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Regulation of Hematopoietic Stem Cells01:01

Regulation of Hematopoietic Stem Cells

All blood and immune cells are produced from the multipotent hematopoietic stem cells (HSCs) by the process of hematopoiesis. However, they all have a limited life span. In addition, many are depleted in immune surveillance or combatting an injury or infection. This makes blood one of the most regenerative tissues. Hematopoiesis helps replenish these blood and immune cells, restoring the body's normal functioning. However, overproduction of blood and immune cells can make them cancerous or...

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Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from S&#233;zary Syndrome Patients for Transcriptomic Profiling
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SysInflam HuDB, a Web Resource for Mining Human Blood Cells Transcriptomic Data Associated with Systemic Inflammatory

Mohammed Toufiq1, Susie Shih Yin Huang1,2, Sabri Boughorbel1

  • 1Sidra Medicine, Doha, Qatar.

Journal of Immunology (Baltimore, Md. : 1950)
|October 19, 2021
PubMed
Summary

SysInflam HuDB is a new database for human blood transcriptomic data in sepsis. It aids in identifying gene signatures and understanding inflammation drivers in sepsis patients.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Immunology

Background:

  • Sepsis involves a dysregulated inflammatory response to infection, making biomarker identification difficult.
  • Public transcriptomic data offers insights but lacks structured databases for sepsis research.
  • Existing data analysis requires effective visualization tools for meaningful interpretation.

Purpose of the Study:

  • To curate and present a comprehensive database of human blood transcriptomic data for sepsis.
  • To provide a user-friendly interface for exploring, visualizing, and interpreting sepsis-related transcriptomic datasets.
  • To facilitate the identification of gene signatures and genetic drivers of inflammation in sepsis.

Main Methods:

  • Curated a collection of human blood transcriptomic datasets associated with systemic inflammation and sepsis.
  • Integrated transcriptome data with clinical metadata into a web-based interface (SysInflam HuDB).
  • Included tools for simultaneous exploration, visualization, and interpretation of multiple datasets.

Main Results:

  • The database, SysInflam HuDB, contains 62 datasets and 5719 individual profiles.
  • Gene expression changes were assessed for concordance with existing literature.
  • Demonstrated utility through custom data visualization for group and individual analyses.

Conclusions:

  • SysInflam HuDB is a unique resource for studying systemic inflammatory diseases like sepsis.
  • The database facilitates the identification of human blood gene signatures in response to infection.
  • It aids in delineating genetic drivers of inflammation onset and progression in various conditions.