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NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency
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 indu...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834231/ https://www.ncbi.nlm.nih.gov/pubmed/36631473 http://dx.doi.org/10.1038/s41597-022-01687-7 |
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author | Matlock, Andrea D. Vaibhav, Vineet Holewinski, Ronald Venkatraman, Vidya Dardov, Victoria Manalo, Danica-Mae Shelley, Brandon Ornelas, Loren Banuelos, Maria Mandefro, Berhan Escalante-Chong, Renan Li, Jonathan Finkbeiner, Steve Fraenkel, Ernest Rothstein, Jeffrey Thompson, Leslie Sareen, Dhruv Svendsen, Clive N. Van Eyk, Jennifer E. |
author_facet | Matlock, Andrea D. Vaibhav, Vineet Holewinski, Ronald Venkatraman, Vidya Dardov, Victoria Manalo, Danica-Mae Shelley, Brandon Ornelas, Loren Banuelos, Maria Mandefro, Berhan Escalante-Chong, Renan Li, Jonathan Finkbeiner, Steve Fraenkel, Ernest Rothstein, Jeffrey Thompson, Leslie Sareen, Dhruv Svendsen, Clive N. Van Eyk, Jennifer E. |
author_sort | Matlock, Andrea D. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9834231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98342312023-01-13 NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency Matlock, Andrea D. Vaibhav, Vineet Holewinski, Ronald Venkatraman, Vidya Dardov, Victoria Manalo, Danica-Mae Shelley, Brandon Ornelas, Loren Banuelos, Maria Mandefro, Berhan Escalante-Chong, Renan Li, Jonathan Finkbeiner, Steve Fraenkel, Ernest Rothstein, Jeffrey Thompson, Leslie Sareen, Dhruv Svendsen, Clive N. Van Eyk, Jennifer E. Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-01-11 /pmc/articles/PMC9834231/ /pubmed/36631473 http://dx.doi.org/10.1038/s41597-022-01687-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Matlock, Andrea D. Vaibhav, Vineet Holewinski, Ronald Venkatraman, Vidya Dardov, Victoria Manalo, Danica-Mae Shelley, Brandon Ornelas, Loren Banuelos, Maria Mandefro, Berhan Escalante-Chong, Renan Li, Jonathan Finkbeiner, Steve Fraenkel, Ernest Rothstein, Jeffrey Thompson, Leslie Sareen, Dhruv Svendsen, Clive N. Van Eyk, Jennifer E. NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency |
title | NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency |
title_full | NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency |
title_fullStr | NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency |
title_full_unstemmed | NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency |
title_short | NeuroLINCS Proteomics: Defining human-derived iPSC proteomes and protein signatures of pluripotency |
title_sort | neurolincs proteomics: defining human-derived ipsc proteomes and protein signatures of pluripotency |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834231/ https://www.ncbi.nlm.nih.gov/pubmed/36631473 http://dx.doi.org/10.1038/s41597-022-01687-7 |
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