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Guthikonda, P. K.

Publications and source records attributed to Guthikonda, P. K..

2 recordsLinked to original sources

Biased visibility in HiC datasets marks dynamically regulated condensed and decondensed chromatin states genome-wide.

Proximity ligation based techniques, like HiC, involve restriction digestion followed by ligation of formaldehyde cross-linked chromatin. We showed that the HiC datasets have significant bias due to differential accessibility of chromatin domains to restriction endonucleases. Through analysis of lamina-associated domains (LADs), inactive X-chromosome in mammals and polytene bands in fly, we established that the DNA in condensed chromatin had lesser accessibility to nucleases used in HiC as compared to that in decondensed chromatin. The observed bias was independent of known systematic biases attributed to length and GC content of the restriction fragments and was not appropriately corrected by computational methods. We identified novel condensed domains outside LADs, which were bordered by insulators and were dynamically associated with the developmentally regulated epigenetic and transcriptional states. Our observations suggested that the corrected read counts of existing HiC datasets can be reliably repurposed to study the dynamics of chromatin condensation and decondensation and that the existing HiC datasets should be interpreted with cautions.

genomics↗

Polymorphic Dynamics of Ribosomal Proteins′ Gene Expression during Induced Pluripotency

Factor induced pluripotent stem cells (iPSCs) offer great promise in regenerative medicine. However, accumulating evidence suggests that iPSCs are heterogeneous in comparison with embryonic stem cells (ESCs), and that is attributed to various genetic and epigenetic states of donor cells. In the light of the discovery of cell-type specialized ribosomal protein composition, its role as the cells transit through different stages of reprogramming and when iPSCs differentiate into specialized cell-types has not been explored to understand its influence in the reprogramming and differentiation process and outcome. By re-analyzing the publicly available gene expression datasets among ESCs, various sources of iPSCs and somatic cells and by studying the ribosomal protein gene expression during different stages of reprogramming of somatic cells and different passages of established iPSCs we found distinct patterns of their expression across multiple cell-types. We experimentally validated these results on the cells undergoing reprogramming from human dermal fibroblasts. Finally, by comparing publicly available data from iPSCs, iPSCs derived specialized cells and its in vivo counterparts, we show alterations in ribosomal gene expression during differentiation of specialized cells from iPSCs which may have Implications in the context of ribosomopathies. Our results provide an informatics framework for researchers in efficient generation of iPSCs that are equivalent to ESCs.

developmental biology↗