Albert Gough, PhD

Research Associate Professor Dept. of Computational and Systems Biology & Drug Discovery Institute

Albert Gough, PhD

gough@pitt.edu

Office: W947 BST
Phone: 412-383-5915
Fax:

Department of Computational and Systems Biology

Biosketch

PhD in Biology/Biophysics, Carnegie Mellon University

Presently my research is focused in 2 areas. First, is the development of, and computational analysis of data from a microfluidic 3D human liver model that uses fluorescent reagents, reporter cells (sentinels) and probes for direct functional readouts. Analyses of a broad array of real-time and off-line biochemical, mass spectrometric, and high content assays are used to profile functional effects and to develop predictive models. To support the modeling we have developed a microphysiology systems database (http://mps.csb.pitt.edu) where we are collecting the necessary reference data. A second major area of research is on the relationship between cellular heterogeneity, compound mechanism(s) of action and cell signaling pathways. We developed and published three indices that are used to quantify heterogeneity, and a QC metric for comparing and monitoring the consistency of the cellular distributions in assays, screens and large scale biology projects.

  1. Functional Coupling of Human Microphysiology Systems: Intestine, Liver, Kidney Proximal Tubule, Blood-Brain Barrier and Skeletal Muscle. Vernetti L, Gough A, Baetz N, Blutt S, Broughman JR, Brown JA, Foulke-Abel J, Hasan N, In J, Kelly E, Kovbasnjuk O, Repper J, Senutovitch N, Stabb J, Yeung C, Zachos NC, Donowitz M, Estes M, Himmelfarb J, Truskey G, Wikswo JP, Taylor DL. 2017. Sci Rep. Feb 8;7:42296. PubMed PMID: 28176881
  2. Control of oxygen tension recapitulates zone-specific functions in human liver microphysiology systems.Lee-Montiel F, George S, Gough A and Taylor DL. (2017). Expt Biol Med (April) DOI: 10.1177/1535370217703978
  3. A human liver microphysiology platform for investigating physiology, drug safety, and disease models. Vernetti LA, Senutovitch N, Boltz R, DeBiasio R, Ying Shun T, Gough A, Taylor DL. Exp Biol Med (Maywood). 2016;241(1):101-14. doi: 10.1177/1535370215592121. PubMed PMID: 26202373; PMCID: PMC4723301.
  4. Pointwise Mutual Information Quantifies Intra-Tumor Heterogeneity in Tissue Sections Labeled with Multiple Fluorescent Biomarkers.Spagnolo DM, Gyanchandani R, Al-Kofahi Y, Stern AM, Gough A, Meyer DE, Ginty F, Sarachan B, Fine J, Lee AV, Taylor DL, Chennubhotla SC. Journal of Pathology Informatics. 2016: In press.
  5. The Microphysiology Systems Database for Analyzing and Modeling Compound Interactions with Human and Animal Organ Models. Gough A, Vernetti L, Bergenthal L, Shun TY, Taylor DL. Applied In Vitro Toxicology. 2016;2(2):103-17. doi: 10.1089/aivt.2016.0011.
  6. A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens. Gough A, Shun TY, Lansing Taylor D, Schurdak M. Methods. 2016;96:12-26. doi: http://dx.doi.org/10.1016/j.ymeth.2015.10.007.
  7. Analysis with Cellular and Tissue Systems Biology: a Bridge between Cancer Cell Biology and Tissue-Based Diagnostics.Gough A, Lezon T, Faeder JR, Chennubhotla C, Murphy RF, Critchley-Thorne R, Taylor DL. High-Content In: Mendelsohn J, Howley PM, Israel MA, Gray JW, Thompson C, editors. The molecular basis of cancer. 4th ed. Philadelphia, PA: Saunders/Elsevier; 2015. p. 369-92.