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Stefan Bekiranov

Stefan Bekiranov

Professor, Biochemistry and Molecular Genetics

Primary Location
PO Box 800733
1340 JPA Pinn Hall Room 6069
Charlottesville, VA 22908
Primary Phone Number
924.166.7
Fax Number
434.924.5069
Email
[email protected]

Bio & Overview

Machine Learning/AI for Biomedical Applications: Development of innovative advanced machine learning approaches including knowledge-guided meta-learning explainable machine learning frameworks that take advantage of the relationships between genes, cell types, clinical variables, cardiovascular disease (CVD), cancers, etc. to build models that can predict clinical outcomes (e.g., CVD or cancer patient survival using multi-omics data as input) or functional genomic outputs (e.g., gene expression levels using regulatory factor data as input). I am developing these approaches independently as well as in collaboration with Dr. Aidong Zhang in UVA’s Computer Science department. My lab has developed and applied machine learning approaches—non-negative matrix factorization, regression (e.g., MARS, multi-linear, lasso), unsupervised clustering, etc.—using epigenomic data (i.e., genome-wide profiles of histone modifications, histone variants, DNA methylation, DNAse hypersensitive sites, nucleosome occupancy and transcription factor binding) to elucidate how epigenomic factors control processes on the DNA template including transcription and DNA replication. With, Dr. Coleen McNamara, we have also recently developed, tested and compared deep learning and ensemble tree models that predict risk of cardiovascular disease (CVD) using standard clinical variables and a CVD SNP as input. I am currently the Director of Bioinformatics of the Precision Immunomedicine (iPRIME) initiative whose broad goals are to develop precision medicine approaches and predict risk of various CVD endpoints by generating and performing AI/ML and integrative analysis of single-cell immune cell signature (derived from mass cytometry), genome-wide SNP, advanced imaging and clinical data. Mathematical Modeling of Transcription Factor-Chromatin Binding Dynamics: Development of deterministic and stochastic mathematical models of transcription factor binding to chromatin and nucleosome turnover using data from assays which measure the dynamics of these events in vivo and enable extraction of kinetic parameters. These assays include crosslinking kinetic (CLK), which Dr. David Auble and I developed, Competition ChIP, Anchor Away and Auxin-Inducible Degron Systems. The long-term goals of this project are to develop stochastic mathematical models of pre-initiation complex (PIC) formation, determine the epigenetic and genetic factors that regulate PIC dynamics and integrate these models with stochastic models of transcription whose dynamics have been characterized by highly stochastic, infrequent bursts from imaging and scRNA-seq data. Quantum Computing and Quantum Machine Learning: Development and implementation of quantum machine learning algorithms for genomic applications. My lab recently developed an inner product-based quantum classifier which we show is exponentially more efficient compared to its classical counterpart and implement on 5-qubit and 14-qubit IBM quantum computers. In the short term, we are extending this work to building and implementing kernel-based quantum classifiers with more complex decision boundaries as well as addressing the data input problem (e.g., by encoding data in phases of complex probability amplitudes). Our long-term goals are to develop and implement quantum machine learning algorithms that demonstrate quantum advantage. Notably, this work has gained national and international interest in that developing quantum computing algorithms for the biomedical/genomics domain is currently extremely rare.

Academic Information

Department
Biochemistry and Molecular Genetics
Academic Title
Associate Professor

Primary Education

  • BS, Microwave Engineering, University of California, Los Angeles, 1986
  • PhD, Theoretical Condensed Matter Physics, University of California, Santa Barbara, 1996
  • Postdoc, Theoretical Condensed Matter Physics, University of Maryland, 1998
  • Postdoc, Computational Biology, The Rockefeller University, 2001

Other Appointments

  • Molecular Physiology and Biological Physics
  • Associate Professor, Biomedical Engineering
  • Associate Professor, BMBG
  • Associate Professor, SCBB

Other Affiliations

  • Member, Molecular Genetics and Epigenetics Program
  • MSTP
  • Associate Professor, BIMS
  • Biophysics & Structural Biology

Research Interests

Computational Biology; Bioinformatics; Precision Medicine; Machine Learning/AI; Quantum Computing

Research Disciplines

  • Bioinformatics and Genomics
  • Biophysics
  • Biophysics & Structural Biology
  • Cancer Biology
  • Cardiovascular Biology
  • Computational Biology
  • Data Science in Medicine
  • Epigenetics
  • Molecular Biology
  • Translational Science

Research Opportunities

  • Bioinformatics & Genomics
  • Biophysics & Structural Biology
  • Cancer Biology
  • Computational Biology
  • Epigenetics
  • Molecular Biology

PhD Programs

  • Biochemistry & Molecular Genetics
  • Computational Biology

Selected Publications

2024

Shamsuzzaman, S., Deaton, R. A., Salamon, A., Doviak, H., Serbulea, V., Milosek, V. M., . . . Owens, G. K. (2024). Novel Mouse Model of Myocardial Infarction, Plaque Rupture, and Stroke Shows Improved Survival With Myeloperoxidase Inhibition.. Circulation. doi:10.1161/circulationaha.123.067931

Cho, H. J., Wang, Z., Cong, Y., Bekiranov, S., Zhang, A., & Zang, C. (2024). DARDN: A Deep-Learning Approach for CTCF Binding Sequence Classification and Oncogenic Regulatory Feature Discovery. GENES, 15(2). doi:10.3390/genes15020144

2022

Kim, J., & Bekiranov, S. (2022). Generalization Performance of Quantum Metric Learning Classifiers. BIOMOLECULES, 12(11). doi:10.3390/biom12111576

Young, A., Bradley, L. A., Farrar, E., Bilcheck, H. O., Tkachenko, S., Saucerman, J. J., . . . Wolf, M. J. (2022). Inhibition of DYRK1a Enhances Cardiomyocyte Cycling After Myocardial Infarction. CIRCULATION RESEARCH, 130(9), 1345-1361. doi:10.1161/CIRCRESAHA.121.320005

2021

Kwak, M., Erdag, G., Leick, K. M., Bekiranov, S., Engelhard, V. H., & Slingluff, C. L. (2021). Associations of immune cell homing gene signatures and infiltrates of lymphocyte subsets in human melanomas: discordance with CD163+ myeloid cell infiltrates. JOURNAL OF TRANSLATIONAL MEDICINE, 19(1). doi:10.1186/s12967-021-03044-5

Lehman, C. E., Spencer, A., Hall, S., Shaw, J. J. P., Wulfkuhle, J., Petricoin, E. F., . . . Gioeli, D. (2021). IGF1R and Src inhibition induce synergistic cytotoxicity in HNSCC through inhibition of FAK. SCIENTIFIC REPORTS, 11(1). doi:10.1038/s41598-021-90289-1

Rapaport, F., Neelamraju, Y., Baslan, T., Hassane, D., Gruszczynska, A., Robert de Massy, M., . . . Garrett-Bakelman, F. E. (2021). Genomic and evolutionary portraits of disease relapse in acute myeloid leukemia. LEUKEMIA, 35(9), 2688-2692. doi:10.1038/s41375-021-01153-0

Emani, P. S., Warrell, J., Anticevic, A., Bekiranov, S., Gandal, M., McConnell, M. J., . . . Harrow, A. W. (2021). Quantum computing at the frontiers of biological sciences. NATURE METHODS, 18(7), 701-709. doi:10.1038/s41592-020-01004-3

2020

Pattarabanjird, T., Cress, C., Nguyen, A., Taylor, A., Bekiranov, S., & McNamara, C. (2020). A Machine Learning Model Utilizing a Novel SNP Shows Enhanced Prediction of Coronary Artery Disease Severity. GENES, 11(12). doi:10.3390/genes11121446

Lawson, J. T., Smith, J. P., Bekiranov, S., Garrett-Bakelman, F. E., & Sheffield, N. C. (2020). COCOA: coordinate covariation analysis of epigenetic heterogeneity. GENOME BIOLOGY, 21(1). doi:10.1186/s13059-020-02139-4

Alencar, G. F., Owsiany, K. M., Karnewar, S., Sukhavasi, K., Mocci, G., Nguyen, A. T., . . . Owens, G. K. (2020). Stem Cell Pluripotency Genes Klf4 and Oct4 Regulate Complex SMC Phenotypic Changes Critical in Late-Stage Atherosclerotic Lesion Pathogenesis. CIRCULATION, 142(21), 2045-2059. doi:10.1161/CIRCULATIONAHA.120.046672

Grabski, D. F., Ratan, A., Gray, L. R., Bekiranov, S., Rekosh, D., Hammarskjold, M. -L., & Rasmussen, S. K. (2021). Upregulation of human endogenous retrovirus-K (HML-2) mRNAs in hepatoblastoma: Identification of potential new immunotherapeutic targets and biomarkers. JOURNAL OF PEDIATRIC SURGERY, 56(2), 286-292. doi:10.1016/j.jpedsurg.2020.05.022

Singh, S., Szlachta, K., Manukyan, A., Raimer, H. M., Dinda, M., Bekiranov, S., & Wang, Y. -H. (2020). Pausing sites of RNA polymerase II on actively transcribed genes are enriched in DNA double-stranded breaks. JOURNAL OF BIOLOGICAL CHEMISTRY, 295(12), 3990-4000. doi:10.1074/jbc.RA119.011665

Kathuria, K., Ratan, A., McConnell, M., & Bekiranov, S. (2020). Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne. QUANTUM MACHINE INTELLIGENCE, 2(1). doi:10.1007/s42484-020-00017-7

2019

Gray, L. R., Jackson, R. E., Jackson, P. E. H., Bekiranov, S., Rekosh, D., & Hammarskjold, M. -L. (2019). HIV-1 Rev interacts with HERV-K RcREs present in the human genome and promotes export of unspliced HERV-K proviral RNA. RETROVIROLOGY, 16(1). doi:10.1186/s12977-019-0505-y

Lehman, C. E., Khalil, A. A., Axelrod, M. J., Dougherty, M. I., Schoeff, S. S., Taniguchi, L. E., . . . Jameson, M. J. (2020). Antitumor effect of insulin-like growth factor-1 receptor inhibition in head and neck squamous cell carcinoma. LARYNGOSCOPE, 130(6), 1470-1478. doi:10.1002/lary.28236

Li, M., Fine, R. D., Dinda, M., Bekiranov, S., & Smith, J. S. (2019). A Sir2-regulated locus control region in the recombination enhancer of Saccharomyces cerevisiae specifies chromosome III structure. PLOS GENETICS, 15(8). doi:10.1371/journal.pgen.1008339

Szymura, S. J., Zaemes, J. P., Allison, D. F., Clift, S. H., D'Innocenzi, J. M., Gray, L. G., . . . Mayo, M. W. (2019). NF-κB upregulates glutamine-fructose-6-phosphate transaminase 2 to promote migration in non-small cell lung cancer. CELL COMMUNICATION AND SIGNALING, 17. doi:10.1186/s12964-019-0335-5

Chronister, W. D., Burbulis, I. E., Wierman, M. B., Wolpert, M. J., Haakenson, M. F., Smith, A. C. B., . . . McConnell, M. J. (2019). Neurons with Complex Karyotypes Are Rare in Aged Human Neocortex. CELL REPORTS, 26(4), 825-+. doi:10.1016/j.celrep.2018.12.107

Leick, K. M., Obeid, J. M., Bekiranov, S., & Slingluff, C. L. J. (2019). Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma. ONCOIMMUNOLOGY, 8(12). doi:10.1080/2162402X.2019.1665978

2018

Woo, L. A., Tkachenko, S., Ding, M., Plowright, A. T., Engkvist, O., Andersson, H., . . . Saucerman, J. J. (2019). High-content phenotypic assay for proliferation of human iPSC-derived cardiomyocytes identifies L-type calcium channels as targets. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY, 127, 204-214. doi:10.1016/j.yjmcc.2018.12.015

Uchiyama, R., Kupkova, K., Shetty, S. J., Linford, A. S., Pray-Grant, M. G., Wagar, L. E., . . . Auble, D. T. (2018). Histone H3 lysine 4 methylation signature associated with human undernutrition. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 115(48), E11264-E11273. doi:10.1073/pnas.1722125115

Szlachta, K., Thys, R. G., Atkin, N. D., Pierce, L. C. T., Bekiranov, S., & Wang, Y. -H. (2018). Alternative DNA secondary structure formation affects RNA polymerase II promoter-proximal pausing in human. GENOME BIOLOGY, 19. doi:10.1186/s13059-018-1463-8

Hoffman, E. A., Zaidi, H., Shetty, S. J., Bekiranov, S., & Auble, D. T. (2018). An Improved Method for Measuring Chromatin-binding Dynamics Using Time-dependent Formaldehyde Crosslinking. BIO-PROTOCOL, 8(4). doi:10.21769/BioProtoc.2905

2017

Zaidi, H., Hoffman, E. A., Shetty, S. J., Bekiranov, S., & Auble, D. T. (2017). Second-generation method for analysis of chromatin binding with formaldehyde-cross-linking kinetics. JOURNAL OF BIOLOGICAL CHEMISTRY, 292(47), 19338-19355. doi:10.1074/jbc.M117.796441

Jayappa, K. D., Portell, C. A., Gordon, V. L., Capaldo, B. J., Bekiranov, S., Axelrod, M. J., . . . Weber, M. J. (2017). Microenvironmental agonists generate de novo phenotypic resistance to combined ibrutinib plus venetoclax in CLL and MCL (vol 14, pg 933, 2017). BLOOD ADVANCES, 1(19), 1537. doi:10.1182/bloodadvances.2017011148

Jayappa, K. D., Portell, C. A., Gordon, V. L., Capaldo, B. J., Bekiranov, S., Axelrod, M. J., . . . Weber, M. J. (2017). Microenvironmental agonists generate de novo phenotypic resistance to combined ibrutinib plus venetoclax in CLL and MCL. BLOOD ADVANCES, 1(14), 933-946. doi:10.1182/bloodadvances.2016004176

Chen, X., Poorey, K., Carver, M. N., Mueller, U., Bekiranov, S., Auble, D. T., & Brow, D. A. (2017). Transcriptomes of six mutants in the Sen1 pathway reveal combinatorial control of transcription termination across the Saccharomyces cerevisiae genome. PLOS GENETICS, 13(6). doi:10.1371/journal.pgen.1006863

Zaidi, H. A., Auble, D. T., & Bekiranov, S. (2017). RNA synthesis is associated with multiple TBP-chromatin binding events. SCIENTIFIC REPORTS, 7. doi:10.1038/srep39631

2016

True, J. D., Muldoon, J. J., Carver, M. N., Poorey, K., Shetty, S. J., Bekiranov, S., & Auble, D. T. (2016). The Modifier of Transcription 1 (Mot1) ATPase and Spt16 Histone Chaperone Co-regulate Transcription through Preinitiation Complex Assembly and Nucleosome Organization.. The Journal of biological chemistry, 291(29), 15307-15319. doi:10.1074/jbc.m116.735134

Cherepanova, O. A., Gomez, D., Shankman, L. S., Swiatlowska, P., Williams, J., Sarmento, O. F., . . . Owens, G. K. (2016). Activation of the pluripotency factor OCT4 in smooth muscle cells is atheroprotective. NATURE MEDICINE, 22(6), 657-+. doi:10.1038/nm.4109

True, J. D., Muldoon, J. J., Carver, M. N., Poorey, K., Shetty, S. J., Bekiranov, S., & Auble, D. T. (2016). The Modifier of Transcription 1 (Mott) ATPase and Spt16 Histone Chaperone Co-regulate Transcription through Preinitiation Complex Assembly and Nucleosome Organization. JOURNAL OF BIOLOGICAL CHEMISTRY, 291(29), 15307-15319. doi:10.1074/jbc.M116.735134

2015

Roller, D. G., Capaldo, B., Bekiranov, S., Mackey, A. J., Conaway, M. R., Petricoin, E. F., . . . Weber, M. J. (2016). Combinatorial drug screening and molecular profiling reveal diverse mechanisms of intrinsic and adaptive resistance to BRAF inhibition in V600E BRAF mutant melanomas. ONCOTARGET, 7(3), 2734-2753. doi:10.18632/oncotarget.6548

Wierman, M. B., Matecic, M., Valsakumar, V., Li, M., Smith, D. L. J., Bekiranov, S., & Smith, J. S. (2015). Functional genomic analysis reveals overlapping and distinct features of chronologically long-lived yeast populations. AGING-US, 7(3), 177-194. doi:10.18632/aging.100729

Anaya, J., Reon, B., Chen, W. -M., Bekiranov, S., & Duna, A. (2016). A pan-cancer analysis of prognostic genesl. PEERJ, 4. doi:10.7717/peerj.1499

Cieslik, M., & Bekiranov, S. (2015). Genome-wide predictors of NF-κB recruitment and transcriptional activity. BIODATA MINING, 8. doi:10.1186/s13040-015-0071-3

Capaldo, B. J., Roller, D., Axelrod, M. J., Koeppel, A. F., Petricoin, E. F., Slingluff, C. L. J., . . . Bekiranov, S. (2015). Systems Analysis of Adaptive Responses to MAP Kinase Pathway Blockade in BRAF Mutant Melanoma. PLOS ONE, 10(9). doi:10.1371/journal.pone.0138210

2014

Wamsley, J. J., Kumar, M., Allison, D. F., Clift, S. H., Holzknecht, C. M., Szymura, S. J., . . . Mayo, M. W. (2015). Activin Upregulation by NF-κB Is Required to Maintain Mesenchymal Features of Cancer Stem-like Cells in Non-Small Cell Lung Cancer. CANCER RESEARCH, 75(2), 426-435. doi:10.1158/0008-5472.CAN-13-2702

Viswanathan, R., Hoffman, E. A., Shetty, S. J., Bekiranov, S., & Auble, D. T. (2014). Analysis of chromatin binding dynamics using the crosslinking kinetics (CLK) method. METHODS, 70(2-3), 97-107. doi:10.1016/j.ymeth.2014.10.029

Cieslik, M., & Bekiranov, S. (2014). Combinatorial epigenetic patterns as quantitative predictors of chromatin biology. BMC GENOMICS, 15. doi:10.1186/1471-2164-15-76

Cohen, J. N., Tewalt, E. F., Rouhani, S. J., Buonomo, E. L., Bruce, A. N., Xu, X., . . . Engelhard, V. H. (2014). Tolerogenic Properties of Lymphatic Endothelial Cells Are Controlled by the Lymph Node Microenvironment. PLOS ONE, 9(2). doi:10.1371/journal.pone.0087740

2013

Poorey, K., Viswanathan, R., Carver, M. N., Karpova, T. S., Cirimotich, S. M., McNally, J. G., . . . Auble, D. T. (2013). Measuring Chromatin Interaction Dynamics on the Second Time Scale at Single-Copy Genes. SCIENCE, 342(6156), 369-372. doi:10.1126/science.1242369

Cieslik, M., Hoang, S. A., Baranova, N., Chodaparambil, S., Kumar, M., Allison, D. F., . . . Bekiranov, S. (2013). Epigenetic coordination of signaling pathways during the epithelial-mesenchymal transition. EPIGENETICS & CHROMATIN, 6. doi:10.1186/1756-8935-6-28

Mesner, L. D., Valsakumar, V., Cieslik, M., Pickin, R., Hamlin, J. L., & Bekiranov, S. (2013). Bubble-seq analysis of the human genome reveals distinct chromatin-mediated mechanisms for regulating early- and late-firing origins. GENOME RESEARCH, 23(11), 1774-1788. doi:10.1101/gr.155218.113

Li, M., Valsakumar, V., Poorey, K., Bekiranov, S., & Smith, J. S. (2013). Genome-wide analysis of functional sirtuin chromatin targets in yeast. GENOME BIOLOGY, 14(5). doi:10.1186/gb-2013-14-5-r48

Wolstenholme, J. T., Rissman, E. F., & Bekiranov, S. (2013). Sexual differentiation in the developing mouse brain: contributions of sex chromosome genes. GENES BRAIN AND BEHAVIOR, 12(2), 166-180. doi:10.1111/gbb.12010

Kumar, M., Allison, D. F., Baranova, N. N., Wamsley, J. J., Katz, A. J., Bekiranov, S., . . . Mayo, M. W. (2013). NF-κB Regulates Mesenchymal Transition for the Induction of Non-Small Cell Lung Cancer Initiating Cells. PLOS ONE, 8(7). doi:10.1371/journal.pone.0068597

Hoang, S. A., & Bekiranov, S. (2013). The Network Architecture of the Saccharomyces cerevisiae Genome. PLOS ONE, 8(12). doi:10.1371/journal.pone.0081972

2012

McCullough, S. D., Xu, X., Dent, S. Y. R., Bekiranov, S., Roeder, R. G., & Grant, P. A. (2012). Reelin is a target of polyglutamine expanded ataxin-7 in human spinocerebellar ataxia type 7 (SCA7) astrocytes. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 109(52), 21319-21324. doi:10.1073/pnas.1218331110

Hoang, S., Cieślik, M., Chodaparambil, S., Baranova, N., Kumar, M., Allison, D., . . . Bekiranov, S. (2012). Epigenetic reprogramming in the epithelial-to-mesenchymal transition. BMC Proceedings, 6(S6). doi:10.1186/1753-6561-6-s6-o28

2011

Hoang, S. A., Xu, X., & Bekiranov, S. (2011). Quantification of histone modification ChIP-seq enrichment for data mining and machine learning applications.. BMC research notes, 4, 288. doi:10.1186/1756-0500-4-288

Gioeli, D., Wunderlich, W., Sebolt-Leopold, J., Bekiranov, S., Wulfkuhle, J. D., Petricoin, E. F. I. I. I., . . . Weber, M. J. (2011). Compensatory Pathways Induced by MEK Inhibition Are Effective Drug Targets for Combination Therapy against Castration-Resistant Prostate Cancer. MOLECULAR CANCER THERAPEUTICS, 10(9), 1581-1590. doi:10.1158/1535-7163.MCT-10-1033

Hyland, E. M., Molina, H., Poorey, K., Jie, C., Xie, Z., Dai, J., . . . Boeke, J. D. (2011). An evolutionarily 'young' lysine residue in histone H3 attenuates transcriptional output in Saccharomyces cerevisiae. GENES & DEVELOPMENT, 25(12), 1306-1319. doi:10.1101/gad.2050311

Smith, S. C., Havaleshko, D. M., Moon, K., Baras, A. S., Lee, J., Bekiranov, S., . . . Theodorescu, D. (2011). Use of Yeast Chemigenomics and COXEN Informatics in Preclinical Evaluation of Anticancer Agents. NEOPLASIA, 13(1), 72-U101. doi:10.1593/neo.101214

2010

Mesner, L. D., Valsakumar, V., Karnani, N., Dutta, A., Hamlin, J. L., & Bekiranov, S. (2011). Bubble-chip analysis of human origin distributions demonstrates on a genomic scale significant clustering into zones and significant association with transcription. GENOME RESEARCH, 21(3), 377-389. doi:10.1101/gr.111328.110

Stolzenberg, D. S., Grant, P. A., & Bekiranov, S. (2011). Epigenetic methodologies for behavioral scientists. HORMONES AND BEHAVIOR, 59(3), 407-416. doi:10.1016/j.yhbeh.2010.10.007

Poorey, K., Sprouse, R. O., Wells, M. N., Viswanathan, R., Bekiranov, S., & Auble, D. T. (2010). RNA synthesis precision is regulated by preinitiation complex turnover. GENOME RESEARCH, 20(12), 1679-1688. doi:10.1101/gr.109504.110

Park, J. H., Bonthius, P. J., Tsai, H. -W., Bekiranov, S., & Rissman, E. F. (2010). Amyloid β Precursor Protein Regulates Male Sexual Behavior. JOURNAL OF NEUROSCIENCE, 30(30), 9967-9972. doi:10.1523/JNEUROSCI.1988-10.2010

Xu, X., Hoang, S., Mayo, M. W., & Bekiranov, S. (2010). Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression. BMC BIOINFORMATICS, 11. doi:10.1186/1471-2105-11-396

Li, M., Petteys, B. J., McClure, J. M., Valsakumar, V., Bekiranov, S., Frank, E. L., & Smith, J. S. (2010). Thiamine Biosynthesis in Saccharomyces cerevisiae Is Regulated by the NAD+- Dependent Histone Deacetylase Hst1. MOLECULAR AND CELLULAR BIOLOGY, 30(13), 3329-3341. doi:10.1128/MCB.01590-09

Amos, P. J., Kapur, S. K., Stapor, P. C., Shang, H., Bekiranov, S., Khurgel, M., . . . Katz, A. J. (2010). Human Adipose-Derived Stromal Cells Accelerate Diabetic Wound Healing: Impact of Cell Formulation and Delivery. TISSUE ENGINEERING PART A, 16(5), 1595-1606. doi:10.1089/ten.tea.2009.0616

Matecic, M., Smith, D. L. J., Pan, X., Maqani, N., Bekiranov, S., Boeke, J. D., & Smith, J. S. (2010). A Microarray-Based Genetic Screen for Yeast Chronological Aging Factors. PLOS GENETICS, 6(4). doi:10.1371/journal.pgen.1000921