Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells

Laczik, Miklós; Erdős, Edina* [Erdős, Edina (klinikai kutatás,...), author] Department of Biochemistry and Molecular Biology (UD); Ozgyin, Lilla* [Ozgyin, Lilla (molekuláris orvos...), author] Department of Biochemistry and Molecular Biology (UD); Hevessy, Zsuzsanna [Hevessy Zsuzsanna, Dóra (Véralvadás XIII-a...), author] Department of Laboratory Medicine (UD); Csősz, Éva [Csősz, Éva (Molekuláris bioló...), author] Department of Biochemistry and Molecular Biology (UD); Molekuláris Medicina Kutató Központ (UD); Kalló, Gergő [Kalló, Gergő (Proteomika), author] Department of Biochemistry and Molecular Biology (UD); Molekuláris Medicina Kutató Központ (UD); Nagy, Tibor [Nagy, Tibor (Bioinformatika), author]; Barta, Endre [Barta, Endre (Bioinformatika), author] Department of Biochemistry and Molecular Biology (UD); Department of Genetics and Genomics (HUALS / IGB); Póliska, Szilárd [Póliska, Szilárd (Elméleti orvostud...), author] Department of Biochemistry and Molecular Biology (UD); Genomi Medicina és Bioinformatikai Szolgáltató ... (UD / DBMB); Szatmári, István [Szatmári, István (Molekuláris biológia), author]; Bálint, Bálint László ✉ [Bálint, Bálint László (Molekuláris biológia), author] Department of Biochemistry and Molecular Biology (UD); Genomi Medicina és Bioinformatikai Szolgáltató ... (UD / DBMB); Bioinformatika Tanszék (SU / FM / I)

English Article (Journal Article) Scientific
Published: SCIENTIFIC DATA 2052-4463 9 (1) Paper: 763 , 12 p. 2022
  • Regionális Tudományok Bizottsága: B nemzetközi
  • SJR Scopus - Computer Science Applications: D1
Identifiers
Fundings:
  • (TKP2021-NKTA-34)
  • (GINOP-2.3.3-15-2016-00007)
  • (GINOP-2.3.3-15-2016-00020)
  • (EFOP-3.6.1-16-2016-00022) Funder: EFOP
  • (K 129166)
  • Runx3 által szabályozott dendritikus sejt fejlődés(K 124890) Funder: NRDIO
  • (4.2.4.A/2-11-1-2012-0001) Funder: TÁMOP
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.
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2025-04-02 01:13