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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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Once a transport vesicle has recognized its target organelle, the vesicular membrane needs to fuse with the target membrane to unload the cargo. Transmembrane proteins called SNAREs present on organelle membranes and their vesicles, mediate vesicle fusion.
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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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FusionGDB: fusion gene annotation DataBase.

Pora Kim1, Xiaobo Zhou1,2,3

  • 1Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Nucleic Acids Research
|November 9, 2018
PubMed
Summary
This summary is machine-generated.

FusionGDB is a new database that catalogs over 48,000 cancer gene fusions. This resource aids in understanding gene fusion functions and discovering new cancer biomarkers and therapies.

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Area of Science:

  • Genomics and Bioinformatics
  • Cancer Research
  • Molecular Biology

Background:

  • Gene fusions, resulting from chromosomal rearrangements, are key features of cancer genomes.
  • Numerous fusion genes (FGs) serve as critical biomarkers and therapeutic targets in various cancers.
  • Understanding FG function is crucial for advancing cancer diagnostics and treatment.

Purpose of the Study:

  • To establish FusionGDB, a comprehensive database for pan-cancer gene fusion annotation.
  • To facilitate the understanding of FG functions across different cancer types.
  • To promote the discovery of novel, clinically relevant fusion genes.

Main Methods:

  • Collected approximately 48,117 FGs from three major resources: ChiTaRS 3.1, TumorFusions, and TCGA.
  • Performed functional annotations, including open reading frame (ORF) assignment and protein feature retention analysis (39 features).
  • Generated fusion transcript and amino acid sequences considering multiple breakpoints and isoforms.

Main Results:

  • Identified 331 in-frame FGs retaining kinase domains, 303 retaining DNA-binding domains, and 667 retaining epigenetic factor domains.
  • Discovered 976 FGs with lost protein-protein interaction capabilities.
  • FusionGDB offers six annotation categories: FusionGeneSummary, FusionProtFeature, FusionGeneSequence, FusionGenePPI, RelatedDrug, and RelatedDisease.

Conclusions:

  • FusionGDB provides a valuable, integrated resource for exploring cancer gene fusions.
  • The database facilitates functional annotation and characterization of FGs.
  • FusionGDB supports research into FG-driven mechanisms and potential therapeutic strategies in oncology.