Author

Mehar Sultana

New York University Abu Dhabi

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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Genomics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Alexandra MystikouiD· 2 shared Ashish Kumar JaiswaliD· 2 shared Kourosh Salehi‐AshtianiiD· 2 shared Layanne Nayfeh· 2 shared Aleksa PetkovićiD· 1 shared Amnah Salem Alzahmi· 1 shared Amphun ChaiboonchoeiD· 1 shared Basel KhraiweshiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Alexandra MystikouORCID

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Author profile →

3 papers

Recent·Most cited

Distinct depressive-like behavioural phenotypes in mice exhibit unique patterns of transcriptional perturbations across habenular cell subtypes

Priyam Narain, Marko Šušić, Aleksa Petković, Giuseppe Antonio-Saldi, Marc Arnoux, Mehar Sultana, Beemnet Andualem Belete, Dipesh Chaudhury

The paper identifies distinct transcriptional changes in habenular cell subtypes associated with different depressive-like behavioural phenotypes in mice.

Molecular Psychiatry · Sep 8, 2026Peer-reviewedNeuroscience

Earth-Observation and Environmental Vision Transformers Reveal Genome-Environment Associations in Macroalgae

Alexandra Mystikou, David Roy Nelson, Diana Charles El Assal, Ashish Kumar Jaiswal, Mehar Sultana, Cecilia Rad‐Menéndez, Noura Al‐Mansoori, Sewar T. Elias, Ma-sum Abdul-Hamid, Layanne Nayfeh, Nizar Drou, John A. Burt, David H. Green, Kourosh Salehi‐Ashtiani

The paper identifies genome-environment associations in macroalgae by integrating remote sensing data with deep learning to uncover genomic signatures of ecological adaptation.

bioRxiv · Dec 30, 2025 · PreprintGenomics

Multi-omics decipher the molecular mechanisms driving high-lipid production in an artificially-evolved Chlamydomonas mutant

David R. Nelson, Amphun Chaiboonchoe, Weiqi Fu, Basel Khraiwesh, Bushra Dohai, Ashish Kumar Jaiswal, Dina Al-Khairy, Alexandra Mystikou, Latifa Al Nahyan, Amnah Salem Alzahmi, Layanne Nayfeh, Sarah Daakour, Matthew John O’Connor, Mehar Sultana, Khaled M. Hazzouri, , Kourosh Salehi‐Ashtiani

The paper identifies mutations and multi-omic changes in a Chlamydomonas mutant (H5) that enhance lipid production without affecting growth.

bioRxiv · Aug 5, 2025 · PreprintGenomics