Satyanarayan Rao

ORCID: 0000-0001-7678-3505
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About
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Research Areas
  • Genomics and Chromatin Dynamics
  • Epigenetics and DNA Methylation
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Single-cell and spatial transcriptomics
  • Molecular Biology Techniques and Applications
  • RNA Research and Splicing
  • Animal Genetics and Reproduction
  • Cancer-related molecular mechanisms research
  • Cancer-related gene regulation
  • Estrogen and related hormone effects
  • Bacterial Genetics and Biotechnology
  • Fluid Dynamics Simulations and Interactions
  • Reproductive System and Pregnancy
  • DNA Repair Mechanisms
  • NF-κB Signaling Pathways
  • Geophysical Methods and Applications
  • Plant Molecular Biology Research
  • Evolutionary Algorithms and Applications
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • DNA and Nucleic Acid Chemistry
  • Cancer Immunotherapy and Biomarkers
  • Neural Networks and Applications

University of Colorado Anschutz Medical Campus
2020-2025

University of Southern California
2015-2023

University of Colorado Denver
2020-2023

Fred Hutch Cancer Center
2020

North Seattle College
2020

DNA shape analysis has demonstrated the potential to reveal structure-based mechanisms of protein-DNA binding. However, information about influence chemical modification is limited. Cytosine methylation, most frequent modification, represents addition a methyl group at major groove edge cytosine base. In mammalian genomes, methylation frequently occurs CpG dinucleotides. changing signature C/G base pairs, can affect structure. Since original discovery efforts have been made understand its...

10.1186/s13072-018-0174-4 article EN cc-by Epigenetics & Chromatin 2018-02-06

Protein-DNA binding is a fundamental component of gene regulatory processes, but it still not completely understood how proteins recognize their target sites in the genome. Besides hydrogen bonding major groove (base readout), minor-groove geometry using positively charged amino acids (shape readout). The underlying mechanism DNA shape readout involves correlation between width and electrostatic potential (EP). To probe this biophysical effect directly, rather than as an indirect measure for...

10.1093/nar/gkx915 article EN cc-by-nc Nucleic Acids Research 2017-09-28

DNA-binding proteins play important roles in various cellular processes, but the mechanisms by which recognize genomic target sites remain incompletely understood. Functional groups at edges of base pairs (bp) exposed DNA grooves represent physicochemical signatures. As these signatures enable to form specific contacts between protein residues and bp, their study can provide mechanistic insights into protein-DNA binding. Existing experimental methods, such as X-ray crystallography, reveal...

10.1073/pnas.2205796120 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2023-01-19

Genome-wide binding profiles of estrogen receptor (ER) and FOXA1 reflect cancer state in ER + breast cancer. However, routine profiling tumor transcription factor (TF) is impractical the clinic. Here, we show that plasma cell-free DNA (cfDNA) contains high-resolution for Enrichment TF footprints reflects strength originating tissue. We defined pure vivo signatures using xenografts, which can distinguish xenografts with distinct states. Furthermore, state-specific ER-binding partition human...

10.1126/sciadv.abm4358 article EN cc-by-nc Science Advances 2022-08-24

We demonstrate here that the α subunit C-terminal domain of Escherichia coli RNA polymerase (αCTD) recognizes upstream promoter (UP) DNA element via its characteristic minor groove shape and electrostatic potential. In two compositionally distinct crystallized assemblies, a pair αCTD subunits bind in tandem to UP consensus A-tract is 6 bp length (A6-tract), each with their arginine 265 guanidinium group inserted into groove. The A6-tract significantly narrowed these crystal structures, as...

10.1021/acs.biochem.0c00571 article EN Biochemistry 2020-11-18

Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents nucleosomal landscape cell(s)-of-origin captures dynamics epigenome. In this review, we highlight emergence epigenomic methods that assess beyond scope mutant tumour genotyping. Detection mutations is gold standard for sequencing in clinical oncology. However, limitations inherent mutation targeting cfDNA, possibilities uncovering molecular...

10.1098/rsob.200119 article EN cc-by Open Biology 2020-09-01

Many anecdotal observations exist of a regulatory effect DNA methylation on gene expression (Dantas Machado et al., 2015). However, in general, the underlying mechanisms this are poorl...

10.1080/07391102.2015.1032562 article EN Journal of Biomolecular Structure and Dynamics 2015-05-18

The MspI-HpaII digestion patterns of Gryllotalpa fossor (Scudder) DNA indicated the methylation internal cytosine in sequence 5′ -CCGG-3′. amount 5-methylcytosine (5mC) was estimated by HPLC analysis to be about 0.6–0.8%, which constitutes approximately 3% total genome. This is first example a non-mammalian animal with appreciable levels 5mC.Key words: insect genome, 5-methylcytosine, methylation.

10.1139/g92-026 article EN Genome 1992-02-01

Abstract Enhancers harbor binding motifs that recruit transcription factors (TFs) for gene activation. While cooperative of TFs at enhancers is known to be critical transcriptional activation a handful developmental enhancers, the extent TF cooperativity genome-wide unknown. Here, we couple high-resolution nuclease footprinting with single-molecule methylation profiling characterize active in Drosophila genome. Enrichment short MNase-protected DNA segments indicates majority two or more...

10.1101/2020.08.17.253146 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-08-18

Abstract How transcription factors (TF) selectively occupy a minute subset of their binding sites from sizeable pool putative in large mammalian genomes remains an important unanswered question. In part, nucleosomes help by creating formidable barriers to TF binding. concentration itself plays crucial role the competition between TFs and nucleosomes. case nuclear receptors, ligand adds another layer complexity. Estrogen receptor alpha (ER) is classic example where its main estradiol (E2) can...

10.1101/2022.09.23.509212 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-09-24

e21198 Background: Despite revolutionizing cancer therapy, immune checkpoint inhibitors (ICI) still do not benefit a significant proportion of patients. The risks associated with ICI-related adverse events, mixed performance PD-L1 staining in predicting treatment response and its high cost, present clinical need for more precise methods to define disease states the context ICI treatment. is thought depend on phenotype tumor response, especially functional state CD8+ T cells microenvironment...

10.1200/jco.2023.41.16_suppl.e21198 article EN Journal of Clinical Oncology 2023-06-01

Enhancers harbor binding motifs that recruit transcription factors (TFs) for gene activation. While cooperative of TFs at enhancers is known to be critical transcriptional activation a handful developmental enhancers, the extent TF cooperativity genome-wide unknown. Here, we couple high-resolution nuclease footprinting with single-molecule methylation profiling characterize active in Drosophila genome. Enrichment short MNase-protected DNA segments indicates majority two or more sites, and...

10.2139/ssrn.3692662 article EN SSRN Electronic Journal 2020-01-01

Here, we present a pipeline to map states of protein-binding DNA in vivo. Our infers as well quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, show how our workflow identifies binding at an enhancer Drosophila S2 cells. Data from cells lacking endogenous methylation are prerequisite for this pipeline. For complete details on the use and execution protocol, please refer Rao et al. (2021) Krebs (2017).

10.1016/j.xpro.2022.101299 article EN cc-by-nc-nd STAR Protocols 2022-04-12

Abstract Cell-free DNA (cfDNA) contains a composite map of the epigenomes its cells-of-origin. Tissue-specific transcription factor (TF) binding inferred from cfDNA could enable us to track disease states in humans minimally invasive manner. Here, by enriching for short fragments, we directly TF footprints at single sites plasma. We show that enrichment plasma reflects strength tissue-of-origin. Based on this principle, were able identify subset genome-wide selected TFs leave TF-specific...

10.1101/2021.04.14.439883 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-04-15
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