Sex Specific Biomarkers
Sex Specific Biomarkers - Related Videos
08:32
Sex Differences in Mouse Hippocampal Astrocytes after In-Vitro Ischemia
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Cited by 9 •
2016
Astrocytes are one of the most important key players in the central nervous system (CNS). Here, we are reporting a practical method of sexed hippocampal astrocyte culture protocol in order to study the mechanisms underlying the astrocyte function in male and female neonate pups after in-vitro ischemia.
08:14
Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks
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Cited by 29 •
2014
This protocol provides a convenient set of methods, which enables extremely fast, easy, non-invasive, reliable and low-cost, molecular sex determination of birds and their non-invasive, quick, safe and easily recognizable marking shortly after hatching. Only limited handling of chicks is required. This convenient toolbox of methods complies entirely with the RRR-guidelines.
05:57
Sex Hormone Detection In Human Tear Film Using Enzyme-Linked Immunosorbent Assays
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2026
This protocol describes an optimized enzyme-linked immunosorbent assay (ELISA) method to detect and quantify 17β-estradiol and testosterone in human tear fluid collected via microcapillary tubes. This approach enables minimally invasive measurement of tear hormone levels.
10:16
Accurate and Phenol Free DNA Sexing of Day 30 Porcine Embryos by PCR
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Cited by 10 •
2016
This protocol describes an accurate, inexpensive, rapid and non-toxic method to determine the sex of Day 30 porcine embryo using PCR method after grinding an embryo into powder without phenol chloroform extraction and DNA column purification.
10:44
Sex Stratified Neuronal Cultures to Study Ischemic Cell Death Pathways
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Cited by 7 •
2013
Primary disassociated embryonic hippocampal neuronal cultures are useful for investigating the signaling mechanisms involved in neuron death. Sexing the embryos before the isolation and dissociation of the hippocampus allows the preparation of separate male and female cultures, which enables the researcher to identify and investigate sex-specific cell signaling.
FAQs
Differences in chromosomes, hormone levels, gene regulation, and physiology can alter the abundance or activity of measurable biological features. These mechanisms may affect proteins, metabolites, transcripts, or DNA variants in different ways across biological sex groups. Examining several biomarker classes can therefore help researchers connect an observed pattern with underlying biological variation rather than treating it as an isolated measurement.
A biomarker difference may reflect biological sex, but it can also arise from age, disease status, or another confounding factor. Researchers account for these variables so that group comparisons more accurately represent the relationship of interest. This step reduces misleading associations and strengthens conclusions about whether a marker has sex-related biological or diagnostic relevance.
Researchers compare biomarker patterns across biological sex groups while considering relevant clinical and demographic variables. A difference in level or activity alone does not establish diagnostic usefulness; the marker must also be examined in relation to disease status and risk prediction. Careful validation helps determine whether sex-aware interpretation improves diagnosis or explains variation in disease-related biology.
The workflow begins by selecting biological samples and measuring candidate proteins, metabolites, transcripts, or DNA variants. Researchers then compare results across biological sex groups while accounting for age, disease status, and other confounding factors. Subsequent validation tests whether the observed pattern is consistent and useful for explaining disease mechanisms, predicting risk, or informing treatment decisions.
Investigations may measure proteins, metabolites, transcripts, or DNA variants in biological samples. Each type provides a different view of biological variation, including molecular products, small-molecule patterns, gene activity, or inherited sequence differences. Combining these measurements can help researchers characterize sex-related patterns more comprehensively and assess which biomarker class is most informative for a particular biological or clinical question.
They are useful when researchers need to explain differences in disease mechanisms, improve risk prediction or diagnosis, or understand why individuals respond differently to drugs or environmental exposures. In treatment research, these markers can support sex-aware decisions rather than assuming that one biomarker pattern applies equally to everyone. Validation remains essential before applying findings to biomedical practice.