Speaker: Allen Everett, Johns Hopkins University
Topic: Proteomics Discovery of Circulating Pulmonary Hypertension Biomarkers: IGF binding proteins are associated with disease severity
Date: Monday, February 15th, 2021
Time: 1:00 PM Presentation
Location: Webinar – see emails on Feb. 4 and 11 for invite link. Join the mailing list
Background: Pulmonary arterial hypertension is a progressive and fatal disease characterized by sustained elevations of pulmonary artery pressure. We lack circulating, diagnostic and prognostic markers to improve outcomes and develop new therapies.
Methods and Results: We performed proteomics discovery using high resolution mass spectrometry to identify new circulating biomarkers of pulmonary arterial hypertension. Plasma samples from patients with idiopathic pulmonary arterial hypertension (N=9, age 35.2 ± 11.2 years, 89% female) and normal controls (N=9, age 34.8 ± 10.6 years, 100% female) were processed by liquid chromatography/tandem mass spectrometry. A total of 826 (0.047 False Discovery Rate) idiopathic pulmonary arterial hypertension and 461 (0.087 False Discovery Rate) control proteins were identified. By Volcano plot, 153 proteins showed > 2 fold change, P<0.05. Carbonic anhydrase 2 (CA2) and Insulin like growth factor binding protein (IGFBP2) were top molecules by spectral counts. When all IGF axis molecules were examined, spectral counts for IGF1, IGF2, IGFBP1, IGFBP4, and IGFBP7 were also different between PAH and control. ELISA verification (N=41 PAH and N=39 controls) demonstrated that IGF1 and 2 were decreased and IGFBP1, 2, 4, 5, 7 and CA2 were increased in PAH. In association with disease severity, IGFBP2, 4 and 7 were associated with decreased 6MWD and IGFBP1, 2, 5 associated with PVR. IGFBP2, 4, and 7 were associated with survival (Kaplan Meier). CA2 was not associated with clinical severity.
Conclusions: We identified candidate plasma proteins that can distinguish PAH from control and verified CA2 and multiple members of the IGF axis associated with PAH and PAH severity. Suggesting that the IGF axis may play an important role in PAH pathogenesis and may be an important diagnostic for PAH, response to therapy and play a role in the pathogenesis of PAH.
Students and colleagues of Bob Cotter, who passed away more than 8 years ago, are establishing a travel fund in his memory to be administered by Johns Hopkins University. Bob was an active member of WBMSDG for more than three decades and many can share memories of him and his contributions to our field. One of the monthly group meetings was hosted by him at the School of Medicine in downtown Baltimore, preceded by a dinner at Bertha’s (of “Eat Bertha’s Mussels” fame) at Fells Point.
We invite you to become founding donors to the Robert J. Cotter Fund in the Department of Pharmacology and Molecular Sciences, at the Johns Hopkins School of Medicine. The department has deemed the Cotter Fund a top priority for philanthropy. It will support conference travel for students, postdocs, and junior faculty students, in the Dept. of Pharmacology. Bob greatly enjoyed engaging with colleagues and former mentees at meetings and sharing ideas. We believe that establishing this travel fund is a meaningful tribute and expression of our esteem and thanks to Bob for his decades of dedication to the career and scientific development of students, postdocs, and junior faculty. Bob was a faculty member at Hopkins for over three decades. None of us has to try very hard to remember Bob’s warmth, tremendous sense of humor and the great personal kindnesses he extended to all of us. He was also a masterful teacher, training dozens of students in mass spectrometry in his lab and in the classroom. Bob’s innovations in mass spectrometry have touched virtually every area of biomedicine.
As for direction on how to give, please use our IBBS giving website, https://secure.jhu.edu/form/ibbs, you would select “Other” and write in “Cotter Fund”. Alternatively, if you wish to send a check, we ask that you mail it to the following address:
Attn: Gift Processing
Johns Hopkins Medicine
750 East Pratt Street, 17th floor
Baltimore, MD 21202
*Memo Line: The Cotter Fund
If you would like information on how to make a gift or establish a bequest to the Fund or other planned gift such as an annuity trust, please contact Katie Sullivan, Associate Director of Development, Institute for Basic Biomedical Sciences, Johns Hopkins School of Medicine. She can be reached at firstname.lastname@example.org.
Speaker: Shao-En Ong, University of Washington
Topic: Kinome analyses for pharmacoproteomics
Date: Tuesday, January 19th, 2021
Time: 2:00 PM Presentation
Location: Webinar – see emails on Jan. 8 and 15 for invite link. Join the mailing list
Abstract: With few targeted therapies for genetic alterations in cancer, pharmacogenomics has been used to link genetic features with drug response. Because proteomics allows sensitive and direct measurements of cellular signaling pathways, we developed a novel pharmacoproteomics platform to identify kinase pathways correlating with drug response by combining kinobead-based activity profiling of 346 kinases and high-throughput screening of 299 kinase inhibitors in 17 hepatocellular carcinoma (HCC) cell lines. We identified novel kinases involved in drug resistance, that upon small molecule inhibition or genetic knockdown, rewired cellular signaling and restored chemosensitivity. We applied kinobead-MS in clinical HCC samples to identify signatures of drug sensitivity common to cell lines and patient tumors. Our broadly applicable approach identifies kinome features responsible for the activity of individual drugs and provides a resource for biomarker discovery and target deconvolution.
Speaker: Perry Wang, US Food and Drug Administration
Topic: Advanced Application of LC-MS and Challenges
Date: Monday, December 14th, 2020
Time: 2:00 pm Presentation
Location: Webinar – see emails on Dec. 3 and 10 for invite link. Join the mailing list
Abstract: Liquid chromatography-mass spectrometry (LC-MS) is the most sensitive analytical technique by far. It combines the physical separation power of liquid chromatography with the mass analysis capabilities of mass spectrometry. Because the individual capabilities of each technique are synergistically enhanced, the combination of liquid chromatography with mass spectrometry could be called a “perfect marriage” -liquid chromatography separates components in mixtures by affinity and mass spectrometry differentiates the components by mass. Therefore, LC-MS is applied in a broad field including biotechnology, environment monitoring, food safety, and pharmaceutical, agrochemical, and cosmetic industries. However, the technique often faces a great challenge -matrix effect, which can be observed as either a loss (ion suppression), or an increase (ion enhancement) in responses. The matrix effects affect the detection capability, precision and/or accuracy for the analytes of interest. Thus, the matrix effects should be evaluated during method development by comparing the response of a standard solution prepared in a sample matrix over the response in neat solutions or comparing the calibration-curve slope of standard solutions prepared in sample matrix over the slope of standards prepared in neat solutions. Unfortunately, a representative matrix is not always available for some studies, and how to evaluate and minimize the matrix effects are challenging. Different techniques to minimize matrix effects will be presented and the concept of matrix effect factor (MEF) will be introduced and discussed.
Speaker: Yansheng Liu, Yale University School of Medicine
Topic: DIA-MS and Its Application to Profiling Cellular Proteome and Proteoform Dynamics
Date: Monday, November 16th, 2020
Time: 2:00 pm Presentation
Location: Webinar – see emails on Nov. 5 and 12 for invite link. Join the mailing list
Abstract: The term ‘proteoform’ is now used to designate different molecular forms in which the protein product of a single gene can be found, including changes due to genetic variations, alternatively spliced RNA transcripts, and post-translational modifications. Although proteoform is normally studied by the top-down approach, we will discuss a new bottom-up strategy to investigate the site-specific modiforms. We will first review the data-independent acquisition mass spectrometry (DIA-MS) and its development in our group. We will then present how we use DIA-MS, pulse stable isotope-labeled amino acids in cells (pSILAC) approach, and genome-wide correlation analysis for quantifying both abundance and turnover rate of proteins in cancer cell models.