TY - JOUR
T1 - NeuroLINCS Proteomics
T2 - Defining human-derived iPSC proteomes and protein signatures of pluripotency
AU - NIH NeuroLINCS Consortium
AU - Matlock, Andrea D.
AU - Vaibhav, Vineet
AU - Holewinski, Ronald
AU - Venkatraman, Vidya
AU - Dardov, Victoria
AU - Manalo, Danica Mae
AU - Shelley, Brandon
AU - Ornelas, Loren
AU - Banuelos, Maria
AU - Mandefro, Berhan
AU - Escalante-Chong, Renan
AU - Li, Jonathan
AU - Finkbeiner, Steve
AU - Fraenkel, Ernest
AU - Rothstein, Jeffrey
AU - Thompson, Leslie
AU - Sareen, Dhruv
AU - Svendsen, Clive N.
AU - Van Eyk, Jennifer E.
AU - Ho, Ritchie
AU - Wassie, Brook
AU - Patel-Murray, Natasha
AU - Milani, Pamela
AU - Adam, Miriam
AU - Sachs, Karen
AU - Lenail, Alex
AU - Ramamoorthy, Divya
AU - Daigle, Gavin
AU - Hussain, Uzma
AU - Kaye, Julia
AU - Lima, Leandro
AU - Kalra, Jaslin
AU - Coyne, Alyssa
AU - Lim, Ryan G.
AU - Wu, Jie
AU - Stocksdale, Jennifer
AU - Thompson, Terri G.
AU - Van Eyk, Jennifer
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - The National Institute of Health (NIH) Library of integrated network-based cellular signatures (LINCS) program is premised on the generation of a publicly available data resource of cell-based biochemical responses or “signatures” to genetic or environmental perturbations. NeuroLINCS uses human inducible pluripotent stem cells (hiPSCs), derived from patients and healthy controls, and differentiated into motor neuron cell cultures. This multi-laboratory effort strives to establish i) robust multi-omic workflows for hiPSC and differentiated neuronal cultures, ii) public annotated data sets and iii) relevant and targetable biological pathways of spinal muscular atrophy (SMA) and amyotrophic lateral sclerosis (ALS). Here, we focus on the proteomics and the quality of the developed workflow of hiPSC lines from 6 individuals, though epigenomics and transcriptomics data are also publicly available. Known and commonly used markers representing 73 proteins were reproducibly quantified with consistent expression levels across all hiPSC lines. Data quality assessments, data levels and metadata of all 6 genetically diverse human iPSCs analysed by DIA-MS are parsable and available as a high-quality resource to the public.
AB - The National Institute of Health (NIH) Library of integrated network-based cellular signatures (LINCS) program is premised on the generation of a publicly available data resource of cell-based biochemical responses or “signatures” to genetic or environmental perturbations. NeuroLINCS uses human inducible pluripotent stem cells (hiPSCs), derived from patients and healthy controls, and differentiated into motor neuron cell cultures. This multi-laboratory effort strives to establish i) robust multi-omic workflows for hiPSC and differentiated neuronal cultures, ii) public annotated data sets and iii) relevant and targetable biological pathways of spinal muscular atrophy (SMA) and amyotrophic lateral sclerosis (ALS). Here, we focus on the proteomics and the quality of the developed workflow of hiPSC lines from 6 individuals, though epigenomics and transcriptomics data are also publicly available. Known and commonly used markers representing 73 proteins were reproducibly quantified with consistent expression levels across all hiPSC lines. Data quality assessments, data levels and metadata of all 6 genetically diverse human iPSCs analysed by DIA-MS are parsable and available as a high-quality resource to the public.
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U2 - 10.1038/s41597-022-01687-7
DO - 10.1038/s41597-022-01687-7
M3 - Article
C2 - 36631473
AN - SCOPUS:85146140820
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 24
ER -