Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA282148 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide maps of nuclear lamina interactions in single human cells. (DamID; LaminB1, clone-14, haploid)
| PRJNA282152 | ENA
Project description:Genome-wide maps of nuclear lamina interactions in single human cells. (DamID; LaminB1, clone-5-5, haploid)
| PRJNA282150 | ENA
Project description:DamID LaminB1 data were generated in POU2F1-/- MEFs to study the potential role of POU2F1/Oct1 in genome - nuclear lamina interactions. DamID LaminA data were generated in NPCs and Astrocytes to study similarities/differences between LaminA and LaminB1 binding. Comparison of MEF wt versus MEF POU2F1-/-. Comparison of LaminA (NPC & AC) with LaminB1 (NPC & AC data in GSE17051)
2012-10-10 | E-GEOD-36132 | biostudies-arrayexpress
Project description:Genome-wide maps of nuclear lamina interactions (DamID on microarray; LaminB1, KBM7 cells, haploid)
| PRJNA285328 | ENA
Project description:Genome-wide maps of nuclear lamina interactions in single human cells. (DamID; LaminB1, clone-14, diploid)
| PRJNA282151 | ENA
Project description:Genome-wide maps of nuclear lamina interactions in single human cells. (DamID; LaminB1, clone-5-5, diploid)
| PRJNA282149 | ENA
Project description:DamID LaminB1 data were generated in POU2F1-/- MEFs to study the potential role of POU2F1/Oct1 in genome - nuclear lamina interactions. DamID LaminA data were generated in NPCs and Astrocytes to study similarities/differences between LaminA and LaminB1 binding. The procedure to arrive at the provided Hidden Markov Model (HMM) state calls is as follows: We fitted a two-state HMM whereby emissions are distributed as Student's t variables. Mean and variance of DamID signals differ between states, but the degree of freedom (nu) is the same. Gaps in the probe coverage were filled by evenly spaced null probe-values. The parameters were estimated by an adaptation of the ECME algorithm to the HMM framework, showing faster convergence than regular EM when nu is unknown (Filion et al., Cell, 2010). State calls were derived through the Viterbi algorithm. This process was repeated separately for each cell type, yielding per-probe calls. Probes in the ‘bound’ (1) state are indicated as LAD-probes, probes in the ‘unbound’ (0) state as inter-LAD-probes.
2012-10-10 | GSE36132 | GEO
Project description:Regulation of gene expression is highly conserved between vertebrates, yet the genomic binding patterns of transcription factors are poorly conserved, suggesting that other mechanisms may contribute. The spatial organization of chromosomes in the nucleus is known to affect gene activity, but it is unclear to what extent this organization is conserved in evolution. Genome-wide maps of nuclear lamina (NL) interactions show that human and mouse chromosomes have highly similar folding patterns inside the nucleus. Breaks in synteny are often located at transition points between NL interacting and intra-nuclear regions. Data were compared against data from Peric-Hupkes, Meuleman et al. (Molecular Cell, 2010). LaminB1-chromatin interactions were assayed in human ESCs and human HT1080 cells. LaminA-chromatin interactions were assayed in human HT1080 cells. For the all samples there were 2 biological replicates, that were hybridized in a dye-swap design.
2012-10-10 | E-GEOD-22428 | biostudies-arrayexpress
Project description:In mammalian nuclei, transcriptionally active genomic regions tend to localize to the interior of the nucleus while inactive regions are often located at at the nuclear lamina. In this study we activated specific genes in lamina-associated domains by TALE-VP64 or CRISPRa-mediated activation. We also reduced transcription of individual genes by knockout of promoter/enhancer regions, or by insertion of a transcription termination sequence. In each case we generated genome-wide DamID maps to determine changes in nuclear lamina interactions, and in selected cases we also generated Repli-seq maps and/or RNAseq data.
2019-06-28 | GSE133274 | GEO
Project description:In mammalian nuclei, transcriptionally active genomic regions tend to localize to the interior of the nucleus while inactive regions are often located at at the nuclear lamina. In this study we activated specific genes in lamina-associated domains by TALE-VP64 or CRISPRa-mediated activation. We also reduced transcription of individual genes by knockout of promoter/enhancer regions, or by insertion of a transcription termination sequence. In each case we generated genome-wide DamID maps to determine changes in nuclear lamina interactions, and in selected cases we also generated Repli-seq maps and/or RNAseq data.
2019-06-28 | GSE133273 | GEO