Agin Ravindran

ORCID: 0000-0002-2672-2947
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About
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Research Areas
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Cancer-related molecular mechanisms research
  • Genomics and Phylogenetic Studies
  • Protein Degradation and Inhibitors
  • T-cell and Retrovirus Studies
  • Molecular Biology Techniques and Applications
  • Lymphoma Diagnosis and Treatment
  • Multiple Myeloma Research and Treatments
  • S100 Proteins and Annexins
  • Peptidase Inhibition and Analysis
  • Ion channel regulation and function
  • Cardiac electrophysiology and arrhythmias
  • Acute Lymphoblastic Leukemia research
  • RNA Research and Splicing

Australian National University
2021-2024

EMBL Australia
2022-2024

Abstract The heterogeneous composition of cellular transcriptomes poses a major challenge for detecting weakly expressed RNA classes, as they can be obscured by abundant RNAs. Although biochemical protocols enrich or deplete specified RNAs, are time-consuming, expensive and compromise integrity. Here we introduce RISER, biochemical-free technology the real-time enrichment depletion classes. RISER performs selective rejection molecules during direct sequencing identifying classes directly...

10.1038/s41467-024-48673-8 article EN cc-by Nature Communications 2024-05-24

ABSTRACT The epitranscriptome embodies many new and largely unexplored functions of RNA. A significant roadblock hindering progress in epitranscriptomics is the identification more than one modification individual transcript molecules. We address this with CHEUI (CH3 (methylation) Estimation Using Ionic current). predicts N6-methyladenosine (m6A) 5-methylcytidine (m5C) molecules from same sample, stoichiometry at reference sites, differential methylation between any two conditions. processes...

10.1101/2022.03.14.484124 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-03-16

Abstract The heterogeneous composition of cellular transcriptomes poses a major challenge for detecting weakly expressed RNA classes, as they can be obscured by abundant RNAs. Although biochemical protocols enrich or deplete specified RNAs, are time-consuming, expensive and compromise integrity. Here we introduce RISER, biochemical-free technology the real-time enrichment depletion classes. RISER performs selective rejection molecules during direct sequencing identifying classes directly...

10.1101/2022.11.29.518281 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-11-29

Gene expression programs underpin the development of shared phenotypes, yet importance transcript complexity in shaping mammalian evolution remains unclear. Here we present a comprehensive long-read direct RNA sequencing atlas full-length transcripts and their m6A modifications across six tissues (hippocampus, frontal cortex, cerebellum, testes, skeletal muscle, liver) five mammals (human, mouse, rat, dog, cow) non-mammalian out-group (chicken). Our analysis reveals that 29% genes have...

10.1101/2024.11.24.624934 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-11-24

RNA sample integrity variability introduces biases and obscures natural degradation, posing a significant challenge in transcriptomics. To address this, we developed the Direct Transcriptome Integrity (DTI) measure, universal robust metric based on nanopore sequencing. By accurately modeling fragmentation, DTI provides reliable assessment of quality. Integrated into INDEGRA package (freely available at https://github.com/Arnaroo/INDEGRA), provide tools to correct false discoveries enable...

10.1101/2024.12.12.627949 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-12-12
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