[HTML][HTML] Systematic benchmarking of imaging spatial transcriptomics platforms in FFPE tissues

H Wang, R Huang, J Nelson, C Gao, M Tran, A Yeaton… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Emerging imaging spatial transcriptomics (iST) platforms and coupled analytical methods
can recover cell-to-cell interactions, groups of spatially covarying genes, and gene …

[HTML][HTML] Single-cell and spatial analyses reveal a tradeoff between murine mammary proliferation and lineage programs associated with endocrine cues

GK Gray, N Girnius, HJ Kuiken, AZ Henstridge… - Cell reports, 2023 - cell.com
Although distinct epithelial cell types have been distinguished in glandular tissues such as
the mammary gland, the extent of heterogeneity within each cell type and the degree of …

Pooled genetic screens identify breast cancer risk genes involved in evasion from T cell-mediated killing

W Shi, Y Luo, JM Burrows, D Black, A Civitarese… - bioRxiv, 2024 - biorxiv.org
Genome-wide association studies have identified more than 220 loci associated with breast
cancer susceptibility. A major challenge is now to identify the effector genes with plausible …

Navigating the manifold of single-cell gene coexpression to discover interpretable gene programs

S Ozbay, A Parekh, R Singh - bioRxiv, 2023 - biorxiv.org
During development and differentiation, transcriptional regulation in the cell often occurs at
the level of gene programs (ie, sets of co-varying genes), rather than isolated genes. It is …

Single nuclei chromatin accessibility and transcriptomic map of breast tissues of women of diverse genetic ancestry

P Bhat-Nakshatri, H Gao, AS Khatpe, PC McGuire… - bioRxiv, 2023 - biorxiv.org
Single nuclei analysis is allowing robust classification of cell types in an organ that helps to
establish relationships between cell-type specific gene expression and chromatin …

General solution to inflated type I and II errors in multi-subject single-cell differential gene expression analysis

H Lee, B Han - bioRxiv, 2023 - biorxiv.org
Large-scale multi-subject single-cell data have become very common. For differential gene
expression (DGE) analysis of these datasets, a common practice is to choose any of the two …