Best practices for single-cell analysis across modalities
Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
Spatiotemporal immune landscape of colorectal cancer liver metastasis at single-cell level
Y Wu, S Yang, J Ma, Z Chen, G Song, D Rao, Y Cheng… - Cancer discovery, 2022 - AACR
Liver metastasis, the leading cause of colorectal cancer mortality, exhibits a highly
heterogeneous and suppressive immune microenvironment. Here, we sequenced 97 …
heterogeneous and suppressive immune microenvironment. Here, we sequenced 97 …
Single-cell technologies to decipher cardiovascular diseases
WT Abplanalp, N Tucker, S Dimmeler - European Heart Journal, 2022 - academic.oup.com
Cardiovascular disease remains the leading cause of death worldwide. A deeper
understanding of the multicellular composition and molecular processes may help to identify …
understanding of the multicellular composition and molecular processes may help to identify …
scCODA is a Bayesian model for compositional single-cell data analysis
Compositional changes of cell types are main drivers of biological processes. Their
detection through single-cell experiments is difficult due to the compositionality of the data …
detection through single-cell experiments is difficult due to the compositionality of the data …
Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD
Neuropsychiatric disorders classically lack defining brain pathologies, but recent work has
demonstrated dysregulation at the molecular level, characterized by transcriptomic and …
demonstrated dysregulation at the molecular level, characterized by transcriptomic and …
Identification of neural oscillations and epileptiform changes in human brain organoids
RA Samarasinghe, OA Miranda, JE Buth… - Nature …, 2021 - nature.com
Brain organoids represent a powerful tool for studying human neurological diseases,
particularly those that affect brain growth and structure. However, many diseases manifest …
particularly those that affect brain growth and structure. However, many diseases manifest …
Detection of differentially abundant cell subpopulations in scRNA-seq data
Comprehensive and accurate comparisons of transcriptomic distributions of cells from
samples taken from two different biological states, such as healthy versus diseased …
samples taken from two different biological states, such as healthy versus diseased …
Sirpα on tumor-associated myeloid cells restrains antitumor immunity in colorectal cancer independent of its interaction with Cd47
Immunosuppressive myeloid cells hinder immunotherapeutic efficacy in tumors, but the
precise mechanisms remain undefined. Here, by performing single-cell RNA sequencing in …
precise mechanisms remain undefined. Here, by performing single-cell RNA sequencing in …
sccomp: Robust differential composition and variability analysis for single-cell data
S Mangiola, AJ Roth-Schulze… - Proceedings of the …, 2023 - National Acad Sciences
Cellular omics such as single-cell genomics, proteomics, and microbiomics allow the
characterization of tissue and microbial community composition, which can be compared …
characterization of tissue and microbial community composition, which can be compared …
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution
The rise and fall of estrogen and progesterone across menstrual cycles and during
pregnancy regulates breast development and modifies cancer risk. How these hormones …
pregnancy regulates breast development and modifies cancer risk. How these hormones …