Results 261 to 270 of about 3,562,031 (294)

Gasdermin E: a missing link in muscle regeneration. [PDF]

J Clin Invest
Krishna S, Rafael-Fortney JA.
europepmc   +1 more source

A single-cell eQTL atlas of the developing human brain

Cameron D, Tume C, Vinh N, Davies S, Morgan J, Baran Y, Won H, Pardinas A, O'Donovan M, Bray N.   +9 more
europepmc   +1 more source

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Translating single-cell genomics into cell types

Nature Machine Intelligence, 2023
Machine translation of languages can now automatically detect different cell types from single-cell transcriptomic data. Such a feat opens the prospect of dissecting complex clinical samples such as heterogenous tumours at scale. ; J.N.T. acknowledge support from the King Abdullah University of Science and Technology.
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Single-Cell Genomics Unravels Brain Cell-Type Complexity

2017
The brain is the most complex tissue in terms of cell types that it comprises, to the extent that it is still poorly understood. Single cell genome and transcriptome profiling allow to disentangle the neuronal heterogeneity, enabling the categorization of individual neurons into groups with similar molecular signatures.
Amy, Guillaumet-Adkins, Holger, Heyn
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Single-cell transcriptomics reveals cell type diversity of human prostate

Journal of Genetics and Genomics, 2022
Extensive studies have been performed to describe the phenotypic changes occurring during malignant transformation of the prostate. However, the cell types and associated changes that contribute to the development of prostate diseases and cancer remain elusive, largely due to the heterogeneous composition of prostatic tissues.
Yang Chen, Peng Zhang, Jinling Liao, Jiwen Cheng, Qin Zhang, Tianyu Li, Haiying Zhang, Yonghua Jiang, Fangxing Zhang, Yanyu Zeng, Linjian Mo, Haibiao Yan, Deyun Liu, Qinyun Zhang, Chunlin Zou, Gong-Hong Wei, Zengnan Mo   +16 more
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SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation

Journal of Computational Biology, 2022
Multiomic single-cell data allow us to perform integrated analysis to understand genomic regulation of biological processes. However, most single-cell sequencing assays are performed on separately sampled cell populations, as applying them to the same single-cell is challenging. Existing unsupervised single-cell alignment algorithms have been primarily
Pinar Demetci, Rebecca Santorella, Manav Chakravarthy, Bjorn Sandstede, Ritambhara Singh   +4 more
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Single-cell phylotranscriptomics of developmental and cell type evolution

Trends in Genetics
Single-cell phylotranscriptomics is an emerging tool to reveal the molecular and cellular mechanisms of evolution. We summarize its utility in studying the hourglass pattern of ontogenetic evolution and for understanding the evolutionary history of cell types. The developmental hourglass model suggests that the mid-embryonic stage is the most conserved
Fuqiang Ma, Chaogu Zheng
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