Benchmarking single-cell RNA-sequencing protocols for cell atlas projects DOI
Elisabetta Mereu, Atefeh Lafzi, Cátia Moutinho

et al.

Nature Biotechnology, Journal Year: 2020, Volume and Issue: 38(6), P. 747 - 755

Published: April 6, 2020

Language: Английский

Doublet identification in single-cell sequencing data using scDblFinder DOI
Pierre‐Luc Germain, Aaron T. L. Lun, Will Macnair

et al.

F1000Research, Journal Year: 2021, Volume and Issue: 10, P. 979 - 979

Published: Sept. 28, 2021

Doublets are prevalent in single-cell sequencing data and can lead to artifactual findings. A number of strategies have therefore been proposed detect them. Building on the strengths existing approaches, we developed

Language: Английский

Citations

452

Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics DOI Creative Commons
Leif S. Ludwig, Caleb A. Lareau, Jacob C. Ulirsch

et al.

Cell, Journal Year: 2019, Volume and Issue: 176(6), P. 1325 - 1339.e22

Published: Feb. 28, 2019

Language: Английский

Citations

447

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution DOI Creative Commons
Orit Rozenblatt–Rosen,

Aviv Regev,

Philipp Oberdoerffer

et al.

Cell, Journal Year: 2020, Volume and Issue: 181(2), P. 236 - 249

Published: April 1, 2020

Crucial transitions in cancer-including tumor initiation, local expansion, metastasis, and therapeutic resistance-involve complex interactions between cells within the dynamic ecosystem. Transformative single-cell genomics technologies spatial multiplex situ methods now provide an opportunity to interrogate this complexity at unprecedented resolution. The Human Tumor Atlas Network (HTAN), part of National Cancer Institute (NCI) Moonshot Initiative, will establish a clinical, experimental, computational, organizational framework generate informative accessible three-dimensional atlases cancer for diverse set types. This effort complements both ongoing efforts map healthy organs previous large-scale approaches focused on bulk sequencing single point time. Generating single-cell, multiparametric, longitudinal integrating them with clinical outcomes should help identify novel predictive biomarkers features as well therapeutically relevant cell types, states, cellular across transitions. resulting have profound impact our understanding biology potential improve detection, prevention, discovery better precision-medicine treatments patients those risk cancer.

Language: Английский

Citations

447

scGen predicts single-cell perturbation responses DOI
Mohammad Lotfollahi, F. Alexander Wolf, Fabian J. Theis

et al.

Nature Methods, Journal Year: 2019, Volume and Issue: 16(8), P. 715 - 721

Published: July 29, 2019

Language: Английский

Citations

441

Benchmarking single-cell RNA-sequencing protocols for cell atlas projects DOI
Elisabetta Mereu, Atefeh Lafzi, Cátia Moutinho

et al.

Nature Biotechnology, Journal Year: 2020, Volume and Issue: 38(6), P. 747 - 755

Published: April 6, 2020

Language: Английский

Citations

420