Kevin A. Janes

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Primary Appointment

Professor, Biomedical Engineering

Education

  • BS, Biomedical Engineering, Johns Hopkins University, Baltimore, MD
  • PhD, Bioengineering, Massachusetts Institute of Technology, Cambridge, MA
  • Postdoc, Cell Biology, Harvard Medical School, Boston, MA

Research Disciplines

Biochemistry, Bioinformatics and Genomics, Biotechnology, Cancer Biology, Cardiovascular Biology, Computational Biology, Experimental Pathology, Infectious Diseases/Biodefense, Molecular Biology

Research Interests

Systems-biology approaches to cancer biology and virology.

Research Description

Changes in cellular behavior underlie development, disease, and homeostasis. The response of cells to external factors depends upon the synthesis, degradation, and modification of genes and proteins. These regulated events act as "signals" for coordinating cell function. Intracellular signaling is highly dynamic, interconnected, and context dependent, making it difficult to predict how any one signal contributes to the control of cell fate. Understanding how signaling networks enable cells to respond to their environment is important for diseases such as cancer, where the molecular "signal processing" has gone awry and cellular responses are inappropriate.
Our group develops experimental and computational techniques for quantitatively monitoring signaling networks as they become activated by diverse stimuli and perturbations. These tools allow us to collect complex datasets, which can be analyzed by "data-driven" modeling to address network-level questions about signal transduction. Fundamentally, our approach is problem driven, involving techniques that range from enzyme-activity assays in cell populations to gene-expression measurements in individual microdissected cells. We are currently interested in studying the tissue responses of colonic epithelia and the morphogenetic responses of 3D-cultured mammary epithelia in vitro.

Personal Statement

Changes in cellular behavior underlie development, disease, and homeostasis. The response of cells to external factors depends upon the synthesis, degradation, and modification of genes and proteins. These regulated events act as "signals" for coordinating cell function. Intracellular signaling is highly dynamic, interconnected, and context dependent, making it difficult to predict how any one signal contributes to the control of cell fate. Understanding how signaling networks enable cells to respond to their environment is important for diseases such as cancer, where the molecular "signal processing" has gone awry and cellular responses are inappropriate.
Our group develops experimental and computational techniques for quantitatively monitoring signaling networks as they become activated by diverse stimuli and perturbations. These tools allow us to collect complex datasets, which can be analyzed by "data-driven" modeling to address network-level questions about signal transduction. Fundamentally, our approach is problem driven, involving techniques that range from enzyme-activity assays in cell populations to gene-expression measurements in individual microdissected cells. We are currently interested in studying the tissue responses of colonic epithelia and the morphogenetic responses of 3D-cultured mammary epithelia in vitro.

Training

  • Basic Cardiovascular Research Training Grant
  • Biodefense & Infectious Diseases Short-Term Training to Increase Diversity in Biomedical Sciences
  • Biotechnology Training Grant
  • Cancer Research Training in Molecular Biology
  • Training in Cell and Molecular Biology
  • Training in the Pharmacological Sciences

Selected Publications

Singh S, Wang L, Schaff DL, Sutcliffe MD, Koeppel AF, Kim J, Onengut-Gumuscu S, Park KS, Zong H, Janes KA, In situ 10-cell RNA sequencing in tissue and tumor biopsy samples., 2019; Scientific reports. 9(1) 4836. PMID: 30894605 | PMCID: PMC6426952

Borten MA, Bajikar SS, Sasaki N, Clevers H, Janes KA, Automated brightfield morphometry of 3D organoid populations by OrganoSeg., 2018; Scientific reports. 8(1) 5319. PMID: 29593296 | PMCID: PMC5871765

Janes KA, Chandran PL, Ford RM, Lazzara MJ, Papin JA, Peirce SM, Saucerman JJ, Lauffenburger DA, An engineering design approach to systems biology., 2017; Integrative biology : quantitative biosciences from nano to macro. 9(7) 574-583. PMID: 28590470 | PMCID: PMC6534349

Bajikar SS, Wang CC, Borten MA, Pereira EJ, Atkins KA, Janes KA, Tumor-Suppressor Inactivation of GDF11 Occurs by Precursor Sequestration in Triple-Negative Breast Cancer., 2017; Developmental cell. 43(4) 418-435.e13. PMID: 29161592 | PMCID: PMC5726799

Shah M, Smolko CM, Kinicki S, Chapman ZD, Brautigan DL, Janes KA, Profiling Subcellular Protein Phosphatase Responses to Coxsackievirus B3 Infection of Cardiomyocytes., 2017; Molecular & cellular proteomics : MCP. 16(4) S244-S262. PMID: 28174228 | PMCID: PMC5393398

Chitforoushzadeh Z, Ye Z, Sheng Z, LaRue S, Fry RC, Lauffenburger DA, Janes KA, TNF-insulin crosstalk at the transcription factor GATA6 is revealed by a model that links signaling and transcriptomic data tensors., 2016; Science signaling. 9(431) ra59. PMID: 27273097 | PMCID: PMC4914393

Jensen KJ, Moyer CB, Janes KA, Network Architecture Predisposes an Enzyme to Either Pharmacologic or Genetic Targeting., 2016; Cell systems. 2(2) 112-121. PMID: 26942229 | PMCID: PMC4770809

Janes KA, An analysis of critical factors for quantitative immunoblotting., 2015; Science signaling. 8(371) rs2. PMID: 25852189 | PMCID: PMC4401487

Wang CC, Bajikar SS, Jamal L, Atkins KA, Janes KA, A time- and matrix-dependent TGFBR3-JUND-KRT5 regulatory circuit in single breast epithelial cells and basal-like premalignancies., 2014; Nature cell biology. 16(4) 345-56. PMID: 24658685 | PMCID: PMC4035356

Bajikar SS, Fuchs C, Roller A, Theis FJ, Janes KA, Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles., 2014; Proceedings of the National Academy of Sciences of the United States of America. 111(5) E626-35. PMID: 24449900 | PMCID: PMC3918796

Wang L, Janes KA, Stochastic profiling of transcriptional regulatory heterogeneities in tissues, tumors and cultured cells., 2013; Nature protocols. 8(2) 282-301. PMID: 23306461 | PMCID: PMC3818581

Bajikar SS, Janes KA, Multiscale models of cell signaling., 2012; Annals of biomedical engineering. 40(11) 2319-27. PMID: 22476894 | PMCID: PMC3436998

Jensen KJ, Janes KA, Modeling the latent dimensions of multivariate signaling datasets., 2012; Physical biology. 9(4) 045004. PMID: 22871687 | PMCID: PMC3769421

Wang L, Brugge JS, Janes KA, Intersection of FOXO- and RUNX1-mediated gene expression programs in single breast epithelial cells during morphogenesis and tumor progression., 2011; Proceedings of the National Academy of Sciences of the United States of America. 108(40) E803-12. PMID: 21873240 | PMCID: PMC3189061

Wang CC, Jamal L, Janes KA, Normal morphogenesis of epithelial tissues and progression of epithelial tumors., 2011; Wiley interdisciplinary reviews. Systems biology and medicine. 4(1) 51-78. PMID: 21898857 | PMCID: PMC3242861

Janes KA, RUNX1 and its understudied role in breast cancer., 2011; Cell cycle (Georgetown, Tex.). 10(20) 3461-5. PMID: 22024923 | PMCID: PMC3266176

Janes KA, Paring down signaling complexity., 2010; Nature biotechnology. 28(7) 681-2. PMID: 20622836 | PMCID: PMC3180998

Janes KA, Wang CC, Holmberg KJ, Cabral K, Brugge JS, Identifying single-cell molecular programs by stochastic profiling., 2010; Nature methods. 7(4) 311-7. PMID: 20228812 | PMCID: PMC2849806

Garmaroudi FS, Marchant D, Si X, Khalili A, Bashashati A, Wong BW, Tabet A, Ng RT, Murphy K, Luo H, Janes KA, McManus BM, Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection., 2010; Proceedings of the National Academy of Sciences of the United States of America. 107(39) 17053-8. PMID: 20833815 | PMCID: PMC2947887

Janes KA, Reinhardt HC, Yaffe MB, Cytokine-induced signaling networks prioritize dynamic range over signal strength., 2008; Cell. 135(2) 343-54. PMID: 18957207 | PMCID: PMC2635014