[HTML][HTML] Applications of single-cell RNA sequencing in drug discovery and development
B Van de Sande, JS Lee, E Mutasa-Gottgens… - Nature Reviews Drug …, 2023 - nature.com
Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …
together with associated computational tools and the growing availability of public data …
Computational principles and challenges in single-cell data integration
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …
multiple dimensions of cellular heterogeneity, enabling new insights into development …
[HTML][HTML] Pluripotent stem cell-derived model of the post-implantation human embryo
BAT Weatherbee, CW Gantner, LK Iwamoto-Stohl… - Nature, 2023 - nature.com
The human embryo undergoes morphogenetic transformations following implantation into
the uterus, but our knowledge of this crucial stage is limited by the inability to observe the …
the uterus, but our knowledge of this crucial stage is limited by the inability to observe the …
[HTML][HTML] Dictionary learning for integrative, multimodal and scalable single-cell analysis
Mapping 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 …
[HTML][HTML] Complete human day 14 post-implantation embryo models from naive ES cells
The ability to study human post-implantation development remains limited owing to ethical
and technical challenges associated with intrauterine development after implantation …
and technical challenges associated with intrauterine development after implantation …
Single-cell transcriptomic characterization of a gastrulating human embryo
RCV Tyser, E Mahammadov, S Nakanoh, L Vallier… - Nature, 2021 - nature.com
Gastrulation is the fundamental process in all multicellular animals through which the basic
body plan is first laid down,,–. It is pivotal in generating cellular diversity coordinated with …
body plan is first laid down,,–. It is pivotal in generating cellular diversity coordinated with …
[HTML][HTML] Integrated analysis of multimodal single-cell data
Y Hao, S Hao, E Andersen-Nissen, WM Mauck… - Cell, 2021 - cell.com
The simultaneous measurement of multiple modalities represents an exciting frontier for
single-cell genomics and necessitates computational methods that can define cellular states …
single-cell genomics and necessitates computational methods that can define cellular states …
[HTML][HTML] A Python library for probabilistic analysis of single-cell omics data
To the Editor—Methods for analyzing single-cell data 1, 2, 3, 4 perform a core set of
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …
[HTML][HTML] Interpretation of T cell states from single-cell transcriptomics data using reference atlases
Single-cell RNA sequencing (scRNA-seq) has revealed an unprecedented degree of
immune cell diversity. However, consistent definition of cell subtypes and cell states across …
immune cell diversity. However, consistent definition of cell subtypes and cell states across …
[HTML][HTML] scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data
Annotating cell types on the basis of single-cell RNA-seq data is a prerequisite for research
on disease progress and tumour microenvironments. Here we show that existing annotation …
on disease progress and tumour microenvironments. Here we show that existing annotation …