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 |