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Ramachandran, S. C.

Publications and source records attributed to Ramachandran, S. C..

2 recordsLinked to original sources

PRDM3 and PRDM16 define cranial neural crest cell states in zebrafish development

Cartilage and bone that comprise craniofacial structures as well as neurons and glia of the peripheral nervous system are derived from a multipotent population of cranial neural crest cells, that respond to both cell intrinsic and extrinsic cues to differentiate into precise cell states. Both a genetic and epigenetic regulatory network are required for each step in the differentiation process, involving transcription factors, histone modifiers and chromatin remodelers. Here, we examined the direct transcriptional targets of two histone methyltransferases, Prdm3 and Prdm16 in zebrafish neural crest cells at 48 hours post fertilization in zebrafish. Using CUT&RUN, we examined both direct DNA binding and nucleosome association. At this stage of development, CUT&RUN fragment size analysis indicated that Prdm3 and Prdm16 are largely associated with nucleosomes. We further analyzed these nucleosome peak sets to identify 6 clusters where differential binding of Prdm3 and Prdm16 and differential enrichment of gene ontology terms for target genes was observed. We validated gene expression in each cluster by in situ hybridization chain reaction (HCR) at 48 hpf demonstrating that prdm3 and prdm16 mutants exhibit corresponding changes in gene expression of the putative gene targets identified. Finally, we performed CUT&RUN-qPCR in prdm3 and prdm16 mutant zebrafish embryos and demonstrated reduced binding at putative target loci. Together these data suggest that Prdm3 and Prdm16 regulate their transcriptional targets primarily by binding nucleosomes around their putative target loci to control downstream gene expression. HighlightsPrdm3 and Prdm16 associate with nucleosomes for regulation of gene expression Gene targets are altered in prdm3 and prdm16 mutant zebrafish Reduced binding is observed in respective mutants

developmental biology↗

Standardizing Human Brain Parcellations

Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available at https://github.com/neurodata/neuroparc.

neuroscience↗