Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions.
Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions.
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DOI:
10.1038/s41467-017-01962-x
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发表时间:
2017-11-24
影响因子:
16.6
通讯作者:
Nollmann M
中科院分区:
文献类型:
--
作者:
Cattoni DI;Cardozo Gizzi AM;Georgieva M;Di Stefano M;Valeri A;Chamousset D;Houbron C;Déjardin S;Fiche JB;González I;Chang JM;Sexton T;Marti-Renom MA;Bantignies F;Cavalli G;Nollmann M
At the kilo- to megabase pair scales, eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that associate to form nuclear compartments. Here, we combine high-content super-resolution microscopies with state-of-the-art DNA-labeling methods to reveal the variability in the multiscale organization of the Drosophila genome. We find that association frequencies within TADs and between TAD borders are below ~10%, independently of TAD size, epigenetic state, or cell type. Critically, despite this large heterogeneity, we are able to visualize nanometer-sized epigenetic domains at the single-cell level. In addition, absolute contact frequencies within and between TADs are to a large extent defined by genomic distance, higher-order chromosome architecture, and epigenetic identity. We propose that TADs and compartments are organized by multiple, small-frequency, yet specific interactions that are regulated by epigenetics and transcriptional state. Eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that exist at the kilo-megabase scale. Here Cattoni et al. combine super-resolution microscopy with DNA-labeling methods to quantify absolute frequencies of interactions within TADs.
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影响因子:
12.3
作者:
Chuang CH;Belmont AS
通讯作者:
Belmont AS
影响因子:
14.9
作者:
Contrino S;Smith RN;Butano D;Carr A;Hu F;Lyne R;Rutherford K;Kalderimis A;Sullivan J;Carbon S;Kephart ET;Lloyd P;Stinson EO;Washington NL;Perry MD;Ruzanov P;Zha Z;Lewis SE;Stein LD;Micklem G
通讯作者:
Micklem G
影响因子:
14.9
作者:
Cubeñas-Potts C;Rowley MJ;Lyu X;Li G;Lei EP;Corces VG
通讯作者:
Corces VG
DOI:
10.1038/nrg3454
发表时间:
2013-06
期刊:
Nature reviews. Genetics
影响因子:
--
作者:
通讯作者:
--
影响因子:
3.5
作者:
Dekker J;Heard E
通讯作者:
Heard E