Anurupa Devi Yadavalli, PhD
Postdoctoral AssociateAbout
Titles
Postdoctoral Associate
Education & Training
- PhD
- University of Hyderabad (2022)
Research
Overview
I am interested in almost every question that deals with complex biological data involving B-cell development. During my Ph.D., I and my colleagues demonstrated that chromatin undergoes a dynamic switch to induce lineage-specific gene expression patterns. This study provided insights into how unique cis-regulatory networks are maintained across various B-cell stages and stood out as one of the first studies to report the dynamic nature of TADs (topologically associated domains). Later, I shifted my focus to implementing cutting-edge computational techniques and classification algorithms to identify transcriptional regulators that preserve B-cell identity.
Currently, at Schatz's lab, my research is focused on understanding mechanistic details involved in off-target Somatic Hypermutation (SHM). Antibody-mediated immunity relies on generating point mutations in rearranged immunoglobulin (Ig) loci of activated germinal center (GC) B cells. This process - called somatic hypermutation (SHM) - allows for antibody affinity maturation but also acts at certain non-Ig sites in the genome, thereby contributing to mutations and chromosomal translocations that drive B cell oncogenesis. The underlying mechanisms governing SHM targeting and mistargeting are poorly understood. In recent years, 3D genome architecture has emerged as a critical determinant in regulating gene expression and other cellular processes, and there is growing evidence for a role in SHM targeting. However, how 3D genome architecture cooperates with B cell transcription factors, epigenetic profiles, and the core transcriptional machinery to regulate SHM targeting and mistargeting remains unclear. I aim to achieve a comprehensive understanding of the multi-dimensional SHM landscape in different subsets of normal GC and oncogenic contexts by leveraging a state-of-the-art hybrid machine-learning approach that integrates various types of omics data.
Research at a Glance
Yale Co-Authors
David G. Schatz, PhD
Jianxiong Xiao, PhD
Publications
2022
HMCES protects immunoglobulin genes specifically from deletions during somatic hypermutation
Wu L, Shukla V, Yadavalli AD, Dinesh RK, Xu D, Rao A, Schatz DG. HMCES protects immunoglobulin genes specifically from deletions during somatic hypermutation. Genes & Development 2022, 36: 433-450. PMID: 35450882, PMCID: PMC9067407, DOI: 10.1101/gad.349438.122.Peer-Reviewed Original ResearchCitationsAltmetric
2021
A regulatory network of microRNAs confers lineage commitment during early developmental trajectories of B and T lymphocytes
Nikhat S, Yadavalli AD, Prusty A, Narayan PK, Palakodeti D, Murre C, Pongubala JMR. A regulatory network of microRNAs confers lineage commitment during early developmental trajectories of B and T lymphocytes. Proceedings Of The National Academy Of Sciences Of The United States Of America 2021, 118: e2104297118. PMID: 34750254, PMCID: PMC8609617, DOI: 10.1073/pnas.2104297118.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMultipotent progenitorsCell type-specific genesDe novo motif analysisLymphocyte developmentLineage-inappropriate genesHematopoietic multipotent progenitorsSilencing of genesType-specific genesGene expression programsNovo motif analysisEarly T-lymphocyte developmentAlternate cell fatesCell-autonomous mannerGene expression patternsLineage determinantsMyeloid differentiation potentialExpression programsCell fateMiRNAs functionMotif analysisParticular lineageT lymphocyte developmentRegulatory networksLineage commitmentMiRNA targetomeThe RAG1 N-terminal region regulates the efficiency and pathways of synapsis for V(D)J recombination
Beilinson HA, Glynn RA, Yadavalli AD, Xiao J, Corbett E, Saribasak H, Arya R, Miot C, Bhattacharyya A, Jones JM, Pongubala JMR, Bassing CH, Schatz DG. The RAG1 N-terminal region regulates the efficiency and pathways of synapsis for V(D)J recombination. Journal Of Experimental Medicine 2021, 218: e20210250. PMID: 34402853, PMCID: PMC8374863, DOI: 10.1084/jem.20210250.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsEvaluation of high salinity tolerance in Pongamia pinnata (L.) Pierre by a systematic analysis of hormone‐metabolic network
Marriboina S, Sharma K, Sengupta D, Yadavalli AD, Sharma RP, Attipalli R. Evaluation of high salinity tolerance in Pongamia pinnata (L.) Pierre by a systematic analysis of hormone‐metabolic network. Physiologia Plantarum 2021, 173: 1514-1534. PMID: 34165187, DOI: 10.1111/ppl.13486.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSalt-treated plantsCarbon exchange rateSalt stressSalinity toleranceJasmonic acid levelsSalt stress conditionsRelative water contentHigh salinity toleranceExpression of genesGene expression analysisPongamia pinnata (L.) PierreBiofuel treeSalinity stressPlant productivitySodium sequestrationExpression analysisZeatin contentProton exchangersDismutase geneStress conditionsMolecular levelSaline environmentsMetabolic adaptationLeavesGenes
2017
Developmentally regulated higher-order chromatin interactions orchestrate B cell fate commitment
Boya R, Yadavalli AD, Nikhat S, Kurukuti S, Palakodeti D, Pongubala JMR. Developmentally regulated higher-order chromatin interactions orchestrate B cell fate commitment. Nucleic Acids Research 2017, 45: 11070-11087. PMID: 28977418, PMCID: PMC5737614, DOI: 10.1093/nar/gkx722.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsChromatin reorganizationHigher-order chromatin interactionsGenome-wide expression profilesCell fate choiceCell fate determinationCell fate commitmentHi-C analysisMulti-potent progenitorsB cell fate determinationGene expression patternsB cell fate choicesChromatin architectureGenome architectureGenome organizationChromatin interactionsTranscription regulationEpigenetic landscapeFate determinationGenomic lociFate commitmentB compartmentsCommitted stateDevelopmental switchInteraction landscapeExpression patterns