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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Akhtar, Junaid | en_US |
dc.contributor.author | KULKARNI, APURVA et al. | en_US |
dc.date.accessioned | 2020-08-03T03:58:40Z | - |
dc.date.available | 2020-08-03T03:58:40Z | - |
dc.date.issued | 2019-08 | en_US |
dc.identifier.citation | Life Science Alliance, 2(4). | en_US |
dc.identifier.issn | - | en_US |
dc.identifier.uri | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/4932 | - |
dc.identifier.uri | https://doi.org/10.26508/lsa.201900318 | en_US |
dc.description.abstract | Chromatin immunoprecipitation (ChIP) followed by next generation sequencing (ChIP-Seq) is a powerful technique to study transcriptional regulation. However, the requirement of millions of cells to generate results with high signal-to-noise ratio precludes it in the study of small cell populations. Here, we present a tagmentation-assisted fragmentation ChIP (TAF-ChIP) and sequencing method to generate high-quality histone profiles from low cell numbers. The data obtained from the TAF-ChIP approach are amenable to standard tools for ChIP-Seq analysis, owing to its high signal-to-noise ratio. The epigenetic profiles from TAF-ChIP approach showed high agreement with conventional ChIP-Seq datasets, thereby underlining the utility of this approach. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Life Science Alliance LLC | en_US |
dc.subject | Chromatin immunoprecipitation | en_US |
dc.subject | ChIP-Seq | en_US |
dc.subject | 2019 | en_US |
dc.title | TAF-ChIP: an ultra-low input approach for genome-wide chromatin immunoprecipitation assay | en_US |
dc.type | Article | en_US |
dc.contributor.department | Dept. of Biology | en_US |
dc.identifier.sourcetitle | Life Science Alliance | en_US |
dc.publication.originofpublisher | Foreign | en_US |
Appears in Collections: | JOURNAL ARTICLES |
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