Author

V. Philip

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 1 Cancer Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Macpherson· 1 shared B. H. Lok· 1 shared C. Shimbori· 1 shared D. Cheng· 1 shared D. De Carvalho· 1 shared D. Patel· 1 shared D. Sacdalan· 1 shared E. F. Verdu· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. Macpherson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Innate immune system signaling and CD11b+CD11c+CD103+ cell migration to the brain underlie changes in mouse behavior after microbial colonization.

V. Philip, N. Kraimi, H. Zhang, J. Lu, G. De Palma, C. Shimbori, K. D. McCoy, S. Hapfelmeier, O. P. Schaeren, A. Macpherson, F. Chirdo, M. G. Surette, E. F. Verdu, F. Liu, S. M. Collins, P. Bercik

This study identifies innate immune signaling and CD11b+CD11c+CD103+ cell migration to the brain as mechanisms linking microbial colonization to behavioral changes in mice.

bioRxiv · Jul 3, 2024 · PreprintAnimal Behavior & Cognition

Collaborative partnership model to transform bioinformatics core into a highly effective research partner and multiply the impact

R. K. M. Karuturi, G. K. Ramamoorthy, G. TeHennepe, J. George, V. Philip

This paper describes a collaborative partnership model that transformed a bioinformatics core into an active research collaborator, enhancing its impact on scientific research.

bioRxiv · Sep 21, 2022 · PreprintScientific Communication & Education

Cell-free Tumor Methylome Analysis of Small Cell Lung Cancer Patients Identifies Subgroups with Prognostic Associations

S. Ul Haq, S. Schmid, M. K. Aparnathi, K. Hueniken, L. J. Zhan, D. Sacdalan, J. J. N. Li, D. Patel, D. Cheng, V. Philip, M. S. Tsao, M. Cabanero, D. De Carvalho, G. Liu, S. V. Bratman, B. H. Lok

This study uses cfMeDIP-seq to analyze cell-free methylomes in SCLC patients, identifying prognostic methylome clusters associated with biological pathways and repeat elements.

bioRxiv · May 12, 2022 · PreprintCancer Biology