Author

Jamila Iqbal

Griffith University

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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Cancer Biology· 1 Cell Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:electrophysiology· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alan Mackay‐SimiD· 1 shared Alex M. SykesiD· 1 shared Alexandre S. CristinoiD· 1 shared Anne Maria KoivistoiD· 1 shared Anthony Robert WhiteiD· 1 shared Asma GuliD· 1 shared Bareera Bibi· 1 shared Bingmiao GaoiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperNeuroscience

Alan Mackay‐SimORCID

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Author profile →

3 papers

Recent·Most cited

Parkinson's Disease-Linked Kir4.2 Mutation R28C Leads to Loss of Ion Channel Function

Xiaoyi Chen, Rocio K. Finol‐Urdaneta, Mo Chen, Alex M. Sykes, Bingmiao Gao, Jamila Iqbal, David J. Adams, George D. Mellick, Linlin Ma

This study investigates the impact of the Kir4.2R28C mutation on channel function and cellular processes, finding it causes loss of function and disrupts protein stability and trafficking.

The Journal of Physiology · Jun 1, 2025Peer-reviewedCell Biology

Differential Proteomic Analysis of DEN-Induced Hepatocellular Carcinoma in Male and Female Balb/c Mice Reveals Novel Gender Specific Markers

SALMMA SALAMAH SALIHAH, Muhammad Tahir, Bareera Bibi, Rabia Sultan, Martin R. Larsen, Munazza Raza Mirza, Sana Mahmood, Muhammad Rizwan Alam, Jamila Iqbal, Asma Gul

This study identifies gender-specific proteomic signatures in DEN-induced HCC by comparing differentially expressed proteins in male and female mice, revealing distinct pathways and prognostic markers.

bioRxiv · May 15, 2025 · PreprintCancer Biology

An Alzheimer's disease patient-derived olfactory cell model identifies gene expression changes associated with cognition

Laura M. Rantanen, Mainá Bitar, Riikka Lampinen, Romal Stewart, Hazel Quek, Lotta E. Oikari, Carla Cuní‐López, Ratneswary Sutharsan, Gayathri Thillaiyampalam, Jamila Iqbal, Daniel Russell, Elina Penttilä, Heikki Löppönen, Juha-Matti Lehtola, Toni Tapani Saari, , Anthony Robert White

The paper uses olfactory cells from Alzheimer's patients to identify gene expression changes linked to cognitive decline.

bioRxiv · Aug 22, 2022 · PreprintNeuroscience