Widespread sex dimorphism across single-cell transcriptomes of adult African turquoise killifish tissues

被引:2
|
作者
Teefy, Bryan B. [1 ]
Lemus, Aaron J. J. [1 ,2 ]
Adler, Ari [1 ]
Xu, Alan [1 ,3 ]
Bhala, Rajyk [1 ]
Hsu, Katelyn [1 ,2 ]
Benayoun, Berenice A. [1 ,2 ,4 ,5 ,6 ]
机构
[1] Univ Southern Calif, Leonard Davis Sch Gerontol, Los Angeles, CA 90089 USA
[2] USC Dornsife Coll Letters Arts & Sci, Mol & Computat Biol Dept, Los Angeles, CA 90089 USA
[3] USC Dornsife Coll Letters Arts & Sci, Quantitat & Computat Biol Dept, Los Angeles, CA 90089 USA
[4] USC Keck Sch Med, Biochem & Mol Med Dept, Los Angeles, CA 90089 USA
[5] USC Norris Comprehens Canc Ctr, Epigenet & Gene Regulat, Los Angeles, CA 90089 USA
[6] USC Stem Cell Initiat, Los Angeles, CA 90089 USA
来源
CELL REPORTS | 2023年 / 42卷 / 10期
关键词
EXPRESSION; EVOLUTION; REVEALS; DIFFERENTIATION; MECHANISMS; HALLMARKS; INSIGHTS; PLATFORM; PACKAGE; GENOME;
D O I
10.1016/j.celrep.2023.113237
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The African turquoise killifish (Nothobranchius furzeri), the shortest-lived vertebrate that can be bred in captivity, is an emerging model organism for aging research. Here, we describe a multitissue, single-cell gene expression atlas of female and male blood, kidney, liver, and spleen. We annotate 22 cell types, define marker genes, and infer differentiation trajectories. We find pervasive sex-dimorphic gene expression across cell types. Sex-dimorphic genes tend to be linked to lipid metabolism, consistent with clear differences in lipid storage in female vs. male turquoise killifish livers. We use machine learning to predict sex using sin-gle-cell gene expression and identify potential markers for molecular sex identity. As a proof of principle, we show that our atlas can be used to deconvolute existing bulk RNA sequencing (RNA-seq) data to obtain accurate estimates of cell type proportions. This atlas can be a resource to the community that could be leveraged to develop cell-type-specific expression in transgenic animals.
引用
收藏
页数:27
相关论文
共 50 条
  • [31] Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes
    Zhou, Joseph X.
    Taramelli, Roberto
    Pedrini, Edoardo
    Knijnenburg, Theo
    Huang, Sui
    SCIENTIFIC REPORTS, 2017, 7
  • [32] Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes
    Joseph X. Zhou
    Roberto Taramelli
    Edoardo Pedrini
    Theo Knijnenburg
    Sui Huang
    Scientific Reports, 7
  • [33] Single-cell analysis of endometriosis reveals a coordinated transcriptional programme driving immunotolerance and angiogenesis across eutopic and ectopic tissues
    Tan, Yuliana
    Flynn, William F.
    Sivajothi, Santhosh
    Luo, Diane
    Bozal, Suleyman B.
    Dave, Monica
    Luciano, Anthony A.
    Robson, Paul
    Luciano, Danielle E.
    Courtois, Elise T.
    NATURE CELL BIOLOGY, 2022, 24 (08) : 1306 - +
  • [34] Single-cell analysis of endometriosis reveals a coordinated transcriptional programme driving immunotolerance and angiogenesis across eutopic and ectopic tissues
    Yuliana Tan
    William F. Flynn
    Santhosh Sivajothi
    Diane Luo
    Suleyman B. Bozal
    Monica Davé
    Anthony A. Luciano
    Paul Robson
    Danielle E. Luciano
    Elise T. Courtois
    Nature Cell Biology, 2022, 24 : 1306 - 1318
  • [35] Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data
    Dong, Kangning
    Zhang, Shihua
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (03)
  • [36] Author Correction: Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes
    Joseph X. Zhou
    Roberto Taramelli
    Edoardo Pedrini
    Theo Knijnenburg
    Sui Huang
    Scientific Reports, 8
  • [37] SINGLE-CELL TRANSCRIPTIONAL AND CLONAL CHARACTERIZATION OF CD4+T CELLS ACROSS TISSUES IN LONG-TERM MELANOMA SURVIVORS
    Han, Jichang
    Zhao, Yanding
    Shirai, Keisuke
    Searles, Tyler
    Khatwani, Nikhil
    Vella, Jennifer
    Haidar, Fatima
    Kolling, Fred
    Gui, Jiang
    Cheng, Chao
    Turk, Mary
    Angeles, Christina
    JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2021, 9 : A674 - A674
  • [38] Author Correction: Single-cell analysis of endometriosis reveals a coordinated transcriptional programme driving immunotolerance and angiogenesis across eutopic and ectopic tissues
    Yuliana Tan
    William F. Flynn
    Santhosh Sivajothi
    Diane Luo
    Suleyman B. Bozal
    Monica Davé
    Anthony A. Luciano
    Paul Robson
    Danielle E. Luciano
    Elise T. Courtois
    Nature Cell Biology, 2022, 24 : 1679 - 1679
  • [39] Unravelling lipidomic disruptions across multiple tissues inChd8-mutant ASD mice through integration of lipidomics and single-cell transcriptomics
    Yu, You
    Zhang, Bing
    Wang, Ning
    Zuo, Zhenqiang
    Ji, Peifeng
    Zhao, Fangqing
    GUT, 2024,
  • [40] Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes (vol 7, 8815, 2017)
    Zhou, Joseph X.
    Taramelli, Roberto
    Pedrini, Edoardo
    Knijnenburg, Theo
    Huang, Sui
    SCIENTIFIC REPORTS, 2018, 8