Author

F. Iqbal

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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Cell Biology· 3 Biophysics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Approach:experimental assay· 4 Organism:human· 4 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

P. Machiraju· 3 shared S. C. Greenway· 3 shared A. Khan· 2 shared A. Ravandi· 2 shared J. Huang· 2 shared R. Sabouny· 2 shared T. Shutt· 2 shared T. Zhao· 2 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCell Biology

P. Machiraju

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Preserving endothelial integrity in human saphenous veins during preparation for coronary bypass surgery

M. W. Sedovy, X. Leng, F. Iqbal, M. C. Renton, M. Leaf, K. Roberts, A. Malek, W. S. Arnold, D. A. Wyatt, C. W. Choate, J. F. Rowe, J. W. Baker, S. R. Johnstone, M. Joseph

This study compares heparinized saline and blood solutions for preserving saphenous vein endothelium during coronary bypass graft preparation, finding blood better preserves endothelial integrity and reduces oxidative stress.

Journal of Vascular Research · Jan 12, 2024Peer-reviewedPhysiology

Performance of deep learning restoration methods for the extraction of particle dynamics in noisy microscopy image sequences

P. Kefer, F. Iqbal, M. Locatelli, J. Lawrimor, M. Zhang, K. Bloom, K. Bonin, P.-A. Vidi, J. Liu

This study evaluates deep learning denoising methods for improving particle tracking accuracy in noisy microscopy images, finding supervised learning generally outperforms unsupervised approaches.

bioRxiv · Nov 4, 2020Biophysics

Reversible Mitochondrial Fragmentation in iPSC-Derived Cardiomyocytes from Children with DCMA, a Mitochondrial Cardiomyopathy

L. Rohani, P. Machiraju, R. Sabouny, G. Meng, S. Liu, T. Zhao, F. Iqbal, A. Ravandi, J. C. Wu, A. Khan, T. Shutt, D. Rancourt, S. C. Greenway

This study uses iPSC-derived cardiomyocytes from DCMA patients to show reversible mitochondrial fragmentation and OPA1 isoform imbalance, suggesting SS-31 as a potential therapy.

Canadian Journal of Cardiology · Apr 1, 2020Peer-reviewedCell Biology

Early Inhibition of Retinoic Acid Signaling Rapidly Generates Cardiomyocytes Expressing Ventricular Markers from Human Induced Pluripotent Stem Cells

P. Machiraju, J. Huang, F. Iqbal, Y. Liu, X. Wang, C. Bousman, S. C. Greenway

This study shows that inhibiting retinoic acid signaling early in differentiation rapidly generates ventricular-like cardiomyocytes from human iPSCs with higher MLC2V expression.

bioRxiv · Nov 26, 2019 · PreprintCell Biology

SS-31 Reverses Mitochondrial Fragmentation in Fibroblasts from Patients with DCMA, a Mitochondrial Cardiomyopathy

P. Machiraju, X. Wang, R. Sabouny, J. Huang, T. Zhao, F. Iqbal, M. King, D. Prasher, A. Lodha, A. Ravandi, B. Argiropoulos, D. Sinasac, A. Khan, T. Shutt, S. C. Greenway

This study shows that SS-31 reverses mitochondrial fragmentation and increases ROS in DCMA fibroblasts, suggesting it as a potential therapy for this mitochondrial cardiomyopathy.

bioRxiv · Jun 17, 2019Cell Biology