Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution | Zendy

TzuChiao Lu | Zendy; Maria Brbić | Zendy; Ye-Jin Park | Zendy; Tyler Jackson | Zendy; Jiaye Chen | Zendy; Sai Saroja Kolluru | Zendy; Yanyan Qi | Zendy; Nadja Sandra Katheder | Zendy; Xiaoyu Cai | Zendy; Seungjae Lee | Zendy; YenChung Chen | Zendy; Niccole L. Auld | Zendy; ChungYi Liang | Zendy; Sophia H. Ding | Zendy; Doug Welsch | Zendy; Samuel D’Souza | Zendy; Angela Oliveira Pisco | Zendy; Robert C. Jones | Zendy; Jure Leskovec | Zendy; Eric C. Lai | Zendy; Hugo J. Bellen | Zendy; Liqun Luo | Zendy; Heinrich Jasper | Zendy; Stephen R. Quake | Zendy; Hongjie Li | Zendy

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Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution

Author(s) -

TzuChiao Lu,

Maria Brbić,

Ye-Jin Park,

Tyler Jackson,

Jiaye Chen,

Sai Saroja Kolluru,

Yanyan Qi,

Nadja Sandra Katheder,

Xiaoyu Cai,

Seungjae Lee,

YenChung Chen,

Niccole L. Auld,

ChungYi Liang,

Sophia H. Ding,

Doug Welsch,

Samuel D’Souza,

Angela Oliveira Pisco,

Robert C. Jones,

Jure Leskovec,

Eric C. Lai,

Hugo J. Bellen,

Liqun Luo,

Heinrich Jasper,

Stephen R. Quake,

Hongjie Li

Publication year - 2023

Publication title -

science

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.adg0934

Subject(s) - biology , transcriptome , model organism , on the fly , cell type , computational biology , gene expression , cell , atlas (anatomy) , gene , drosophila melanogaster , microbiology and biotechnology , evolutionary biology , genetics , anatomy , computer science , operating system

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