Author

Sivadoss Raju

Government of Tamil NaduORCID 0000-0002-0524-2979Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Esaki Muthu ShankariD· 3 shared Marie LarssoniD· 2 shared Vijayakumar VeluiD· 2 shared Abdul R. AnshadiD· 1 shared Åsa Nilsdotter‐AugustinssoniD· 1 shared Aswini Jayaraman· 1 shared Calivarathan LatchoumycandaneiD· 1 shared Cecilia SvanbergiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersMicrobiology

Esaki Muthu ShankarORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Intranasal administration of Burkholderia cepacia promotes progressive acute inflammatory changes in experimental BALB/c mice

Selvaraj Roshan, Thippeswamy Aishwarya, Ramappa Chidananda, Inupanurthi Suma Madhuri, Muthuvel Atchaya, Abdul R. Anshad, Sourabh Rajendra Bhujbal, Durairajan Siva Sundara Kumar, Parthiban Rudrapathy, Pitchaipillai Sankar Ganesh, Sivadoss Raju, Suvaiyarasan Suvaithenamudhan, Ramendra Pati Pandey, Sridhar Muthusami, Rajesh Nachiappa Ganesh, , Esaki Muthu Shankar

This study investigates the inflammatory response in BALB/c mice after intranasal B. cepacia infection, showing organ-specific pathology and temporal cytokine and metabolomic changes.

bioRxiv · May 28, 2026 · PreprintMicrobiology

Genomic Evolution of SARS-CoV-2 Delta Variants Pre- and Post-Omicron Emergence using Alignment-free Machine Learning models

Sathish Sankar, Kaushika Anandharaman, Pradeesh Selvam, Aswini Jayaraman, Deepak Jayakumar, Pachamuthu Balakrishnan, Marie Larsson, Vijayakumar Velu, Sivadoss Raju, Esaki Muthu Shankar

This study uses alignment-free machine learning to analyze SARS-CoV-2 Delta variant spike gene sequences before and after Omicron, identifying genomic changes and distinguishing the two groups with high accuracy.

PLoS ONE · Mar 19, 2026Peer-reviewedGenomics

Altered DNA methylation pattern contributes to differential epigenetic immune signaling in the upper respiratory airway of COVID-19 patients

Melissa Govender, Jyotirmoy Das, Francis R. Hopkins, Cecilia Svanberg, Johan Nordgren, Marie Hagbom, Jonas Klingström, Åsa Nilsdotter‐Augustinsson, Yean Kong Yong, Vijayakumar Velu, Sivadoss Raju, Johanna Sjöwall, Esaki Muthu Shankar, Sofia N. Nyström, Marie Larsson

This study identifies altered DNA methylation patterns in the upper respiratory airway of COVID-19 patients, highlighting changes in immune-related genes and potential implications for airway health.

Cells · Oct 27, 2025Peer-reviewedMicrobiology