Bayesian modeling of single-cell spatial data to find meaningful patterns in circadian-related affective disorders
Official title: DMS/NIGMS 2: Bayesian modeling of single cell spatial transcriptomics data to identify significant spatial
Funded at Texas A&m University · NIH-11401216 · Data updated 2026-11-12
A research team will use advanced Bayesian methods on single-cell spatial data to uncover how circadian rhythm disruptions may affect brain and body signals linked to mood and aggression in people with affective disorders.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas A&m University NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project start | September 1, 2025 |
| Project end | June 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $392,812 |
| NIH project number | 5R01GM163238-02 |
| Project ID | NIH-11401216 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals with affective disorders where circadian rhythm disruption is a factor may be eligible for related future studies or follow-up interventions.
✕Less likely to help
People without mood disorders or with circadian disruption not linked to mood conditions may not directly benefit from this specific research.
What this research studies
This project plans to apply Bayesian statistical methods to single-cell spatial transcriptomics data from tissues involved in circadian control, aiming to identify cellular patterns and pathways affected by circadian disruption. The study leverages next-generation sequencing and sophisticated bioinformatics to map where and when genes are active within tissues like the hypothalamus and peripheral organs. By linking these spatial gene expression patterns to mood-related conditions, the research seeks to reveal mechanisms that could inform future therapies. Participation would likely involve analysis of human-derived samples and data, with potential downstream implications for patient care.
Why it matters
Potential benefit: If successful, this work could illuminate new molecular targets and timing-based treatment approaches for affective disorders influenced by circadian disruption.
How similar studies have gone: Previous studies have shown that circadian disruption is linked to metabolic and mood disorders, and this approach could extend those findings with high-resolution spatial data.
Where this research is happening
-
Texas A&m University
College Station, United States Active
Researchers
- Principal investigator: Mallick, Bani K — Texas A&m University
- Study coordinator: Mallick, Bani K
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.