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Updated: Jul 5, 2025

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MyeloDB: a multi-omics resource for multiple myeloma.

Ambuj Kumar1, Keerthana Vinod Kumar1, Kavita Kundal1

  • 1Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, 502284, India.

Functional & Integrative Genomics
|January 20, 2024
PubMed
Summary

Researchers developed MyeloDB, a multi-omics database for multiple myeloma (MM). This open-access resource aids in analyzing complex data, identifying potential drug targets, and advancing personalized treatment for this blood cancer.

Keywords:
BiomarkersDrug sensitivityGene expressionMultiple myelomaMyeloDBSynthetic lethality

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Area of Science:

  • Hematology
  • Genomics
  • Bioinformatics

Background:

  • Multiple myeloma (MM) is a plasma cell malignancy, a significant hematological cancer causing organ damage.
  • Genomic technologies offer potential for early MM detection and personalized therapies, but data integration and analysis pose challenges.

Purpose of the Study:

  • To address challenges in analyzing multi-omics data in multiple myeloma research.
  • To create an open-access database, MyeloDB, integrating diverse datasets for MM research.

Main Methods:

  • Developed MyeloDB, a multi-omics database including gene expression, CRISPR screens, drug sensitivity, and biomarkers.
  • Integrated 47 expression profiles, 3 methylation profiles, 5630 patient samples, and 25 biomarkers.
  • Enabled analysis of gene mutations' impact on drug sensitivity in MM.

Main Results:

  • MyeloDB provides a comprehensive platform for multi-omics data analysis in multiple myeloma.
  • The database facilitates insights into gene mutations and their effect on drug sensitivity.
  • Identified five novel potential drug targets for MM: CBFB, MANF, MBNL1, SEPHS2, and UFM1.

Conclusions:

  • MyeloDB serves as a valuable open-access resource for the multiple myeloma research community.
  • The database is expected to foster novel discoveries and advance personalized treatment strategies for MM.
  • Facilitates deeper understanding and data-driven research in multiple myeloma.