Methods and applications for single-cell and spatial multi-omics
The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome
from single cells is transforming our understanding of cell biology in health and disease. In …
from single cells is transforming our understanding of cell biology in health and disease. In …
Genome-wide association studies
Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants
across many genomes to find those statistically associated with a specific trait or disease …
across many genomes to find those statistically associated with a specific trait or disease …
An integrated cell atlas of the lung in health and disease
Single-cell technologies have transformed our understanding of human tissues. Yet, studies
typically capture only a limited number of donors and disagree on cell type definitions …
typically capture only a limited number of donors and disagree on cell type definitions …
The technological landscape and applications of single-cell multi-omics
Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …
simultaneously integrating various single-modality omics methods that profile the …
A single–cell type transcriptomics map of human tissues
Advances in molecular profiling have opened up the possibility to map the expression of
genes in cells, tissues, and organs in the human body. Here, we combined single-cell …
genes in cells, tissues, and organs in the human body. Here, we combined single-cell …
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans
The Tabula Sapiens Consortium*, RC Jones… - Science, 2022 - science.org
Molecular characterization of cell types using single-cell transcriptome sequencing is
revolutionizing cell biology and enabling new insights into the physiology of human organs …
revolutionizing cell biology and enabling new insights into the physiology of human organs …
Dictionary learning for integrative, multimodal and scalable single-cell analysis
Map** single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …
powerful alternative to unsupervised analysis. However, most reference datasets are …
Fibrosis: from mechanisms to medicines
Fibrosis can affect any organ and is responsible for up to 45% of all deaths in the
industrialized world. It has long been thought to be relentlessly progressive and irreversible …
industrialized world. It has long been thought to be relentlessly progressive and irreversible …
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …
as language and computer vision. Specifically, the combination of large-scale diverse …
[HTML][HTML] High-content CRISPR screening
CRISPR screens are a powerful source of biological discovery, enabling the unbiased
interrogation of gene function in a wide range of applications and species. In pooled …
interrogation of gene function in a wide range of applications and species. In pooled …