Author

Akbar Shakoor

University of Utah

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ivana K. KimiD· 3 shared Leah A. OweniD· 3 shared Margaret M. DeAngelisiD· 3 shared Albert T. VitaleiD· 2 shared Michael H. FarkasiD· 2 shared Qingnan LiangiD· 2 shared Rui CheniD· 2 shared Yumei LiiD· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersGenomics

Ivana K. KimORCID

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3 papers

Recent·Most cited

Patterns of gene expression and allele-specific expression vary among macular tissues and clinical stages of Age-related Macular Degeneration

Treefa Shwani, Charles Zhang, Leah A. Owen, Akbar Shakoor, Albert T. Vitale, John H. Lillvis, Julie L. Barr, Parker Cromwell, Robert C. Finley, Nadine J. Husami, Elizabeth D. Au, Rylee A. Zavala, Elijah C. Graves, Sarah Xin Zhang, Michael H. Farkas, , Margaret M. DeAngelis

This study identifies differentially expressed genes and allele-specific expression in macular tissues across AMD stages, highlighting the RPE/choroid's role in disease pathophysiology.

Cells · Nov 21, 2023Peer-reviewedGenomics

A multi-omics atlas of the human retina at single-cell resolution

Qingnan Liang, Xuesen Cheng, Jun Wang, Leah A. Owen, Akbar Shakoor, John L. Lillvis, Charles Zhang, Michael H. Farkas, Ivana K. Kim, Yumei Li, Margaret M. DeAngelis, Rui Chen

This paper presents a comprehensive single-cell multi-omics atlas of the human retina, integrating RNA-seq and ATAC-seq data to identify cell-type-specific cis-element-gene relationships and transcription factor regulons.

Cell Genomics · Apr 11, 2023Peer-reviewedGenomics

Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling.

Qingnan Liang, Rachayata Dharmat, Leah A. Owen, Akbar Shakoor, Yumei Li, Sangbae Kim, Albert T. Vitale, Ivana K. Kim, Denise J. Morgan, Shaoheng Liang, Nathaniel Wu, Ken Chen, Margaret M. DeAngelis, Rui Chen

This study uses single-nuclei RNA-seq to profile human retinal tissue, identifying cell-type-specific gene expression and improving disease gene prioritization compared to bulk RNA-seq and mouse models.

Nature Communications · Dec 17, 2019Peer-reviewedGenomics