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Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells
In life-science research isogenic B-lymphoblastoid cell lines (LCLs) are widely known and preferred for their genetic stability – they are often used for studying mutations for example, where genetic stability is crucial. We have shown previously that phenotypic variability can be observed in isogen...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741606/ https://www.ncbi.nlm.nih.gov/pubmed/36496436 http://dx.doi.org/10.1038/s41597-022-01871-9 |
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author | Laczik, Miklós Erdős, Edina Ozgyin, Lilla Hevessy, Zsuzsanna Csősz, Éva Kalló, Gergő Nagy, Tibor Barta, Endre Póliska, Szilárd Szatmári, István Bálint, Bálint László |
author_facet | Laczik, Miklós Erdős, Edina Ozgyin, Lilla Hevessy, Zsuzsanna Csősz, Éva Kalló, Gergő Nagy, Tibor Barta, Endre Póliska, Szilárd Szatmári, István Bálint, Bálint László |
author_sort | Laczik, Miklós |
collection | PubMed |
description | In life-science research isogenic B-lymphoblastoid cell lines (LCLs) are widely known and preferred for their genetic stability – they are often used for studying mutations for example, where genetic stability is crucial. We have shown previously that phenotypic variability can be observed in isogenic B-lymphoblastoid cell lines. Isogenic LCLs present well-defined phenotypic differences on various levels, for example on the gene expression level or the chromatin level. Based on our investigations, the phenotypic variability of the isogenic LCLs is accompanied by certain genetic variation too. We have developed a compendium of LCL datasets that present the phenotypic and genetic variability of five isogenic LCLs from a multiomic perspective. In this paper, we present additional datasets generated with Next Generation Sequencing techniques to provide genomic and transcriptomic profiles (WGS, RNA-seq, single cell RNA-seq), protein-DNA interactions (ChIP-seq), together with mass spectrometry and flow cytometry datasets to monitor the changes in the proteome. We are sharing these datasets with the scientific community according to the FAIR principles for further investigations. |
format | Online Article Text |
id | pubmed-9741606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97416062022-12-12 Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells Laczik, Miklós Erdős, Edina Ozgyin, Lilla Hevessy, Zsuzsanna Csősz, Éva Kalló, Gergő Nagy, Tibor Barta, Endre Póliska, Szilárd Szatmári, István Bálint, Bálint László Sci Data Data Descriptor In life-science research isogenic B-lymphoblastoid cell lines (LCLs) are widely known and preferred for their genetic stability – they are often used for studying mutations for example, where genetic stability is crucial. We have shown previously that phenotypic variability can be observed in isogenic B-lymphoblastoid cell lines. Isogenic LCLs present well-defined phenotypic differences on various levels, for example on the gene expression level or the chromatin level. Based on our investigations, the phenotypic variability of the isogenic LCLs is accompanied by certain genetic variation too. We have developed a compendium of LCL datasets that present the phenotypic and genetic variability of five isogenic LCLs from a multiomic perspective. In this paper, we present additional datasets generated with Next Generation Sequencing techniques to provide genomic and transcriptomic profiles (WGS, RNA-seq, single cell RNA-seq), protein-DNA interactions (ChIP-seq), together with mass spectrometry and flow cytometry datasets to monitor the changes in the proteome. We are sharing these datasets with the scientific community according to the FAIR principles for further investigations. Nature Publishing Group UK 2022-12-10 /pmc/articles/PMC9741606/ /pubmed/36496436 http://dx.doi.org/10.1038/s41597-022-01871-9 Text en © The Author(s) 2022 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 Laczik, Miklós Erdős, Edina Ozgyin, Lilla Hevessy, Zsuzsanna Csősz, Éva Kalló, Gergő Nagy, Tibor Barta, Endre Póliska, Szilárd Szatmári, István Bálint, Bálint László Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells |
title | Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells |
title_full | Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells |
title_fullStr | Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells |
title_full_unstemmed | Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells |
title_short | Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells |
title_sort | extensive proteome and functional genomic profiling of variability between genetically identical human b-lymphoblastoid cells |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741606/ https://www.ncbi.nlm.nih.gov/pubmed/36496436 http://dx.doi.org/10.1038/s41597-022-01871-9 |
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