169", "fru-M-700196",
"fru-M-500123", "fru-M-600215", "fru-M-700157", "fru-M-400355",
"fru-M-400292", "fru-M-400313", "fru-F-400363", "fru-F-500571",
"Gad1-F-400353", "fru-M-400130", "fru-F-600263", "fru-F-700165",
"fru-F-500466", "fru-F-400276", "Gad1-F-500298", "VGlut-F-000035",
"VGlut-F-500497", "VGlut-F-500169", "VGlut-F-500826", "VGlut-F-700539",
"npf-F-200009", "npf-M-100006", "npf-M-100012", "npf-M-200038", "Cha-F-200397",
"Cha-F-200265", "Gad1-F-300381", "fru-M-800212", "Gad1-F-000063",
"fru-F-400444", "npf-M-200059", "VGlut-F-200029",
"Gad1-F-000391", "fru-F-000183", "VGlut-F-400927", "fru-M-000325",
"Gad1-F-000090")
l.upns = c("npf-M-300032", "VGlut-F-300491", "VGlut-F-600326", "fru-F-400149",
"VGlut-F-700188", "Cha-F-500006", "VGlut-F-800329", "Gad1-F-200064",
"Gad1-F-700275", "VGlut-F-800317", "Gad1-F-600446", "VGlut-F-000280",
"VGlut-F-000655", "VGlut-F-700040", "Gad1-F-200010", "Gad1-F-500115",
"npf-M-300027", "npf-M-300035", "npf-M-300008", "npf-M-400017",
"fru-M-200319", "Gad1-F-100197", "Gad1-F-300005", "fru-M-100386",
"VGlut-F-400869", "Gad1-F-000340", "Gad1-F-200328", "Gad1-F-300322",
"fru-M-400216", "Gad1-F-300144", "Cha-F-800119", "Cha-F-000479",
"VGlut-F-700515", "Gad1-F-000103", "VGlut-F-200188", "VGlut-F-600262",
"VGlut-F-900046", "Cha-F-100085", "Gad1-F-600219", "fru-M-400327",
"fru-F-700058", "VGlut-F-300622", "VGlut-F-700132", "VGlut-F-600767",
"VGlut-F-700460", "VGlut-F-300629", "VGlut-F-300635", "VGlut-F-600492",
"VGlut-F-600772", "VGlut-F-200598", "VGlut-F-800259", "VGlut-F-500774",
"Cha-F-300415", "VGlut-F-600753", "VGlut-F-700494", "Gad1-F-400168",
"Gad1-F-600296", "fru-F-700119", "VGlut-F-400067", "Gad1-F-700150",
"fru-F-000120", "VGlut-F-600107", "npf-F-300042", "VGlut-F-400514",
"VGlut-F-400008", "VGlut-F-200267", "VGlut-F-200047", "VGlut-F-600445",
"fru-F-400468", "npf-M-200024", "npf-M-400020", "npf-M-300028",
"npf-M-300006", "npf-M-400018", "GH146-M-400001", "VGlut-F-200574",
"VGlut-F-600450", "npf-M-300041", "Gad1-F-900035", "Cha-F-300252",
"fru-M-400325", "VGlut-F-400678", "fru-F-400051", "Cha-F-300104",
"Gad1-F-000192", "fru-F-000025", "Gad1-F-400171", "fru-M-400223",
"fru-M-400380", "npf-M-300048", "npf-M-100022", "npf-F-300020",
"fru-M-600178",
"Cha-F-300238",
"VGlut-F-900120", "VGlut-F-400620", "VGlut-F-500461", "VGlut-F-200569", "VGlut-F-700463",
"npf-M-200063", "fru-M-400375", "Cha-F-800120", "Gad1-F-100269",
"Gad1-F-300329", "VGlut-F-500412", "VGlut-F-700167",
"VGlut-F-200568", "VGlut-F-400000", "VGlut-F-300596", "VGlut-F-500431",
"VGlut-F-600209", "VGlut-F-700465", "Gad1-F-300227", "Gad1-F-400346",
"VGlut-F-400794", "VGlut-F-600175", "VGlut-F-300573",
"fru-M-100396", "fru-M-100331", "npf-F-000006", "fru-F-400235", "Gad1-F-400072")
bilateral.VL1.upns = c("Gad1-F-000286","Gad1-F-700120") # GNG cell body Vl1
bilateral.VP3.upns = c("Cha-F-000250", "Gad1-F-200188") # GNG cell body VP3
# Meta Data
malt.upns = c(ad.upns,l.upns,bilateral.VL1.upns,bilateral.VP3.upns)
df[malt.upns,]$modality = "Olfactory"
df[malt.upns,]$reference = "Jefferis et al. 2007"
df[c(malt.upns,bilateral.VL1.upns,bilateral.VP3.upns),]$class = "uPN"
df[malt.upns,]$dendritic.location = "AL"
df[malt.upns,]$tract = "mALT"
df[malt.upns,]$neurotransmitter = "ACh"
df[c(ad.upns,l.upns),"anatomy.group"] = "AL-mALT-PN1"
df[c(bilateral.VL1.upns,bilateral.VP3.upns),"anatomy.group"] = "AL-mALT-PN2"
df[ad.upns,]$cell.body.position = "AD"
df[l.upns,]$cell.body.position = "L"
df[c(bilateral.VL1.upns,bilateral.VP3.upns),]$cell.body.position = "GNG"
df[c(bilateral.VL1.upns),]$glomerulus = "VL1"
df[c(bilateral.VP3.upns),]$glomerulus = "VP3"
df[c(bilateral.VP3.upns),]$modality = "Thermosensory"
df[bilateral.VP3.upns,]$reference = "Stocker et al. 1990"
###### Assign mALT mPNs ######
l.malt.mpns.pal.plp = c("VGlut-F-000463", "Cha-F-300107", "VGlut-F-700115", "Cha-F-000271",
"Cha-F-300036")
df[l.malt.mpns.pal.plp,"anatomy.group"] = "AL-mALT-PN4"
l.malt.mpns.pal = c("VGlut-F-500570", "VGlut-F-600525", "VGlut-F-700198", "VGlut-F-800095",
"VGlut-F-100367", "VGlut-F-600690", "VGlut-F-700154", "VGlut-F-600301",
"VGlut-F-600300", "VGlut-F-600783", "VGlut-F-900121", "VGlut-F-500077",
"VGlut-F-600668", "VGlut-F-700214", "VGlut-F-000485", "VGlut-F-600106",
"VGlut-F-600737", "VGlut-F-500094", "Gad1-F-300036", "VGlut-F-600641",
"Gad1-F-100061", "VGlut-F-600310", "Gad1-F-200107", "VGlut-F-700471",
"VGlut-F-800289", "VGlut-F-500786", "VGlut-F-500299", "VGlut-F-900113",
"VGlut-F-100264", "VGlut-F-700079", "VGlut-F-900112", "VGlut-F-600795",
"Cha-F-000239")
df[l.malt.mpns.pal,"anatomy.group"] = "AL-mALT-PN5"
ad.mpns.calyx = c("VGlut-F-500407", "Trh-F-000062", "VGlut-F-400407", "VGlut-F-400376",
"VGlut-F-600770", "VGlut-F-900059", "VGlut-F-300623", "fru-F-500176",
"VGlut-F-600245", "VGlut-F-800323", "VGlut-F-400434", "VGlut-F-600366",
"VGlut-F-500852", "VGlut-F-700567", "VGlut-F-500183", "VGlut-F-600253",
"VGlut-F-500471", "VGlut-F-700500", "VGlut-F-500085", "VGlut-F-600379",
"VGlut-F-700558", "VGlut-F-500667", "Cha-F-300016", "Gad1-F-500299"
) # AD cell body position. Calycal projection
ad.mpns.no.calyx = c("VGlut-F-500031", "VGlut-F-400662", "VGlut-F-300628", "Gad1-F-500312",
"fru-M-500036")
l.mpns.no.calyx = c("Cha-F-000353", "Gad1-F-000384","Cha-F-200388")
df[c(ad.mpns.calyx,ad.mpns.no.calyx,l.mpns.no.calyx),"anatomy.group"] = "AL-mALT-PN6"
l.mpns = c("fru-M-000134", "fru-M-400296", "Trh-F-600015", "VGlut-F-700476",
"VGlut-F-900120", "VGlut-F-400620", "Cha-F-800120", "Gad1-F-100269",
"Gad1-F-300329") # No Calyx Projection. V cell body location.
df[l.mpns,"anatomy.group"] = "AL-mALT-PN7"
l.mpns.claw = c("VGlut-F-500857", "VGlut-F-500358", "VGlut-F-600123", "VGlut-F-600384",
"VGlut-F-600791", "VGlut-F-600748")
df[l.mpns.claw,"anatomy.group"] = "AL-mALT-PN8"
ad.mpns.sp = c("VGlut-F-700407", "VGlut-F-400370", "VGlut-F-200354", "5HT1A-F-400030","VGlut-F-300263")
df[ad.mpns.sp,"anatomy.group"] = "AL-mALT-PN9"
l.mpns.sp = c("Cha-F-300398", "Gad1-F-100169", "Cha-F-000183", "E0585-F-200014")
df[l.mpns.sp,"anatomy.group"] = "AL-mALT-PN10"
l.gng.mpns.sp = c("Gad1-F-400282", "5HT1A-F-800014", "VGlut-F-700270")
df[l.gng.mpns.sp,"anatomy.group"] = "AL-mALT-PN11"
# Meta data
malt.mpns = c(l.malt.mpns.pal, l.malt.mpns.pal.plp, ad.mpns.calyx,ad.mpns.no.calyx,l.mpns.no.calyx,l.mpns,l.mpns.claw,ad.mpns.sp,l.mpns.sp,l.gng.mpns.sp)
df[malt.mpns,]$modality = "Olfactory"
df[l.gng.mpns.sp,]$modality = "Olfactory+Gustatory"
df[c(l.malt.mpns.pal,l.malt.mpns.pal.plp),]$modality = "Thermosensory"
df[malt.mpns,]$reference = "ASB"
df[c(l.malt.mpns.pal, l.malt.mpns.pal.plp),]$reference = "Frank et al. 2015"
df[malt.mpns,]$class = "mPN"
df[malt.mpns,]$dendritic.location = "AL"
df[l.gng.mpns.sp,]$dendritic.location = "AL.GNG"
df[malt.mpns,]$tract = "mALT"
df[malt.mpns,]$neurotransmitter = "ACh"
df[c(l.malt.mpns.pal.plp,l.malt.mpns.pal,l.mpns.no.calyx,l.mpns,l.mpns.claw,l.mpns.sp,l.gng.mpns.sp),]$cell.body.position = "L"
df[c(ad.mpns.calyx,ad.mpns.no.calyx,ad.mpns.sp),]$cell.body.position = "AD"
###### Assign mALT Neuromodulators ######
al.ca.lh.malt = c("Trh-F-600017", "Gad1-F-800089", "Gad1-F-800106")
df[al.ca.lh.malt,"anatomy.group"] = "AL-mALT-5HT1"
df[al.ca.lh.malt,]$reference = "Tanaka et al. 2012"
df[al.ca.lh.malt,]$modality = "Neuromodulatory"
df[al.ca.lh.malt,]$tract = "mALT"
df[al.ca.lh.malt,]$dendritic.location = "AL"
df[al.ca.lh.malt,]$neurotransmitter = "5HT"
df[al.ca.lh.malt,]$cell.body.position = "L"
al.gng.ca.lh.malt = c("Tdc2-F-000007", "Tdc2-F-400026")
df[al.gng.ca.lh.malt,"anatomy.group"] = "AL.GNG-OA-VUMa2"
df[al.gng.ca.lh.malt,]$reference = "Busch et al. 2009"
df[al.gng.ca.lh.malt,]$modality = "Neuromodulatory"
df[al.gng.ca.lh.malt,]$tract = "mALT"
df[al.gng.ca.lh.malt,]$dendritic.location = "Eosophagus"
df[al.gng.ca.lh.malt,]$neurotransmitter = "Oct"
df[al.gng.ca.lh.malt,]$cell.body.position = "GNG"
###### Assign mlALT PNs ######
mlalt.upns = c("Gad1-F-500077", "VGlut-F-400917", "VGlut-F-800247", "fru-F-300036",
"5-HT1B-M-300003", "Gad1-F-400088","fru-F-500420", "Gad1-F-000185", "Cha-F-500249", "Gad1-F-200451")
df[mlalt.upns,"anatomy.group"] = "AL-mlALT-PN1"
mlalt.mpns = c("VGlut-F-300636", "VGlut-F-700218", "VGlut-F-400167", "VGlut-F-600556",
"VGlut-F-400263", "VGlut-F-700473", "Trh-F-600066", "VGlut-F-500817",
"Trh-F-600007", "VGlut-F-700076", "VGlut-F-400225", "VGlut-F-500114",
"VGlut-F-700559", "VGlut-F-700420", "fru-F-700180", "Trh-F-900010",
"VGlut-F-700523", "VGlut-F-900124", "fru-F-500222", "fru-F-700150",
"VGlut-F-400165", "VGlut-F-300532", "Trh-F-600014", "Trh-F-600084",
"VGlut-F-200517", "VGlut-F-800270", "Trh-F-600095", "Trh-F-000032",
"VGlut-F-600669", "VGlut-F-300274", "Trh-F-600092", "Trh-F-500004",
"VGlut-F-400178", "VGlut-F-700022", "Trh-F-500077", "VGlut-F-500824",
"Trh-F-500152", "Trh-F-600108", "VGlut-F-700410", "VGlut-F-500848",
"Trh-F-500046", "VGlut-F-600023", "fru-F-600120", "VGlut-F-600757",
"Trh-F-500059", "VGlut-F-200315", "VGlut-F-500761", "Trh-F-500199",
"VGlut-F-400172", "VGlut-F-500205", "Trh-F-500049", "Trh-F-300080",
"Trh-F-500061", "Trh-F-600072", "Trh-F-800002", "Trh-F-600104",
"Trh-F-900031", "VGlut-F-500787", "Trh-F-700019", "VGlut-F-700569",
"VGlut-F-700428", "Trh-M-900023", "Trh-M-600114", "fru-M-400109",
"Trh-M-700027", "Trh-M-700084", "Trh-M-500061", "Trh-M-400028",
"fru-M-400087", "Trh-M-500165", "Trh-M-600062", "Trh-M-900035",
"fru-M-800089", "fru-M-300273", "fru-M-800076", "fru-M-000089",
"Trh-M-600105", "Trh-F-600090", "Trh-M-600014", "Trh-M-900034",
"Trh-M-500007", "Trh-M-700005", "Trh-M-600032", "Trh-M-500053",
"Trh-M-400043", "Trh-M-500005", "VGlut-F-100246", "Trh-F-500114",
"Trh-F-600077", "VGlut-F-500687", "fru-F-500211", "Trh-M-600013",
"Trh-M-900012", "Cha-F-000093", "GH146-M-300000", "Gad1-F-500088",
"Trh-F-400014", "VGlut-F-400096", "VGlut-F-500230", "VGlut-F-500473",
"VGlut-F-500829", "Trh-F-400030", "VGlut-F-600060", "VGlut-F-200571",
"VGlut-F-700514", "Gad1-F-300091", "VGlut-F-400634", "VGlut-F-800128",
"VGlut-F-800257", "VGlut-F-700243", "VGlut-F-500199", "Gad1-F-900027",
"VGlut-F-800284", "VGlut-F-700501", "GH146-M-300001", "VGlut-F-500300",
"VGlut-F-500721", "VGlut-F-500092", "VGlut-F-000575", "VGlut-F-500809",
"VGlut-F-700552", "VGlut-F-800290", "VGlut-F-400086", "VGlut-F-700269",
"Trh-M-400074", "Trh-M-600076", "Trh-M-700024", "Trh-M-500106",
"Trh-M-400040", "Trh-M-500043", "Trh-M-700025", "Trh-M-500018",
"Trh-M-700069", "Trh-M-500146", "Trh-M-400082", "Trh-M-500094",
"Trh-M-500180", "Trh-M-700009", "Trh-M-700058", "Trh-F-700038",
"Trh-F-400067", "Trh-F-700032", "Trh-F-500211", "VGlut-F-400151",
"Trh-F-400000", "Trh-F-500135", "VGlut-F-300627", "Trh-F-500220",
"Trh-F-700021", "VGlut-F-500039", "Trh-F-500200", "VGlut-F-500038",
"VGlut-F-800276", "Trh-F-700034", "Trh-F-500213", "VGlut-F-400408",
"Trh-F-500217", "VGlut-F-400111", "VGlut-F-700044", "VGlut-F-600691",
"Trh-F-500124", "Trh-F-500036", "Trh-F-500027", "Trh-F-600011",
"Trh-F-700035", "VGlut-F-500197","5HT1A-M-300002", "Gad1-F-100151", "Gad1-F-700193", "Gad1-F-300166",
"Gad1-F-700238", "Gad1-F-500168", "Gad1-F-600191", "VGlut-F-600553",
"VGlut-F-700267", "fru-F-500439", "Gad1-F-400339", "fru-M-100354",
"fru-M-700209", "fru-M-700289", "fru-M-000258", "fru-M-600160",
"fru-M-600175", "fru-M-600150", "fru-M-100310", "fru-M-800120",
"fru-M-800128", "fru-M-400267", "fru-M-500395", "fru-F-800076",
"Cha-F-100467", "fru-F-400442", "Gad1-F-000163", "Gad1-F-200348",
"Gad1-F-100111", "Gad1-F-800133", "5HT1A-F-400013", "Gad1-F-300324",
"Gad1-F-400219", "Gad1-F-300281", "Gad1-F-400395", "VGlut-F-400720",
"Gad1-F-300249", "Gad1-F-700134", "Gad1-F-100234", "5HT1A-M-600017",
"Gad1-F-500128", "Gad1-F-900162", "Gad1-F-000395", "VGlut-F-500551",
"fru-M-600148", "fru-F-500485", "fru-F-500412", "Gad1-F-600294",
"5HT1A-F-600006", "fru-F-600185", "Gad1-F-400314","Cha-F-300458","Gad1-F-900093",
"5HT1A-M-600015", "VGlut-F-300564","Gad1-F-300382")
df[mlalt.mpns,"anatomy.group"] = "AL-mlALT-PN2"
al.mlpn3 = c("GH146-M-000001", "GH146-F-300000", "GH146-M-400000")
df[al.mlpn3,"anatomy.group"] = "AL-mlALT-PN3"
# Meta data
mlalt.mpns = c(mlalt.upns,mlalt.mpns,al.mlpn3)
df[mlalt.mpns,]$modality = "Olfactory"
df[mlalt.mpns,]$reference = "Strutz et al. 2014"
df[mlalt.mpns,]$class = "mPN"
df[mlalt.upns,]$class = "uPN"
df[mlalt.mpns,]$dendritic.location = "AL"
df[mlalt.mpns,]$cell.body.position = "V"
df[mlalt.mpns,]$tract = "mlALT"
df[mlalt.mpns,]$neurotransmitter = "GABA"
###### Assign lALT PNs ######
lalt.uni = "Gad1-F-200095" #V
df[lalt.uni,"anatomy.group"] = "AL-lALT-PN1"
df[lalt.uni,"glomerulus"] = "V"
lalt.mpns2 = c("Trh-M-000170", "Trh-M-000008", "Trh-M-000070", "VGlut-F-100003",
"Trh-M-000172", "Trh-M-100037", "Trh-F-000043", "Trh-F-000041",
"VGlut-F-000430", "VGlut-F-000624", "Trh-F-100037", "Trh-F-100038",
"Trh-F-000008", "Trh-F-000009", "Trh-F-100032", "VGlut-F-000259",
"VGlut-F-000370", "Gad1-F-000431", "VGlut-F-100272", "VGlut-F-100184",
"5HT1A-F-100004", "5HT1A-F-100032", "Cha-F-500056", "Gad1-F-200299")
df[lalt.mpns2,"anatomy.group"] = "AL-lALT-PN2"
lalt.mpns3 = c("Cha-F-900038","L2444#1")
df[lalt.mpns3,"anatomy.group"] = "AL-lALT-PN3"
lalt.mpns5 = c("Trh-M-200074", "Gad1-F-400223", "fru-M-200462", "Cha-F-500003",
"Gad1-F-200342", "fru-F-000086", "fru-F-000197", "GH146-M-000000",
"Gad1-F-400131", "fru-M-000094", "fru-M-400192")
df[lalt.mpns5,"anatomy.group"] = "AL-lALT-PN5"
from.contra.lalt = c("Trh-M-000103", "Trh-M-200128",
"Trh-M-100007", "Trh-M-100003", "Trh-M-100095")
df[from.contra.lalt,"anatomy.group"] = "AL-lALT-PN6"
from.contra.ipsi.lalt = c("VGlut-F-200051", "VGlut-F-200077")
df[from.contra.ipsi.lalt,"anatomy.group"] = "AL-lALT-PN7"
# Meta data
lalt.pns = c(lalt.uni,lalt.mpns2,lalt.mpns3,lalt.mpns5,from.contra.lalt,from.contra.ipsi.lalt)
df[lalt.pns,]$modality = "Olfactory"
df[lalt.mpns5,]$modality = "Thermosensory"
df[lalt.pns,]$reference = "Tanaka et al. 2012"
df[lalt.mpns5,]$reference = "Frank et al. 2015"
df[lalt.pns,]$class = "mPN"
df[c(lalt.uni,lalt.mpns5),]$class = "uPN"
df[lalt.pns,]$dendritic.location = "AL"
df[lalt.pns,]$cell.body.position = "L"
df[lalt.pns,]$tract = "lALT"
df[lalt.pns,]$neurotransmitter = "ACh"
df[lalt.uni,]$glomerulus = "V"
df[lalt.uni,]$reference = "Lin et al. 2015"
###### Assign tALT PNs ######
v.glom.upns = c("fru-M-000035", "VGlut-F-200269") # last two are V. tALT?
df[v.glom.upns,"anatomy.group"] = "AL-t1ALT-PN1"
talt.mpns = c("Cha-F-300207", "Cha-F-300191", "VGlut-F-100267", "VGlut-F-000276" ,"VGlut-F-100102")
df[talt.mpns,"anatomy.group"] = "AL-t3ALT-PN2"
talt.sp = ("VGlut-F-000189")
df[talt.sp,"anatomy.group"] = "AL-t3ALT-PN3"
talt.pn4 = c("VGlut-F-300085", "VGlut-F-300235", "VGlut-F-300555", "VGlut-F-300575",
"VGlut-F-500322", "VGlut-F-200386", "VGlut-F-300327")
df[talt.pn4,"anatomy.group"] = "AL-t3ALT-PN4"
# Meta data
talt.pns = c(v.glom.upns,talt.mpns,talt.sp,talt.pn4)
df[talt.pns,]$modality = "Olfactory"
df[talt.mpns,]$modality = "Thermosensory"
df[talt.pns,]$reference = "ASB"
df[c(v.glom.upns),]$reference = "Tanaka et al. 2012"
df[talt.pns,]$class = "mPN"
df[talt.pns,]$dendritic.location = "AL"
df[talt.pns,]$cell.body.position = "L"
df[talt.pn4,]$cell.body.position = "AD"
df[talt.pns,]$tract = "t3ALT"
df[talt.pns,]$tract = "tALT"
df[talt.pns,]$neurotransmitter = "ACh"
df[talt.mpns,]$modality = "Thermosensory"
df[c(v.glom.upns),]$glomerulus = "V"
df[c(v.glom.upns),]$reference = "Lin et al. 2015"
###### Assign Gustatory PNs ######
gust.malt = c("5HT1A-F-400025", "5HT1A-F-800022")
df[gust.malt,"anatomy.group"] = "GNG-mALT-PN1"
gust.lalt = c("fru-F-000219","fru-M-300287","fru-M-300451","fru-M-800005","fru-M-100062","fru-M-800155", "fru-M-600165","fru-M-200364")
df[gust.lalt,"anatomy.group"] = "GNG-lALT-PN1"
gusts.talt = c("Cha-F-400018","VGlut-F-300341","VGlut-F-000295","VGlut-F-500260","VGlut-F-100128")
df[gusts.talt,"anatomy.group"] = "GNG-t3ALT-PN1"
gusts.central = c("fru-M-300314")
df[gusts.central,"anatomy.group"] = "GNG-Central-PN1"
mAL = c("fru-F-600207","Gad1-F-600213","Gad1-F-400450","fru-M-600142","fru-M-700040","fru-M-000273","fru-M-500159","fru-M-400140","fru-M-500247","fru-M-000152")
df[mAL,"anatomy.group"] = "mAL-PN"
# Meta data
gusts = c(gust.malt,gust.lalt,lalt.mpns3,gusts.talt,gusts.central,mAL)
df[gusts,]$modality = "Gustatory"
df[gusts,]$reference = "ASB"
df[gusts,]$dendritic.location = "AL"
df[gusts,]$cell.body.position = "L"
df[gust.malt,]$tract = "mALT"
df[gust.lalt,]$tract = "lALT"
df[gusts.talt,]$tract = "t3ALT"
df[gusts.central,]$tract = "Central"
df[mAL,]$tract = "mAL"
df[gusts,]$neurotransmitter = "ACh"
df[mAL,]$neurotransmitter = "GABA"
df[mAL,]$reference ="Kimura et al. 2010"
###### Assign Other LH inputs ######
###
wedge.pn.1 = c("VGlut-F-600117", "Gad1-F-100133", "VGlut-F-500810",
"VGlut-F-100375", "fru-M-300059","L984#7", "L770#1", "L770#2", "L984#9", "L984#8", "L112#4",
"L984#1", "L984#2", "L984#3", "L112#1", "L984#5", "L112#2", "L112#3",
"L984#4", "L772#2", "L772#1", "L984#6") # 70C
df[wedge.pn.1,"anatomy.group"] = "WED-PN1"
df[wedge.pn.1,]$modality = "Mechanosensation"
df[wedge.pn.1,]$reference = "Dolan et al. 2018"
df[wedge.pn.1,]$dendritic.location = "WED"
df[wedge.pn.1,]$cell.body.position = "WED"
df[wedge.pn.1,]$tract = "WEDT"
df[wedge.pn.1,]$neurotransmitter = "GABA"
wedge.pn.2 = c("Cha-F-000514", "Cha-F-600036","L1524#2", "L1524#3", "L1524#1", "L1524#4") # 70D
df[wedge.pn.2,"anatomy.group"] = "WED-PN2"
df[wedge.pn.2,]$modality = "Mechanosensation"
df[wedge.pn.2,]$reference = "Dolan et al. 2018"
df[wedge.pn.2,]$dendritic.location = "WED"
df[wedge.pn.2,]$cell.body.position = "WED"
df[wedge.pn.2,]$tract = "WEDT"
df[wedge.pn.2,]$neurotransmitter = "ChA, GABA"
wedge.pn.3 = c("L452#3", "L1668#4", "L452#1", "L1518#1", "L1518#4", "L1949#1",
"L1949#3", "L1668#3", "L1668#2", "L1518#3", "L1518#5", "L1518#2",
"L1668#1", "L452#2","L1949#2") # 70A
df[wedge.pn.3,"anatomy.group"] = "WED-PN3"
df[wedge.pn.3,]$modality = "Mechanosensation"
df[wedge.pn.3,]$reference = "Dolan et al. 2018"
df[wedge.pn.3,]$dendritic.location = "WED"
df[wedge.pn.3,]$cell.body.position = "WED"
df[wedge.pn.3,]$tract = "WEDT"
df[wedge.pn.3,]$neurotransmitter = "GABA"
df[wedge.pn.3,]$type = "IN/ON"
wedge.pn.5 = c("L1337#4", "L1337#7", "L1337#3", "L1337#5", "L1337#2", "L1337#8",
"L1337#1", "L1337#6") # 70B
df[wedge.pn.5,"anatomy.group"] = "WED-PN5"
df[wedge.pn.5,]$modality = "Mechanosensation"
df[wedge.pn.5,]$reference = "Dolan et al. 2018"
df[wedge.pn.5,]$dendritic.location = "WED"
df[wedge.pn.5,]$cell.body.position = "WED"
df[wedge.pn.5,]$tract = "WEDT"
df[wedge.pn.5,]$neurotransmitter = "ChA, GABA"
###
mbonap3 = c("Gad1-F-700088", "E0585-F-200005", "Gad1-F-400293", "Cha-F-800086")
mbonap2ap3 = c("Gad1-F-400259","E0585-F-200015","E0585-F-300042")
mbonap= c(mbonap3,mbonap2ap3)
df[mbonap2ap3,"anatomy.group"] = "MBON-a'2-a'3"
df[mbonap3,"anatomy.group"] = "MBON-a'2-a'3"
df[mbonap,"anatomy.group"] = "MBON-a'"
df[mbonap,]$modality = "Memory"
df[mbonap,]$reference = "ASB"
df[mbonap3,]$reference = "Aso et al. 2014"
df[mbonap,]$dendritic.location = "MB"
df[mbonap,]$cell.body.position = "SP"
df[mbonap,]$tract = "From_MB"
df[mbonap,]$neurotransmitter = "ACh"
mbons = c(mbonap3,mbonap2ap3)
###
centrifugal = c("VGlut-F-200116","Gad1-F-700066", "Cha-F-000310")
df[centrifugal,"anatomy.group"] = "Centrifugal"
df[centrifugal,]$modality = "Centrifugal"
df[centrifugal,]$reference = "ASB"
df[centrifugal,]$dendritic.location = "SP"
df[centrifugal,]$cell.body.position = "SP"
df[centrifugal,]$tract = "Centrifugal"
df[centrifugal,]$neurotransmitter = "Unknown"
###
lp.pns = c("Trh-M-500187", "Trh-M-500155", "Trh-M-500142", "Trh-M-500078",
"Trh-M-400020", "fru-M-000075", "Trh-M-500144", "Trh-F-500222",
"Trh-M-500183")
df[lp.pns,"anatomy.group"] = "AVLP-PN1"
df[lp.pns,]$modality = "Unknown"
df[lp.pns,]$reference = "ASB"
df[lp.pns,]$dendritic.location = "PV2"
df[lp.pns,]$cell.body.position = "PLP/AVLP/PVLP/WED"
df[lp.pns,]$tract = "LPT"
df[lp.pns,]$neurotransmitter = "Unknown"
wed.pn.6 = c("Cha-F-000086","L85#1", "L85#2", "L85#3", "L85#4", "L85#5")
df[wed.pn.6,"anatomy.group"] = "WED-PN6"
df[wed.pn.6,]$modality = "Unknown"
df[wed.pn.6,]$reference = "ASB"
df[wed.pn.6,]$dendritic.location = "PV2"
df[wed.pn.6,]$cell.body.position = "LH"
df[wed.pn.6,]$tract = "LPT"
df[wed.pn.6,]$neurotransmitter = "Unknown"
###
unknowns = c("fru-M-300418", "fru-M-800154", "TH-M-100006", "TH-M-000001",
"TH-M-100010", "fru-M-700238", "TH-M-300030", "TH-M-100000",
"fru-M-500333", "fru-M-200392", "TH-M-100083", "TH-M-000063",
"TH-M-000064", "TH-M-200055", "TH-M-100005", "TH-M-300036", "TH-F-200113",
"TH-M-100021", "TH-M-200011", "TH-M-800000", "TH-M-100080", "TH-M-200053",
"TH-M-200025", "TH-M-200047", "TH-F-000005", "TH-F-300048", "TH-F-000007",
"TH-F-100061", "TH-F-000098", "TH-F-500002", "TH-F-000102", "TH-F-200129",
"TH-F-000066", "TH-F-000081", "fru-F-400501", "TH-F-300015",
"TH-F-100097", "fru-M-400054", "fru-M-100262", "fru-F-700132",
"VGlut-F-100132", "VGlut-F-800203", "VGlut-F-100147", "VGlut-F-400519",
"fru-F-100083", "VGlut-F-000200", "TH-F-000086", "TH-F-100101",
"TH-F-100111", "TH-F-000095", "TH-F-100105", "TH-F-100108", "TH-F-200018",
"TH-F-100103", "TH-M-300008", "TH-F-100047", "TH-F-000062", "TH-M-100041",
"TH-F-200011", "TH-F-100073", "TH-F-000104", "TH-F-000067", "TH-F-000076",
"TH-F-100090", "TH-F-100045", "TH-F-300004", "TH-F-100065", "TH-F-200025",
"TH-F-000003", "TH-F-000044", "TH-F-000096", "TH-F-200035", "TH-F-100037",
"TH-F-200019", "TH-M-100008", "TH-F-300006", "TH-F-100003", "TH-M-000059",
"TH-M-500002", "TH-M-100058", "TH-M-000024", "TH-M-000000", "TH-M-200056",
"TH-M-100071", "TH-M-300041", "TH-M-200036", "TH-M-500001", "TH-M-000065",
"TH-M-100003", "TH-M-000031", "TH-M-400002", "TH-M-100012", "TH-M-000002",
"TH-M-100033", "TH-M-000069", "TH-M-200062", "TH-M-300020", "fru-F-500552",
"fru-M-800167", "fru-M-100135", "fru-M-200484", "fru-M-600171",
"fru-M-100392", "fru-M-200422", "fru-M-400364", "fru-M-200246",
"fru-M-600093")
df[unknowns,"anatomy.group"] = "Expansive-Putative"
df[unknowns,]$modality = "Unknown"
df[unknowns,]$reference = "ASB"
df[unknowns,]$dendritic.location = "Uncertain"
df[unknowns,]$cell.body.position = "PD6"
df[unknowns,]$tract = "Uncertain"
df[unknowns,]$neurotransmitter = "Unknown"
###### Dopaminergic input ######
dope = c("Gad1-F-500004","TH-M-200079","TH-M-300048","TH-M-000042","TH-M-200033","TH-M-200035",
"MB583B#1","MB583B#2","MB583B#3")
df[dope,"anatomy.group"] = "PPL2ab-PN1"
df[dope,]$modality = "Neuromodulatory"
df[dope,]$reference = "ASB"
df[dope,]$dendritic.location = "PV1"
df[dope,]$cell.body.position = "PV1"
df[dope,]$tract = "Uncertain"
df[dope,]$neurotransmitter = "Dopamine"
###### Assign not proper LH input ######
notLHPNproper = c("VGlut-F-300371","fru-M-300137","fru-M-600016","fru-M-000092", "fru-M-400395", "npf-F-000009","Gad1-F-200162","Cha-F-900049","Cha-F-000324","Gad1-F-500304","Gad1-F-500108",
"fru-F-100103","Gad1-F-100227","fru-M-900056","TH-F-100094","fru-F-200195","fru-M-400235","Gad1-F-800188","fru-M-300291","Gad1-F-600120",
"fru-M-500164", "Trh-M-200073", "Cha-F-700234", "Gad1-F-500259","npf-M-400021","VGlut-F-000488","VGlut-F-300369","GH146-M-400001","VGlut-F-000344","VGlut-F-000547") #Some suspected developmental wiring errors
df[notLHPNproper,"anatomy.group"] = "notLHproper"
df[notLHPNproper,]$modality = "Unknown"
df[notLHPNproper,]$reference = "ASB"
df[notLHPNproper,]$dendritic.location = "Uncertain"
df[notLHPNproper,]$cell.body.position = "PD6"
df[notLHPNproper,]$tract = "Uncertain"
df[notLHPNproper,]$neurotransmitter = "Unknown"
###### Generate new object ######
df$anatomy.group = factor(df$anatomy.group,levels = sort(unique(df$anatomy.group)))
df$cell.type = df$anatomy.group
df[mbons,"type"] = "MBON"
df$skeleton.type = "FlyCircuit"
df[names(lhin.mcfo),"skeleton.type"] = "MCFO"
df$id = rownames(df)
most.lhins = lh.inputs
attr(most.lhins,"df") = df
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