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Single-nucleus transcriptomics identifies separate classes of UCP1 and futile cycle adipocytes

  1. TitleSingle-nucleus transcriptomics identifies separate classes of UCP1 and futile cycle adipocytes
    Author Wang Tongtong
    Co-authors Sharma Anand Kumar

    Wu Chunyan

    Maushart Claudia Irene

    Ghosh Adhideb

    Yang Wu

    Štefanička Patrik

    Kovaničová Zuzana SAVEXEND ; SAVBIOMED - Ústav experimentálnej endokrinológie SAV    ORCID

    Ukropec Jozef SAVEXEND ; SAVBIOMED - Ústav experimentálnej endokrinológie SAV    SCOPUS    RID    ORCID

    Zhang Jing

    Arnold Myrtha

    Klug Manuel

    Bock Katrien De

    Schneider Ulrich

    Popescu Cristina

    Zheng Bo

    Ding Lianggong

    Long Fen

    Dewal Revati Sumukh

    Moser Caroline

    Sun Wenfei

    Dong Hua

    Takes Martin

    Suelberg Dominique

    Mameghani Alexander

    Nocito Antonio

    Zech Christoph Johannes

    Chirindel Alin

    Wild Damian

    Burger Irene A.

    Schön Michael R.

    Dietrich Arne

    Gao Min

    Heine Markus

    Sun Yizhi

    Vargas-Castillo Ariana

    Søberg Susanna

    Scheele Camilla

    Baláž Miroslav SAVEXEND ; SAVBIOMED - Ústav experimentálnej endokrinológie SAV

    Blüher Matthias

    Betz Matthias Johannes

    Spiegelman Bruce M.

    Wolfrum Christian

    Source document Cell Metabolism. Vol. 36, no. 9 (2024), pp. 1-16
    Languageeng - English
    CountryUS - United States of America
    URLURL link
    Document kindrozpis článkov z periodík (rbx)
    CategoryADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2024
    Registered inWOS
    Registered inSCOPUS
    Registered inCCC
    DOI 10.1016/j.cmet.2024.07.005
    article

    article

    File nameAccessSizeDownloadedTypeLicense
    Single-nucleus transcriptomics identifies separate.pdfavailable7 MB1Publisher's version
    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    A
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    2024202327.7Q111.406Q1
Number of the records: 1  

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