Evidence map›Paper›PMID 38866801›Full record

ArticleScientific data2024

Integrative transcriptomic and proteomic profiling of the effects of cell confluency on gene expression.

Vivian Lobo, Evgeniia Shcherbinina, Jakub O Westholm, Iwona Nowak, Hsiang-Chi Huang, Davide Angeletti, Dimitrios G Anastasakis, Aishe A Sarshad

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

8 authors.

Vivian Lobo *Department of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
Evgeniia Shcherbinina *Department of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
Jakub O WestholmDepartment of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Box 1031, SE, 17121, Solna, Sweden.
Iwona NowakDepartment of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
Hsiang-Chi HuangDepartment of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
Davide AngelettiSciLifeLab, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.ORCID 0000-0002-5256-1972
Dimitrios G AnastasakisRNA Molecular Biology Laboratory, National Institute for Arthritis and Musculoskeletal and Skin Disease, Bethesda, MD, 20892, USA.
Aishe A SarshadDepartment of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden. aishe.sarshad@gu.se.ORCID 0000-0001-7153-5959

Funding

Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) PAR 2020/228Svenska Sällskapet för Medicinsk Forskning (Swedish Society for Medical Research) S19-0019Vetenskapsrådet (Swedish Research Council) 2019-01855
6 · The paper itself

Abstract

In this study we examine the impact of cell confluency on gene expression. We focused on Argonaute (AGO) protein dynamics and associated gene and protein expression in HEK293, A375, and SHSY5Y cell lines. As a consequence of cell confluency, AGO2 protein translocates into the nucleus. Therefore, we generated transcriptomic data using RNA sequencing to compare gene expression in subconfluent versus confluent cells, which highlighted significant alterations in gene regulation patterns directly corresponding to changes in cell density. Our study also encompasses miRNA profiling data obtained through small RNA sequencing, revealing miRNA expressional changes dependent on cellular confluency, as well as cellular localization. Finally, we derived proteomic data from mass spectrometry analyses following AGO1-4 immunoprecipitation, providing a comprehensive view of AGO interactome in both nuclear and cytoplasmic compartments under varying confluency. These datasets offer a detailed exploration of the cellular and molecular dynamics, influenced by cell confluency, presenting a valuable resource for further research in cellular biology, particularly in understanding the basic mechanisms of cell density in cancer cells.

Indexed as

Argonaute ProteinsProteomicsTranscriptomeCell Line, TumorGene Expression ProfilingHEK293 CellsHumansMicroRNAsAGO2 protein, humanArgonaute ProteinsMicroRNAs

Identifiers

PMID38866801
PMCPMC11169490

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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.