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Integrative transcriptomic and proteomic profiling of the effects of cell confluency on gene expression.
Lobo, Vivian; Shcherbinina, Evgeniia; Westholm, Jakub O; Nowak, Iwona; Huang, Hsiang-Chi; Angeletti, Davide; Anastasakis, Dimitrios G; Sarshad, Aishe A.
Afiliación
  • Lobo V; Department of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
  • Shcherbinina E; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
  • Westholm JO; Department of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
  • Nowak I; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
  • Huang HC; Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Box 1031, SE, 17121, Solna, Sweden.
  • Angeletti D; Department of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
  • Anastasakis DG; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
  • Sarshad AA; Department of Medical Biochemistry and Cell biology, Institute of Biomedicine, University of Gothenburg, SE, 40530, Gothenburg, Sweden.
Sci Data ; 11(1): 617, 2024 Jun 12.
Article en En | MEDLINE | ID: mdl-38866801
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteómica / Proteínas Argonautas / Transcriptoma Límite: Humans Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteómica / Proteínas Argonautas / Transcriptoma Límite: Humans Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Suecia