RBP Image Database: A resource for the systematic characterization of the subcellular distribution properties of human RNA binding proteins.
Louis Philip Benoit BouvretteXiaofeng WangJonathan BoulaisJian KongEasin Uddin SyedSteven M BlueLijun ZhanSara OlsonRebecca StantonXintao WeiBrian YeeEric L Van NostrandXiang-Dong FuChristopher B BurgeBrenton R GraveleyGene W YeoEric LécuyerPublished in: Nucleic acids research (2022)
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/.
Keyphrases
- deep learning
- gene expression
- endothelial cells
- adverse drug
- convolutional neural network
- dna methylation
- optical coherence tomography
- high resolution
- artificial intelligence
- single molecule
- transcription factor
- induced pluripotent stem cells
- pluripotent stem cells
- single cell
- rna seq
- electronic health record
- stem cells
- high throughput
- cross sectional
- cell death
- bone marrow
- big data
- cell proliferation
- high speed
- heat shock
- case control
- loop mediated isothermal amplification
- cell cycle arrest