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Jorge Gomez Tejeda Zanudo, Ph.D.

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Biography
Pennsylvania State UniversityPh.D.05/2016Physics
Pennsylvania State UniversityPostdoc03/2019Systems Biology
Broad InstitutePostdocCurrentSystems Biology

Overview
I am a physicist and network scientist whose expertise and research are in the areas of network-based control theory, mathematical modeling of cancer, and systems biology. During my Ph.D. research and early postdoctoral work, I developed a mathematical network-based control theory framework to identify intervention targets in biological regulatory networks that, when manipulated, can control the outcome of the network (e.g. switch from an undesirable to a desirable phenotype). The results of this work were published in three publications wherein I am both the first and corresponding author, and which include one in PNAS and another in PLoS Comput. Biol. In parallel to my control theory research, I worked on collaborative projects with wet-lab cancer biology researchers to construct and analyze mathematical models of the signaling and transcriptional networks underlying the epithelial-to-mesenchymal transition (EMT), a process crucial for cancer metastasis. Our joint work identified and experimentally verified the joint activation of previously unconnected signaling pathways and the effectiveness of combinatorial interventions (using the network control framework I developed) that block or attenuate EMT. This work lead to two publications, one in Cancer Research, and a co-first author publication in npj Systems Biology and Applications. My main current research interest is in (i) developing data and knowledge-driven network-based models of oncogenic signaling and transcriptional regulation in cancer-related processes (EMT in cancer, drug resistance and sensitivity mechanisms in breast cancer), and (ii) applying and developing network control methods to identify interventions that can reprogram the transcriptional state of a cell.

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Painter CA, Jain E, Tomson BN, Dunphy M, Stoddard RE, Thomas BS, Damon AL, Shah S, Kim D, Gómez Tejeda Zañudo J, Hornick JL, Chen YL, Merriam P, Raut CP, Demetri GD, Van Tine BA, Lander ES, Golub TR, Wagle N. The Angiosarcoma Project: enabling genomic and clinical discoveries in a rare cancer through patient-partnered research. Nat Med. 2020 02; 26(2):181-187. PMID: 32042194.
    Citations: 27     Fields:    Translation:Humans
  2. Gómez Tejeda Zañudo J, Guinn MT, Farquhar K, Szenk M, Steinway SN, Balázsi G, Albert R. Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition. Phys Biol. 2019 03 07; 16(3):031002. PMID: 30654341.
    Citations: 13     Fields:    
  3. Yang G, Gómez Tejeda Zañudo J, Albert R. Target Control in Logical Models Using the Domain of Influence of Nodes. Front Physiol. 2018; 9:454. PMID: 29867523.
    Citations: 6     
  4. Gómez Tejeda Zañudo J, Scaltriti M, Albert R. A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer. Cancer Converg. 2017; 1(1):5. PMID: 29623959.
    Citations: 17     
  5. Albert R, Acharya BR, Jeon BW, Zañudo JGT, Zhu M, Osman K, Assmann SM. A new discrete dynamic model of ABA-induced stomatal closure predicts key feedback loops. PLoS Biol. 2017 Sep; 15(9):e2003451. PMID: 28937978.
    Citations: 13     Fields:    Translation:AnimalsCells
  6. Zañudo JGT, Yang G, Albert R. Structure-based control of complex networks with nonlinear dynamics. Proc Natl Acad Sci U S A. 2017 07 11; 114(28):7234-7239. PMID: 28655847.
    Citations: 34     Fields:    
  7. Steinway SN, Zañudo JGT, Michel PJ, Feith DJ, Loughran TP, Albert R. Combinatorial interventions inhibit TGFß-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes. NPJ Syst Biol Appl. 2015; 1:15014. PMID: 28725463.
    Citations: 31     Fields:    
  8. Zañudo JG, Albert R. Cell fate reprogramming by control of intracellular network dynamics. PLoS Comput Biol. 2015 Apr; 11(4):e1004193. PMID: 25849586.
    Citations: 40     Fields:    Translation:HumansCells
  9. Steinway SN, Zañudo JG, Ding W, Rountree CB, Feith DJ, Loughran TP, Albert R. Network modeling of TGFß signaling in hepatocellular carcinoma epithelial-to-mesenchymal transition reveals joint sonic hedgehog and Wnt pathway activation. Cancer Res. 2014 Nov 01; 74(21):5963-77. PMID: 25189528.
    Citations: 93     Fields:    Translation:HumansAnimalsCells
  10. Zañudo JG, Albert R. An effective network reduction approach to find the dynamical repertoire of discrete dynamic networks. Chaos. 2013 Jun; 23(2):025111. PMID: 23822509.
    Citations: 30     Fields:    Translation:HumansCells
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.