Research Publications

  1. Proteotranscriptomic analysis reveals stage specific changes in the molecular landscape of clear-cell renal cell carcinoma. Neely B.A., Wilkins C., Marlow L.A, Malyarenko D., Kim Y., Ignatchenko A., Sasinowska H., Sasinowski M., Nyalwidhe J.O., Copland J.A., Drake R.R. (PLoS One, 2016)

  2. From value assessment to value co-creation: Informing clinical decision-making with medical claims data. Thompson S., Varvel S., Sasinowski M., Burke J.P. (Big Data, 2016)

  3. Comparison between cardiometabolic risk biomarkers in a clinical laboratory patient cohort and the US adult population. Wolin E., White J., Pottala J.V., Sasinowski M., Dall T., Dayspring T.D., McConnell J.P., Hoefner D.M., Warnick G.R., Harris W.S. (Journal of Clinical Lipidology, 2016)

  4. A Swedish population-based study of adverse birth outcomes among pregnant women treated with buprenorphine or methadone: Preliminary findings. Wurst K.E., Zedler B.K., Joyce A.R., Sasinowski M., Murrelle E.L.. (Substance Abuse: Research and Treatment, 2016)

  5. Biomarkers of Cholesterol Homeostasis in a Clinical Laboratory Database Sample Comprising 667,718 Patients. Dayspring T.D., Varvel S.A., Ghaedi L., Thiselton D.L., Bruton J., Sasinowski M., McConnell J.P. (Journal of Clinical Lipidology, 2015)

  6. Familial Hypercholesterolemia Prevalence of 1.5% in a Clinical Database of 542,214 Patients: Refined Risk Stratification Using ApoB:LDL-C Ratio. Varvel S.A., Voros S., Thiselton D., Dall T., Sasinowski M., McConnell J.P., Ueda M., Warnick G.R. (Journal of Clinical Lipidology, 2015

  7. Beyond Personalized Medicine: Personalized Lifestyle. Sasinowski, M. (A4M Medical News, 2014)

  8. Discordance between apolipoprotein B and low-density lipoprotein particle number is associated with insulin resistance in clinical practice. Varvel, S.A., Dayspring, T.D., Edmonds, Y., Thiselton, D.L., Ghaedi, L., Voros, S., McConnell J.P., Sasinowski, M., Dall, T., Warnick, G.R. (Journal of Clinical Lipidology, 2014)

  9. Serum alpha-hydroxybutyrate predicts elevated 1-hour glucose levels and early-phase beta-cell dysfunction during OGTT. Varvel, S.A., Pottala, J.V., Thiselton, D.L., Caffrey, R., Dall, T., Sasinowski, M., McConnell, J.P., Warnick, G.R., Graham, T., Voros, S. (BMJ Open Diabetes Research and Care, 2014) 

  10. Comprehensive biomarker testing of glycemia, insulin resistance, and beta cell function has greater sensitivity to detect diabetes risk than fasting glucose and HbA1c. Varvel, S.A., Voros, S., Thiselton, D.L., Pottala, J.V., Dall, T., Warnick, G.R., McConnell, J.P., Ghaedi, L., Sasinowski, M., Graham, T. (Journal of Cardiovascular Translational Research, 2014)

  11. Functional genomics identifies novel genes essential for clear cell renal cell carcinoma tumor cell proliferation and migration. Von Roemeling, C.A., Marlow, L.A., Radisky, D.C., Rohl, A., Larsen, H.E., Wei, J., Sasinowska, H., Zhu, H., Drake, R., Sasinowski, M., Tun, H.W., Copland, J.A. (Oncotarget, 2014) 

  12. An Electronic Inventory System Designed to Aid Compliance with the National Select Agents Registry Program. Griffiths, A., Carrion, R. Jr., Miller, J., Sasinowska, H., Sasinowski, M., Patterson, J.L. (Applied Biosafety, 2011)

  13. So Much Data… So Little Time. Sasinowski, M. (Drug Discovery, Issue 13, 2008)

  14. Precision enhancement of MALDI-TOF MS using high resolution peak detection and label-free alignment. Tracy, M.B., Chen, H., Weaver, D.M., Malyarenko, D.I., Sasinowski, M., Cazares, L.H., Drake, R.R., Semmes, J.O., Tracy, E.R., Cooke, W.E. (Proteomics, 2008)

  15. Automated Peak Identification in a TOF-MS Spectrum. Chen, H., Tracy, E.R., Cooke, W.E., Semmes, O.J., Sasinowski, M., Manos, D.M. (Chapter 6 in Quantitative Medical Data Analysis using Mathematical Tools and Statistical Techniques, 2007)
  16. Resampling and deconvolution of linear time-of-flight records for enhanced protein profiling. Malyarenko, D.I., Cooke, W.E., Tracy, E.R., Drake, R.R, Sasinowski, Manos, D.M. (Rapid Communications in Mass Spectrometry, 2006)
  17. Deconvolution filters to enhance resolution of dense time-of-flight survey spectra in the time-lag optimization range. Malyarenko, D.I., Cooke, W.E., Tracy, E.R., Trosset, M.W., Semmes, O.J., Sasinowski, M., Manos, D.M. (Rapid Communications in Mass Spectrometry, 2006)
  18. What is mzXML good for? Lin, S.M., Zhu, L., Winter, A.Q., Sasinowski, M., Kibbe, W.A.(Expert Review of Proteomics, 2005)
  19. Enhancement of Sensitivity and Resolution of SELDI TOF-MS Records for Serum Peptides Using Time Series Analysis Techniques. Malyarenko, D.I., Cooke, W.E., Adam, B.-L., Malik, G., Chen, H., Tracy, E.R., Trosset, M.W., Sasinowski, M., Semmes, O.J., Manos, D.M. (Clin. Chem., 2005)
  20. Ga+ TOF-SIMS Lineshape Analysis for Resolution Enhancement of MALDI MS Spectra of a Peptide Mixture. Malyarenko, D.I., Chen H., Wilkerson A.L., Tracy E.R., Cooke W.E., Manos D.M., Sasinowski, M., Semmes O.J. (Appl. Surf. Sci., 2004)
  21. Signal conditioning and filtering of SELDI mass spectrometry time series (Proc. 36th Symposium, Interface"04, Comput. Bio. Bioinf., 2004)
  22. Semantic Web: Biotechnology and Beyond (commissioned). Sasinowski, M. (Technology Trends. 2002)

  23. Rice transposable elements: A Survey of 73,000 Sequence-Tagged-Connectors. Mao, L., Wood, T., Yu, Y., Budiman, M.A., Tomkis, J., Woo, S-S., Sasinowski, Presting, G., M., Frisch, D., Goff, S., Dean, R., Wing, R., (Genome Research, 2000)

  24. Sequence-tagged connector/DNA fingerprint framework 215 for rice genome sequencing. Wing, R.A., Y. Yu, G. Presting, D. Frisch, T. Wood, S-S. Woo, M.A. Budiman, L. Mao, H.R., Kim, T. Rambo, E. Fang, B. Blackmon, J.L. Goicoechea, S. Higingbottom, M. Sasinowski, et al.  (Rice Genetics IV, International Rice Institute, Science Publishers. 2001)

  25. An Algorithm for the Assembly of Robust Physical Maps Based on a Combination of Multi-level Hybridization Data and Fingerprinting Data. Sasinowska, H. and Sasinowski, M. (Computers and Chemistry, 1999)

  26. Physical Map and Organization of Chromosome 7 in the Rice Blast Fungus, Magnaporthe grisea. Zhu, H., Blackmon, B., Sasinowski, M., and Dean, R. (Genome Research, 1999)

  27. Physical Map and Gene Survey of the Ochrobactrum anthropi Using Bacterial Artificial Chromosome Contigs. Tomkins, J.P., Miller–Smith, H., Sasinowski, M., Sasinowska, H., Choi, S., Verce, M., Freedman, D., Dean, R.A., Wing, R.A. (Microbial and Comparative Genomics, 1999)