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  1. Article ; Online: Mettl3-catalyzed m

    Maldonado López, Alexandra M / Ko, Eun Kyung / Huang, Sijia / Pacella, Gina / Kuprasertkul, Nina / D'souza, Carina A / Reyes Hueros, Raúl A / Shen, Hui / Stoute, Julian / Elashal, Heidi / Sinkfield, Morgan / Anderson, Amy / Prouty, Stephen / Li, Hua-Bing / Seykora, John T / Liu, Kathy Fange / Capell, Brian C

    Science advances

    2023  Volume 9, Issue 35, Page(s) eadg5234

    Abstract: ... ...

    Abstract N6
    MeSH term(s) Animals ; Mice ; Histones ; Methyltransferases/genetics ; Adenosine ; Cell Adhesion ; RNA, Messenger ; Catalysis
    Chemical Substances Histones ; Methyltransferases (EC 2.1.1.-) ; Adenosine (K72T3FS567) ; RNA, Messenger ; Mettl3 protein, mouse (EC 2.1.1.-)
    Language English
    Publishing date 2023-09-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.adg5234
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Memory Sequencing Reveals Heritable Single-Cell Gene Expression Programs Associated with Distinct Cellular Behaviors.

    Shaffer, Sydney M / Emert, Benjamin L / Reyes Hueros, Raúl A / Cote, Christopher / Harmange, Guillaume / Schaff, Dylan L / Sizemore, Ann E / Gupte, Rohit / Torre, Eduardo / Singh, Abhyudai / Bassett, Danielle S / Raj, Arjun

    Cell

    2020  Volume 182, Issue 4, Page(s) 947–959.e17

    Abstract: Non-genetic factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring ... ...

    Abstract Non-genetic factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring gene expression in single cells mostly rely on single time point measurements, making the duration of gene expression fluctuations or cellular memory difficult to measure. Here, we combined Luria and Delbrück's fluctuation analysis with population-based RNA sequencing (MemorySeq) for identifying genes transcriptome-wide whose fluctuations persist for several divisions. MemorySeq revealed multiple gene modules that expressed together in rare cells within otherwise homogeneous clonal populations. These rare cell subpopulations were associated with biologically distinct behaviors like proliferation in the face of anti-cancer therapeutics. The identification of non-genetic, multigenerational fluctuations can reveal new forms of biological memory in single cells and suggests that non-genetic heritability of cellular state may be a quantitative property.
    MeSH term(s) Cell Division ; Cell Line, Tumor ; Drug Resistance, Neoplasm/genetics ; Genes, Reporter ; Humans ; In Situ Hybridization, Fluorescence ; Microscopy, Fluorescence ; Sequence Analysis, RNA ; Single-Cell Analysis/methods ; Time-Lapse Imaging ; Transcriptome
    Language English
    Publishing date 2020-07-30
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2020.07.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1167: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  3. Article: Memory Sequencing Reveals Heritable Single-Cell Gene Expression Programs Associated with Distinct Cellular Behaviors

    Shaffer, Sydney M / Emert, Benjamin L / Reyes Hueros, Raúl A / Cote, Christopher / Harmange, Guillaume / Schaff, Dylan L / Sizemore, Ann E / Gupte, Rohit / Torre, Eduardo / Singh, Abhyudai / Bassett, Danielle S / Raj, Arjun

    Cell. 2020 Aug. 20, v. 182, no. 4

    2020  

    Abstract: Non-genetic factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring ... ...

    Abstract Non-genetic factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring gene expression in single cells mostly rely on single time point measurements, making the duration of gene expression fluctuations or cellular memory difficult to measure. Here, we combined Luria and Delbrück’s fluctuation analysis with population-based RNA sequencing (MemorySeq) for identifying genes transcriptome-wide whose fluctuations persist for several divisions. MemorySeq revealed multiple gene modules that expressed together in rare cells within otherwise homogeneous clonal populations. These rare cell subpopulations were associated with biologically distinct behaviors like proliferation in the face of anti-cancer therapeutics. The identification of non-genetic, multigenerational fluctuations can reveal new forms of biological memory in single cells and suggests that non-genetic heritability of cellular state may be a quantitative property.
    Keywords cancer therapy ; cell division ; clones ; gene expression ; gene regulatory networks ; genes ; heritability ; memory ; sequence analysis
    Language English
    Dates of publication 2020-0820
    Size p. 947-959.e17.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2020.07.003
    Database NAL-Catalogue (AGRICOLA)

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