Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells
Abstract 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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-022-01871-9 |
| _version_ | 1811203584482607104 |
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| author | Miklós Laczik Edina Erdős Lilla Ozgyin Zsuzsanna Hevessy Éva Csősz Gergő Kalló Tibor Nagy Endre Barta Szilárd Póliska István Szatmári Bálint László Bálint |
| author_facet | Miklós Laczik Edina Erdős Lilla Ozgyin Zsuzsanna Hevessy Éva Csősz Gergő Kalló Tibor Nagy Endre Barta Szilárd Póliska István Szatmári Bálint László Bálint |
| author_sort | Miklós Laczik |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T02:57:47Z |
| format | Article |
| id | doaj.art-ea926b9c0067441a8234be0c3d5249da |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-12T02:57:47Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-ea926b9c0067441a8234be0c3d5249da2022-12-22T03:50:45ZengNature PortfolioScientific Data2052-44632022-12-019111210.1038/s41597-022-01871-9Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cellsMiklós Laczik0Edina Erdős1Lilla Ozgyin2Zsuzsanna Hevessy3Éva Csősz4Gergő Kalló5Tibor Nagy6Endre Barta7Szilárd Póliska8István Szatmári9Bálint László Bálint10Genomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenDepartment of Laboratory Medicine, Faculty of Medicine, University of DebrecenProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of DebrecenAbstract 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.https://doi.org/10.1038/s41597-022-01871-9 |
| spellingShingle | Miklós Laczik Edina Erdős Lilla Ozgyin Zsuzsanna Hevessy Éva Csősz Gergő Kalló Tibor Nagy Endre Barta Szilárd Póliska István Szatmári Bálint László Bálint Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells Scientific Data |
| 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 |
| url | https://doi.org/10.1038/s41597-022-01871-9 |
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