Author

M. Sorokina

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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Microbiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

C. Steinbeck· 2 shared G. Pohnert· 2 shared K. Peters· 2 shared M. Zulfiqar· 2 shared A. Bagaev· 1 shared A. J. Radtke· 1 shared A. L. Shaffer· 1 shared A. Varlamova· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

C. Steinbeck

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Analysis of Metabolomics and Transcriptomics Data to Assess Interactions in Microalgal Co-culture of Skeletonema marinoi and Prymnesium parvum

M. Zulfiqar, A.-S. Abel, E. Barth, K. Syhapanha, R. X. Poulin, S. N. C. W. Dehiwalage, G. Pohnert, C. Steinbeck, K. Peters, M. Sorokina

This study uses metabolomics and transcriptomics to analyze interactions between two marine microalgae in mono-cultures and co-cultures, revealing metabolic communication and cellular repair mechanisms.

bioRxiv · Dec 23, 2023 · PreprintMicrobiology

Untargeted Metabolomics to Expand the Chemical Space of the Marine Diatom Skeletonema marinoi

M. Zulfiqar, D. Stettin, S. Schmidt, V. Nikitashina, G. Pohnert, C. Steinbeck, K. Peters, M. Sorokina

This study uses untargeted metabolomics to expand the known chemical space of the marine diatom Skeletonema marinoi, identifying 1970 metabolites and highlighting their ecological and biotechnological significance.

bioRxiv · Sep 7, 2023 · PreprintMicrobiology

A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

A. J. Radtke, E. Postovalova, A. Varlamova, A. Bagaev, M. Sorokina, O. Kudryashova, M. Meerson, M. Polyakova, I. Galkin, V. Svekolkin, S. Isaev, G. Perelman, Y. Lozinsky, Z. Yaniv, B. C. Lowekamp, , R. N. Germain

This study creates a multi-scale, multiomic atlas of human normal and follicular lymphoma lymph nodes to identify tumor-specific features and microenvironmental patterns associated with early relapse.

bioRxiv · Jun 3, 2022Cancer Biology