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RBP Image Database: A resource for the systematic characterization of the subcellular distribution properties of human RNA binding proteins. | LitMetric

AI Article Synopsis

  • - RNA binding proteins (RBPs) are crucial in regulating gene expression and are involved in various aspects of RNA metabolism, making them important in both cell function and disease.
  • - The RBP Image Database compiles data on the subcellular locations of 301 RBPs in human liver and cervical cancer cell lines, based on extensive immuno-fluorescence studies.
  • - This database features around 250,000 microscopy images, a curated vocabulary for easy navigation, and a user-friendly interface for quick access to information, and is available for free online.

Article Abstract

RNA binding proteins (RBPs) are central regulators of gene expression implicated in all facets of RNA metabolism. As such, they play key roles in cellular physiology and disease etiology. Since different steps of post-transcriptional gene expression tend to occur in specific regions of the cell, including nuclear or cytoplasmic locations, defining the subcellular distribution properties of RBPs is an important step in assessing their potential functions. Here, we present the RBP Image Database, a resource that details the subcellular localization features of 301 RBPs in the human HepG2 and HeLa cell lines, based on the results of systematic immuno-fluorescence studies conducted using a highly validated collection of RBP antibodies and a panel of 12 markers for specific organelles and subcellular structures. The unique features of the RBP Image Database include: (i) hosting of comprehensive representative images for each RBP-marker pair, with ∼250,000 microscopy images; (ii) a manually curated controlled vocabulary of annotation terms detailing the localization features of each factor; and (iii) a user-friendly interface allowing the rapid querying of the data by target or annotation. The RBP Image Database is freely available at https://rnabiology.ircm.qc.ca/RBPImage/.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825414PMC
http://dx.doi.org/10.1093/nar/gkac971DOI Listing

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