Genetics and Genomics Commons^™

The Mzidentml Data Standard Version 1.2, Supporting Advances In Proteome Informatics., Juan Antonio Vizcaíno, Gerhard Mayer, Simon Perkins, Harald Barsnes, Marc Vaudel, Yasset Perez-Riverol, Tobias Ternent, Julian Uszkoreit, Martin Eisenacher, Lutz Fischer, Juri Rappsilber, Eugen Netz, Mathias Walzer, Oliver Kohlbacher, Alexander Leitner, Robert J Chalkley, Fawaz Ghali, Salvador Martínez-Bartolomé, Eric W Deutsch, Andrew R Jones

Articles, Abstracts, and Reports

The first stable version of the Proteomics Standards Initiative mzIdentML open data standard (version 1.1) was published in 2012-capturing the outputs of peptide and protein identification software. In the intervening years, the standard has become well-supported in both commercial and open software, as well as a submission and download format for public repositories. Here we report a new release of mzIdentML (version 1.2) that is required to keep pace with emerging practice in proteome informatics. New features have been added to support: (1) scores associated with localization of modifications on peptides; (2) statistics performed at the level of peptides; (3) …

Discovering And Linking Public Omics Data Sets Using The Omics Discovery Index., Yasset Perez-Riverol, Mingze Bai, Felipe Da Veiga Leprevost, Silvano Squizzato, Young Mi Park, Kenneth Haug, Adam J Carroll, Dylan Spalding, Justin Paschall, Mingxun Wang, Noemi Del-Toro, Tobias Ternent, Peng Zhang, Nicola Buso, Nuno Bandeira, Eric W Deutsch, David S Campbell, Ronald C Beavis, Reza M Salek, Ugis Sarkans, Robert Petryszak, Maria Keays, Eoin Fahy, Manish Sud, Shankar Subramaniam, Ariana Barbera, Rafael C Jiménez, Alexey I Nesvizhskii, Susanna-Assunta Sansone, Christoph Steinbeck, Rodrigo Lopez, Juan A Vizcaíno, Peipei Ping, Henning Hermjakob

Articles, Abstracts, and Reports

No abstract provided.

Csf Protein Changes Associated With Hippocampal Sclerosis Risk Gene Variants Highlight Impact Of Grn/Pgrn, David W. Fardo, Yuriko Katsumata, John S. K. Kauwe, Yuetiva Deming, Oscar Harari, Carlos Cruchaga, Alzheimer’S Disease Neuroimaging Initiative, Peter T. Nelson

Sanders-Brown Center on Aging Faculty Publications

Objective—Hippocampal sclerosis of aging (HS-Aging) is a common cause of dementia in older adults. We tested the variability in cerebrospinal fluid (CSF) proteins associated with previously identified HS-Aging risk single nucleotide polymorphisms (SNPs).

Methods—Alzheimer’s Disease Neuroimaging Initiative cohort (ADNI; n=237) data, combining both multiplexed proteomics CSF and genotype data, were used to assess the association between CSF analytes and risk SNPs in four genes (SNPs): GRN (rs5848), TMEM106B (rs1990622), ABCC9 (rs704180), and KCNMB2 (rs9637454). For controls, non-HS-Aging SNPs in APOE (rs429358/rs7412) and MAPT (rs8070723) were also analyzed against Aβ1-42 and total tau CSF analytes.

Results—The GRN risk …

An Integrated Transcriptomics-Guided Genome-Wide Promoter Analysis And Next-Generation Proteomics Approach To Mine Factor(S) Regulating Cellular Differentiation., Kamal Mandal, Samuel L Bader, Pankaj Kumar, Dipankar Malakar, David S Campbell, Bhola Shankar Pradhan, Rajesh K Sarkar, Neerja Wadhwa, Souvik Sensharma, Vaibhav Jain, Robert L Moritz, Subeer S Majumdar

Articles, Abstracts, and Reports

Differential next-generation-omics approaches aid in the visualization of biological processes and pave the way for divulging important events and/or interactions leading to a functional output at cellular or systems level. To this end, we undertook an integrated Nextgen transcriptomics and proteomics approach to divulge differential gene expression of infant and pubertal rat Sertoli cells (Sc).Unlike, pubertal Sc, infant Sc are immature and fail to support spermatogenesis. We found exclusive association of 14 and 19 transcription factor binding sites to infantile and pubertal states of Sc, respectively, using differential transcriptomics-guided genome-wide computational analysis of relevant promoters employing 220 Positional Weight Matrices …

Mechanism For Microbial Population Collapse In A Fluctuating Resource Environment., Serdar Turkarslan, Arjun V Raman, Anne W Thompson, Christina E Arens, Mark A Gillespie, Frederick Von Netzer, Kristina L Hillesland, Sergey Stolyar, Adrián López García De Lomana, David J Reiss, Drew Gorman-Lewis, Grant M Zane, Jeffrey A Ranish, Judy D Wall, David A Stahl, Nitin Baliga

Articles, Abstracts, and Reports

Managing trade-offs through gene regulation is believed to confer resilience to a microbial community in a fluctuating resource environment. To investigate this hypothesis, we imposed a fluctuating environment that required the sulfate-reducer

Review Of The Algal Biology Program Within The National Alliance For Advanced Biofuels And Bioproducts, Clifford J. Unkefer, Richard T. Sayre, Jon K. Magnuson, Daniel B. Anderson, Ivan Baxter, Ian K. Balby, Judith K. Brown, Michael Carleton, Rose Ann Cattolico, Taraka Dale, Timothy P. Devarenne, C. Meghan Downes, Susan K. Dutcher, David T. Fox, Ursula Goodenough, Jan Jaworski, Jonathan E. Holladay, David M. Kramer, Andrew T. Koppisch, Mary S. Lipton, Babetta L. Marrone, Margaret Mccormick, István Molnár, John B. Mott, Kimberly L. Ogden, Ellen A. Panisko, Matteo Pellegrini, Juergen Polle, James W. Richardson, Martin Sabarsky, Shawn R. Starkenburg, Gary D. Stormo, Munehiro Teshima, Scott N. Twary, Pat J. Unkefer, Joshua S. Yuan, José A. Olivares

Publications and Research

In 2010,when the National Alliance for Advanced Biofuels and Bioproducts (NAABB) consortiumbegan, littlewas known about themolecular basis of algal biomass or oil production. Very fewalgal genome sequenceswere available and efforts to identify the best-producing wild species through bioprospecting approaches had largely stalled after the U.S. Department of Energy's Aquatic Species Program. This lack of knowledge included how reduced carbon was partitioned into storage products like triglycerides or starch and the role played bymetabolite remodeling in the accumulation of energy-dense storage products. Furthermore, genetic transformation and metabolic engineering approaches to improve algal biomass and oil yields were in their infancy. Genome …

Metagomics: A Web-Based Tool For Peptide-Centric Functional And Taxonomic Analysis Of Metaproteomics Data, Michael Riffle, Damon H. May, Emma Timmins-Schiffman, Molly P. Mikan, Daniel Jaschob, William S. Noble, Brook L. Nunn

OES Faculty Publications

Metaproteomics is the characterization of all proteins being expressed by a community of organisms in a complex biological sample at a single point in time. Applications of metaproteomics range from the comparative analysis of environmental samples (such as ocean water and soil) to microbiome data from multicellular organisms (such as the human gut). Metaproteomics research is often focused on the quantitative functional makeup of the metaproteome and which organisms are making those proteins. That is: What are the functions of the currently expressed proteins? How much of the metaproteome is associated with those functions? And, which microorganisms are expressing the …

Statistical Contributions To Bioinformatics: Design, Modeling, Structure Learning, And Integration, Jeffrey S. Morris, Veera Baladandayuthapani

Jeffrey S. Morris