NIH #5R35GM142889-05
Computational methods for delineating subcellular and cellular spatial transcriptional heterogeneity along developmental trajectories
- Amount
- $409K
- Period
- 2021-09-01 → 2026-07-31
- PIs
- 1
- Est. capacity / PI
- ~0 students
Single-cell and spatial transcriptomics · Molecular Biology
12 total · 5 active
NIH #5R35GM142889-05
NIH #5R35GM142889-04
NIH #5R35GM142889-03
Student capacity is a rough estimate from remaining award size, split equally among PIs. Actual funding decisions vary.
Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.
Journal of Clinical Oncology · 2026-05-27
Nature Communications · 2026-05-11
Spatial imprints of emergent cardiomyocyte states in the pressure-overloaded heart
bioRxiv (Cold Spring Harbor Laboratory) · 2026-05-08
Cancer Research · 2026-04-03
2026-04-02
2026-04-02
eLife · 2026-04-02
2026-04-02
Journal of Clinical Oncology · 2026-01-10
bioRxiv (Cold Spring Harbor Laboratory) · 2025-12-22
npj Precision Oncology · 2025-12-10 · 2 citations
The Lancet. Gastroenterology & hepatology · 2025-12-02 · 5 citations
bioRxiv (Cold Spring Harbor Laboratory) · 2025-11-25 · 1 citations
Blood · 2025-11-03
Revisiting the somatic mutation theory of cancer pathogenesis
Nature Reviews Genetics · 2025-10-22 · 2 citations
Exploring endothelial cell environments across organs in spatially resolved omics dataPreprint
bioRxiv (Cold Spring Harbor Laboratory) · 2025-09-25 · 2 citations
Impact of Data Quality on Deep Learning Prediction of Spatial Transcriptomics from Histology ImagesPreprint
bioRxiv (Cold Spring Harbor Laboratory) · 2025-09-09
eLife · 2025-08-26 · 1 citations
eLife · 2025-08-26 · 2 citations
2025-08-26