R/zhu2018NC_hela.R

In UCLouvain-CBIO/scpdata: Single-Cell Proteomics Data Package

##' Zhu et al. 2018 (Nat. Comm.): HeLa titration
##'
##' Near single-cell proteomics data of HeLa samples containing
##' different number of cells. There are three groups of cell
##' concentrations: low (10-14 cells), medium (35-45 cells) and high
##' (137-141 cells). The data also contain measures for blanks, HeLa
##' lysates (50 cell equivalent) and 2 cancer cell line lysates (MCF7
##' and THP1, 50 cell equivalent).
##'
##' @format A [QFeatures] object with 4 assays, each assay being a
##' [SingleCellExperiment] object:
##'
##' - `peptides`: quantitative information for 37,795 peptides from
##'   21 samples
##' - `proteins_intensity`: protein intensities for 3,984 proteins
##'   from 21 samples
##' - `proteins_LFQ`: LFQ intensities for 3,984 proteins from 21
##'   samples
##' - `proteins_iBAQ`: iBAQ values for 3,984 proteins from 21 samples
##'
##' Sample annotation is stored in `colData(zhu2018NC_hela())`.
##'
##' @section Acquisition protocol:
##'
##' The data were acquired using the following setup. More information
##' can be found in the original article (see `References`).
##'
##' - **Cell isolation**: HeLa cell concentration was adjusted by
##'   serial dilution and cell counting was performed manually using
##'   an inverted microscope.
##' - **Sample preparation** performed using the nanoPOTs device.
##'   Protein extraction using RapiGest (+ DTT) + alkylation (IAA) +
##'   Lys-C digestion + cleave RapiGest (formic acid).
##' - **Separation**: nanoACQUITY UPLC pump (60nL/min) with an
##'   Self-Pack PicoFrit 70cm x 30um LC columns.
##' - **Ionization**: ESI (1,900V).
##' - **Mass spectrometry**: Thermo Fisher Orbitrap Fusion Lumos
##'   Tribrid. MS1 settings: accumulation time = 246ms; resolution =
##'   120,000; AGC = 1E6. MS/MS settings, depend on the sample size,
##'   excepted for the AGC = 1E5. Blank and approx. 10 cells (time = 502ms;
##'   resolution = 240,000), approx. 40 cells (time = 246ms; resolution =
##'   120,000), approx. 140 cells (time = 118ms; resolution = 60,000).
##' - **Data analysis**: MaxQuant (v1.5.3.30) + Perseus + OriginLab
##'   2017
##'
##' @section Data collection:
##'
##' The data were collected from the PRIDE repository (accession
##' ID: PXD006847).  We downloaded the `CulturedCells_peptides.txt`
##' and the `CulturedCells_proteinGroups.txt` files containing the
##' combined identification and quantification
##' results. The sample annotations were inferred from the names of
##' columns holding the quantification data and the information in the
##' article. The peptides data were converted to a [SingleCellExperiment]
##' object. We split the protein table to separate the three types of
##' quantification: protein intensity, label-free quantitification
##' (LFQ) and intensity based absolute quantification (iBAQ). Each
##' table is converted to a [SingleCellExperiment] object along with
##' the remaining protein annotations. The 4 objects are combined in
##' a single [QFeatures] object and feature links are created based on
##' the peptide leading razor protein ID and the protein ID.
##'
##' @source
##' The PSM data can be downloaded from the PRIDE repository
##' PXD006847. FTP link:
##' ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2018/01/PXD006847
##'
##' @references
##'
##' Zhu, Ying, Paul D. Piehowski, Rui Zhao, Jing Chen, Yufeng Shen,
##' Ronald J. Moore, Anil K. Shukla, et al. 2018. “Nanodroplet
##' Processing Platform for Deep and Quantitative Proteome Profiling
##' of 10-100 Mammalian Cells.” Nature Communications 9 (1): 882
##' ([link to article](http://dx.doi.org/10.1038/s41467-018-03367-w)).
##'
##' @seealso The same experiment was conducted on HeLa lysates:
##' [zhu2018NC_lysates].
##'
##' @examples
##' \donttest{
##' zhu2018NC_hela()
##' }
##'
##' @keywords datasets
##'
"zhu2018NC_hela"