Single-cell transcriptome dataset of human and mouse in vitro adipogenesis models

被引:2
|
作者
Li, Jiehan [1 ,2 ,3 ]
Jin, Christopher [1 ]
Gustafsson, Stefan [4 ]
Rao, Abhiram [5 ]
Wabitsch, Martin [6 ]
Park, Chong Y. [1 ,2 ,3 ]
Quertermous, Thomas [1 ,3 ]
Knowles, Joshua W. [1 ,2 ,3 ,7 ]
Bielczyk-Maczynska, Ewa [1 ,2 ,3 ]
机构
[1] Stanford Univ, Dept Med, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USA
[2] Stanford Univ, Stanford Diabet Res Ctr, Sch Med, Stanford, CA 94305 USA
[3] Stanford Univ, Stanford Cardiovasc Inst, Sch Med, Stanford, CA 94305 USA
[4] Uppsala Univ, Dept Med Sci, Clin Epidemiol Unit, Uppsala, Sweden
[5] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[6] Ulm Univ, Ctr Rare Endocrine Dis, Dept Pediat & Adolescent Med, Div Pediat Endocrinol & Diabet,Med Ctr, D-89075 Ulm, Germany
[7] Stanford Univ, Stanford Prevent Res Ctr, Sch Med, Stanford, CA 94305 USA
关键词
HUMAN ADIPOSE-TISSUE; GENE-EXPRESSION; BINDING-PROTEIN; DIFFERENTIATION; INSULIN; LIPOGENESIS; REVEALS; OBESITY; STRAIN; MATRIX;
D O I
10.1038/s41597-023-02293-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Adipogenesis is a process in which fat-specific progenitor cells (preadipocytes) differentiate into adipocytes that carry out the key metabolic functions of the adipose tissue, including glucose uptake, energy storage, and adipokine secretion. Several cell lines are routinely used to study the molecular regulation of adipogenesis, in particular the immortalized mouse 3T3-L1 line and the primary human Simpson-Golabi-Behmel syndrome (SGBS) line. However, the cell-to-cell variability of transcriptional changes prior to and during adipogenesis in these models is not well understood. Here, we present a single-cell RNA-Sequencing (scRNA-Seq) dataset collected before and during adipogenic differentiation of 3T3-L1 and SGBS cells. To minimize the effects of experimental variation, we mixed 3T3-L1 and SGBS cells and used computational analysis to demultiplex transcriptomes of mouse and human cells. In both models, adipogenesis results in the appearance of three cell clusters, corresponding to preadipocytes, early and mature adipocytes. These data provide a groundwork for comparative studies on these widely used in vitro models of human and mouse adipogenesis, and on cell-to-cell variability during this process.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Integrative single-cell chromatin and transcriptome analysis of human plasma cell differentiation
    Alaterre, Elina
    Ovejero, Sara
    Bret, Caroline
    Dutrieux, Laure
    Sika, Dassou
    Perez, Raul Fernandez
    Espeli, Marion
    Fest, Thierry
    Cogne, Michel
    Martin-Subero, Jose Ignacio
    Milpied, Pierre
    Cavalli, Giacomo
    Moreaux, Jerome
    BLOOD, 2024, 144 (05) : 496 - 509
  • [32] SCPortalen: human and mouse single-cell centric database
    Abugessaisa, Imad
    Noguchi, Shuhei
    Bottcher, Michael
    Hasegawa, Akira
    Kouno, Tsukasa
    Kato, Sachi
    Tada, Yuhki
    Ura, Hiroki
    Abe, Kuniya
    Shin, Jay W.
    Plessy, Charles
    Carninci, Piero
    Kasukawa, Takeya
    NUCLEIC ACIDS RESEARCH, 2018, 46 (D1) : D781 - D787
  • [33] Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
    Chrysa Nikopoulou
    Niklas Kleinenkuhnen
    Swati Parekh
    Tonantzi Sandoval
    Christoph Ziegenhain
    Farina Schneider
    Patrick Giavalisco
    Kat-Folz Donahue
    Anna Juliane Vesting
    Marcel Kirchner
    Mihaela Bozukova
    Christian Vossen
    Janine Altmüller
    Thomas Wunderlich
    Rickard Sandberg
    Vangelis Kondylis
    Achim Tresch
    Peter Tessarz
    Nature Aging, 2023, 3 : 1430 - 1445
  • [34] Single-Cell Transcriptome Analysis of the Circle of Willis in a Mouse Cerebral Aneurysm Model
    Martinez, Alejandra N.
    Tortelote, Giovane G.
    Pascale, Crissey L.
    McCormack, Isabella G.
    Nordham, Kristen D.
    Suder, Natalie J.
    Couldwell, Mitchell W.
    Dumont, Aaron S.
    STROKE, 2022, 53 (08) : 2647 - 2657
  • [35] Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver
    Nikopoulou, Chrysa
    Kleinenkuhnen, Niklas
    Parekh, Swati
    Sandoval, Tonantzi
    Ziegenhain, Christoph
    Schneider, Farina
    Giavalisco, Patrick
    Donahue, Kat-Folz
    Vesting, Anna Juliane
    Kirchner, Marcel
    Bozukova, Mihaela
    Vossen, Christian
    Altmueller, Janine
    Wunderlich, Thomas
    Sandberg, Rickard
    Kondylis, Vangelis
    Tresch, Achim
    Tessarz, Peter
    NATURE AGING, 2023, 3 (11): : 1430 - 1445
  • [36] Single-Cell Transcriptome Profiling of Mouse and hESC-Derived Pancreatic Progenitors
    Krentz, Nicole A. J.
    Lee, Michelle Y. Y.
    Xu, Eric E.
    Sproul, Shannon L. J.
    Maslova, Alexandra
    Sasaki, Shugo
    Lynn, Francis C.
    STEM CELL REPORTS, 2018, 11 (06): : 1551 - 1564
  • [37] SINGLE-CELL TRANSCRIPTOME ANALYSIS OF MEDULLOBLASTOMA
    Hovestadt, Volker
    Filbin, Mariella G.
    Bihannic, Laure
    Shaw, McKenzie L.
    DeWitt, John M.
    Groves, Andrew
    Smith, Kyle S.
    Hadley, Jennifer
    Gajjar, Amar
    Robinson, Giles W.
    Mayr, Lisa
    Slavc, Irene
    Goumnerova, Liliana
    Ligon, Keith L.
    Suva, Mario L.
    Northcott, Paul A.
    Bernstein, Bradley E.
    NEURO-ONCOLOGY, 2018, 20 : 134 - 134
  • [38] ScnML models single-cell transcriptome to predict spinal cord neuronal cell status
    Liu, Lijia
    Huang, Yuxuan
    Zheng, Yuan
    Liao, Yihan
    Ma, Siyuan
    Wang, Qian
    FRONTIERS IN GENETICS, 2024, 15
  • [39] Single-cell transcriptome analysis of medulloblastoma
    DeWitt, John
    Hovestadt, Volker
    Filbin, Mariella
    Bihannic, Laure
    Shaw, Mckenzie
    Groves, Andrew
    Smith, Kyle
    Hadley, Jennifer
    Gajjar, Amar
    Robinson, Giles
    Mayr, Lisa
    Slavc, Irene
    Goumnerova, Liliana
    Ligon, Keith
    Suva, Mario
    Northcott, Paul
    Bernstein, Bradley
    JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 2018, 77 (06): : 504 - 505
  • [40] Single-Cell Analysis of Primary Liver Cancer in Mouse Models
    Suoangbaji, Tina
    Zhang, Vanilla Xin
    Ng, Irene Oi-Lin
    Ho, Daniel Wai-Hung
    CELLS, 2023, 12 (03)