Author

A. A. Hakimi

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· 5

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2

Frequent Co-Authors

E. Reznik· 4 shared C. Tang· 3 shared R. R. Kotecha· 3 shared C.-H. Lee· 2 shared J. Coleman· 2 shared M. I. Carlo· 2 shared M. Zucker· 2 shared P. Russo· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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4 shared papersCancer Biology

E. Reznik

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Author profile →

5 papers

Recent·Most cited

The SLC1A1/EAAT3 Dicarboxylic Amino Acid Transporter is an Epigenetically Dysregulated Nutrient Carrier that Sustains Oncogenic Metabolic Programs

T. M. Grubb, J. Khatun, S. Matar, F. Ghandour, N. Dubasik, C. Salem, D. A. Orlando, M. G. Guenther, S. R. Martinez, P. Koochaki, J. A. Coker, C. Tang, E. Reznik, R. R. Kotecha, A. A. Hakimi, , A. A. Chakraborty

This study identifies SLC1A1/EAAT3 as an oncogenic transporter in ccRCC driven by H3K27ac, showing its role in sustaining metabolic programs and its potential as a therapeutic target.

bioRxiv · Sep 4, 2023 · PreprintCancer Biology

A Multimodal Atlas of Tumor Metabolism Reveals the Architecture of Gene-Metabolite Co-regulation

E. Benedetti, E. M. Liu, C. Tang, F. Kuo, M. Buyukozkan, T. Park, J. Park, F. Correa, A. A. Hakimi, A. M. Intlekofer, J. Krumsiek, E. Reznik

The paper constructs a multimodal tumor metabolism atlas to identify gene-metabolite co-regulation patterns across cancer types.

bioRxiv · Nov 23, 2022 · PreprintCancer Biology

Molecular Characterization of the Tumor Microenvironment in Renal Medullary Carcinoma

D. S. Tourigny, M. Zucker, M. Kim, P. Russo, J. Coleman, C.-H. Lee, M. I. Carlo, Y.-B. Chen, A. A. Hakimi, R. R. Kotecha, E. Reznik

This study characterizes the tumor microenvironment of renal medullary carcinoma using genomic, metabolic, and single-cell RNA-sequencing data, identifying key molecular features and potential therapeutic targets.

bioRxiv · Apr 28, 2022 · PreprintCancer Biology

Genomic and Metabolic Hallmarks of SDH- and FH-Deficient Renal Cell Carcinomas

A. Yoo, C. Tang, M. Zucker, K. Fitzgerald, P. M. Rappold, K. Weiss, B. Freeman, C.-H. Lee, N. Schultz, R. Motzer, P. Russo, J. Coleman, V. E. Reuter, Y.-B. Chen, M. I. Carlo, , E. Reznik

This study compares the genomic and metabolic features of SDH- and FH-deficient renal cell carcinomas, identifying distinct genetic and metabolic abnormalities.

bioRxiv · Jun 9, 2021Cancer Biology

9p21 Loss Defines the Evolutionary Patterns of Aggressive Renal Cell Carcinomas

F. Carbone, J. K. Huang, L. Perelli, E. Del Poggetto, T. Gutschner, H. Tomihara, M. Soeung, T. N. A. Lam, R. Xia, C. Zhu, X. Song, J. Zhang, K. Sircar, G. G. Malouf, A. Sgambato, , G. Genovese

This study establishes a mouse model of renal cell carcinoma showing that 9p21 loss drives aggressive tumor evolution with chromosomal instability and metastasis.

bioRxiv · Nov 3, 2020 · PreprintCancer Biology