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General Transcription Factors

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...

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Related Experiment Video

Updated: May 10, 2026

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Published on: May 20, 2024

Robust and tissue-independent gender-specific transcript biomarkers.

Frank Staedtler¹, Nicole Hartmann, Martin Letzkus

¹Novartis Institutes for BioMedical Research (NIBR), Biomarker Development, Basel, Switzerland. Frank.Staedtler@novartis.com

Biomarkers : Biochemical Indicators of Exposure, Response, and Susceptibility to Chemicals

|July 9, 2013

Summary

Accurate molecular-level human gender determination is essential. Researchers identified a robust five-gene panel (RPS4Y1, EIF1AY, DDX3Y, KDM5D, XIST) for predicting gender across diverse tissues and platforms.

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Area of Science:

Genomics
Molecular Biology
Human Genetics

Background:

Accurate molecular-level gender assignment is critical in various scientific and applied fields.
Existing methods may have limitations in certain contexts.

Purpose of the Study:

To identify and validate reliable molecular markers for human gender determination.
To develop a robust, platform-independent method for predicting gender from biological samples.

Main Methods:

Genome-wide microarray expression data from human blood samples were analyzed to identify candidate gender markers.
The predictive power of identified markers was tested on diverse human tissue datasets (healthy and cancerous).
Reverse transcription polymerase chain reaction (RT-PCR) was used to quantify gene abundance as an alternative technology.

Main Results:

A panel of five predictive, gender-specific transcript markers was identified and qualified.
These markers include RPS4Y1, EIF1AY, DDX3Y, KDM5D, and XIST.
The marker panel demonstrated effectiveness across different tissue types and analytical platforms.

Conclusions:

Gene expression marker panels offer a robust approach for gender determination.
This method is independent of tissue origin and analytical platform.
The identified gene panel provides a reliable tool for molecular gender assignment.