Evidence map›Paper›PMID 36496436›Full record

ArticleScientific data2022

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

Miklós Laczik, Edina Erdős, Lilla Ozgyin, Zsuzsanna Hevessy, Éva Csősz, Gergő Kalló, Tibor Nagy, Endre Barta, Szilárd Póliska, István Szatmári and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Miklós Laczik *Genomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
Edina Erdős *Genomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
Lilla Ozgyin *Genomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
Zsuzsanna HevessyDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
Éva CsőszProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.ORCID http://orcid.org/0000-0003-4373-2175
Gergő KallóProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
Tibor NagyGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.ORCID http://orcid.org/0000-0002-4451-0796
Endre BartaGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
Szilárd PóliskaGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.
István SzatmáriGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary.ORCID http://orcid.org/0000-0001-5260-1498
Bálint László BálintGenomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem tér 1., H-4032, Hungary. lbalint@med.unideb.hu.ORCID http://orcid.org/0000-0002-6163-7190
University of Debrecen · HUSemmelweis University · HU

Funding

Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office) 124890
6 · The paper itself

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.

Indexed as

B-LymphocytesProteomeGenomicsHigh-Throughput Nucleotide SequencingHumansTranscriptomeProteome

Identifiers

PMID36496436
PMCPMC9741606
OpenAlexW4311669052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.