Genetics and Genomics Commons^™

Flexible And Fast Mapping Of Peptides To A Proteome With Proteomapper., Luis Mendoza, Eric W Deutsch, Zhi Sun, David S Campbell, David Shteynberg, Robert L Moritz

Articles, Abstracts, and Reports

Bottom-up proteomics relies on the proteolytic or chemical cleavage of proteins into peptides, the identification of those peptides via mass spectrometry, and the mapping of the identified peptides back to the reference proteome to infer which possible proteins are identified. Reliable mapping of peptides to proteins still poses substantial challenges when considering similar proteins, protein families, splice isoforms, sequence variation, and possible residue mass modifications, combined with an imperfect and incomplete understanding of the proteome. The ProteoMapper tool enables a comprehensive and rapid mapping of peptides to a reference proteome. The indexer component creates a segmented index for an input …

Progress On Identifying And Characterizing The Human Proteome: 2018 Metrics From The Hupo Human Proteome Project., Gilbert S Omenn, Lydie Lane, Christopher M Overall, Fernando J Corrales, Jochen M Schwenk, Young-Ki Paik, Jennifer E Van Eyk, Siqi Liu, Michael Snyder, Mark S Baker, Eric W Deutsch

Articles, Abstracts, and Reports

The Human Proteome Project (HPP) annually reports on progress throughout the field in credibly identifying and characterizing the human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2018-01-17, the baseline for this sixth annual HPP special issue of the Journal of Proteome Research, contains 17 470 PE1 proteins, 89% of all neXtProt predicted PE1-4 proteins, up from 17 008 in release 2017-01-23 and 13 975 in release 2012-02-24. Conversely, the number of neXtProt PE2,3,4 missing proteins has been reduced from 2949 to 2579 to 2186 over the past …

Toward Completion Of The Human Proteome Parts List: Progress Uncovering Proteins That Are Missing Or Have Unknown Function And Developing Analytical Methods., Young-Ki Paik, Christopher M Overall, Fernando Corrales, Eric W Deutsch, Lydie Lane, Gilbert S Omenn

Articles, Abstracts, and Reports

No abstract provided.

Expanding The Use Of Spectral Libraries In Proteomics., Eric W Deutsch, Yasset Perez-Riverol, Robert J Chalkley, Mathias Wilhelm, Stephen Tate, Timo Sachsenberg, Mathias Walzer, Lukas Käll, Bernard Delanghe, Sebastian Böcker, Emma L Schymanski, Paul Wilmes, Viktoria Dorfer, Bernhard Kuster, Pieter-Jan Volders, Nico Jehmlich, Johannes P C Vissers, Dennis W Wolan, Ana Y Wang, Luis Mendoza, Jim Shofstahl, Andrew W Dowsey, Johannes Griss, Reza M Salek, Steffen Neumann, Pierre-Alain Binz, Henry Lam, Juan Antonio Vizcaíno, Nuno Bandeira, Hannes Röst

Articles, Abstracts, and Reports

The 2017 Dagstuhl Seminar on Computational Proteomics provided an opportunity for a broad discussion on the current state and future directions of the generation and use of peptide tandem mass spectrometry spectral libraries. Their use in proteomics is growing slowly, but there are multiple challenges in the field that must be addressed to further increase the adoption of spectral libraries and related techniques. The primary bottlenecks are the paucity of high quality and comprehensive libraries and the general difficulty of adopting spectral library searching into existing workflows. There are several existing spectral library formats, but none captures a satisfactory level …

Molecular Structure Of Promoter-Bound Yeast Tfiid., Olga Kolesnikova, Adam Ben-Shem, Jie Luo, Jeff Ranish, Patrick Schultz, Gabor Papai

Articles, Abstracts, and Reports

Transcription preinitiation complex assembly on the promoters of protein encoding genes is nucleated in vivo by TFIID composed of the TATA-box Binding Protein (TBP) and 13 TBP-associate factors (Tafs) providing regulatory and chromatin binding functions. Here we present the cryo-electron microscopy structure of promoter-bound yeast TFIID at a resolution better than 5 Å, except for a flexible domain. We position the crystal structures of several subunits and, in combination with cross-linking studies, describe the quaternary organization of TFIID. The compact tri lobed architecture is stabilized by a topologically closed Taf5-Taf6 tetramer. We confirm the unique subunit stoichiometry prevailing in TFIID …

Genotype Fingerprints Enable Fast And Private Comparison Of Genetic Testing Results For Research And Direct-To-Consumer Applications., Max Robinson, Gustavo Glusman

Articles, Abstracts, and Reports

Genetic testing has expanded out of the research laboratory into medical practice and the direct-to-consumer market. Rapid analysis of the resulting genotype data now has a significant impact. We present a method for summarizing personal genotypes as 'genotype fingerprints' that meets these needs. Genotype fingerprints can be derived from any single nucleotide polymorphism-based assay, and remain comparable as chip designs evolve to higher marker densities. We demonstrate that these fingerprints support distinguishing types of relationships among closely related individuals and closely related individuals from individuals from the same background population, as well as high-throughput identification of identical genotypes, individuals in …

Surface Immobilization Of Redox-Labile Fluorescent Probes: Enabling Single-Cell Co-Profiling Of Aerobic Glycolysis And Oncogenic Protein Signaling Activities., Zhonghan Li, Hanjun Cheng, Shiqun Shao, Xiang Lu, Li Mo, Jonathan Tsang, Pu Zeng, Zhili Guo, Siwen Wang, David A Nathanson, James R Heath, Wei Wei, Min Xue

Articles, Abstracts, and Reports

An analytical method is described for profiling lactate production in single cells via the use of coupled enzyme reactions on surface-grafted resazurin molecules. The immobilization of the redox-labile probes was achieved through chemical modifications on resazurin, followed by bio-orthogonal click reactions. The lactate detection was demonstrated to be sensitive and specific. The method was incorporated into a single-cell barcode chip for simultaneous quantification of aerobic glycolysis activities and oncogenic signaling phosphoproteins in cancer. The interplay between glycolysis and oncogenic signaling activities was interrogated on a glioblastoma cell line. Results revealed a drug-induced oncogenic signaling reliance accompanying shifted metabolic paradigms. A …

Determining Relative Dynamic Stability Of Cell States Using Boolean Network Model., Jae Il Joo, Joseph X Zhou, Sui Huang, Kwang-Hyun Cho

Articles, Abstracts, and Reports

Cell state transition is at the core of biological processes in metazoan, which includes cell differentiation, epithelial-to-mesenchymal transition (EMT) and cell reprogramming. In these cases, it is important to understand the molecular mechanism of cellular stability and how the transitions happen between different cell states, which is controlled by a gene regulatory network (GRN) hard-wired in the genome. Here we use Boolean modeling of GRN to study the cell state transition of EMT and systematically compare four available methods to calculate the cellular stability of three cell states in EMT in both normal and genetically mutated cases. The results produced …

A Tissue-Based Draft Map Of The Murine Mhc Class I Immunopeptidome., Heiko Schuster, Wenguang Shao, Tobias Weiss, Patrick G A Pedrioli, Patrick Roth, Michael Weller, David S Campbell, Eric W Deutsch, Robert L Moritz, Oliver Planz, Hans-Georg Rammensee, Ruedi Aebersold, Etienne Caron

Articles, Abstracts, and Reports

The large array of peptides presented to CD8+ T cells by major histocompatibility complex (MHC) class I molecules is referred to as the MHC class I immunopeptidome. Although the MHC class I immunopeptidome is ubiquitous in mammals and represents a critical component of the immune system, very little is known, in any species, about its composition across most tissues and organs in vivo. We applied mass spectrometry (MS) technologies to draft the first tissue-based atlas of the murine MHC class I immunopeptidome in health. Peptides were extracted from 19 normal tissues from C57BL/6 mice and prepared for MS injections, resulting …

The Iceman's Last Meal Consisted Of Fat, Wild Meat, And Cereals., Frank Maixner, Dmitrij Turaev, Amaury Cazenave-Gassiot, Marek Janko, Ben Krause-Kyora, Michael R Hoopmann, Ulrike Kusebauch, Mark Sartain, Gea Guerriero, Niall O'Sullivan, Matthew Teasdale, Giovanna Cipollini, Alice Paladin, Valeria Mattiangeli, Marco Samadelli, Umberto Tecchiati, Andreas Putzer, Mine Palazoglu, John Meissen, Sandra Lösch, Philipp Rausch, John F Baines, Bum Jin Kim, Hyun-Joo An, Paul Gostner, Eduard Egarter-Vigl, Peter Malfertheiner, Andreas Keller, Robert W Stark, Markus Wenk, David Bishop, Daniel G Bradley, Oliver Fiehn, Lars Engstrand, Robert L Moritz, Philip Doble, Andre Franke, Almut Nebel, Klaus Oeggl, Thomas Rattei, Rudolf Grimm, Albert Zink

Articles, Abstracts, and Reports

The history of humankind is marked by the constant adoption of new dietary habits affecting human physiology, metabolism, and even the development of nutrition-related disorders. Despite clear archaeological evidence for the shift from hunter-gatherer lifestyle to agriculture in Neolithic Europe [1], very little information exists on the daily dietary habits of our ancestors. By undertaking a complementary -omics approach combined with microscopy, we analyzed the stomach content of the Iceman, a 5,300-year-old European glacier mummy [2, 3]. He seems to have had a remarkably high proportion of fat in his diet, supplemented with fresh or dried wild meat, cereals, and …

Menthol, A Unique Urinary Volatile Compound, Is Associated With Chronic Inflammation In Interstitial Cystitis., Muhammad Shahid, Min Young Lee, Austin Yeon, Eunho Cho, Vikram Sairam, Luis Valdiviez, Sungyong You, Jayoung Kim

Articles, Abstracts, and Reports

Chronic inflammation is a potential systemic risk factor for many bladder dysfunctions, including interstitial cystitis (IC). However, the underlying mechanism through which a healthy bladder protects itself from inflammatory triggers remains unknown. In this study, we identified odor compounds in urine obtained from IC patients and healthy controls. Using comprehensive solid-phase microextraction-gas chromatography-time-of-flight-mass spectrometry (SPME-GC-TOF-MS) profiling and bioinformatics, we found that levels of urinary volatile metabolites, such as menthol, were significantly reduced in IC patients, compared to healthy controls. In an attempt to understand the mechanistic meaning of our volatile metabolites data and the role of menthol in the immune …

Lineage Marker Synchrony In Hematopoietic Genealogies Refutes The Pu.1/Gata1 Toggle Switch Paradigm., Michael K Strasser, Philipp S Hoppe, Dirk Loeffler, Konstantinos D Kokkaliaris, Timm Schroeder, Fabian J Theis, Carsten Marr

Articles, Abstracts, and Reports

Molecular regulation of cell fate decisions underlies health and disease. To identify molecules that are active or regulated during a decision, and not before or after, the decision time point is crucial. However, cell fate markers are usually delayed and the time of decision therefore unknown. Fortunately, dividing cells induce temporal correlations in their progeny, which allow for retrospective inference of the decision time point. We present a computational method to infer decision time points from correlated marker signals in genealogies and apply it to differentiating hematopoietic stem cells. We find that myeloid lineage decisions happen generations before lineage marker …

Novel Metrics For Quantifying Bacterial Genome Composition Skews., Lena M Joesch-Cohen, Max Robinson, Neda Jabbari, Christopher G Lausted, Gustavo Glusman

Articles, Abstracts, and Reports

BACKGROUND: Bacterial genomes have characteristic compositional skews, which are differences in nucleotide frequency between the leading and lagging DNA strands across a segment of a genome. It is thought that these strand asymmetries arise as a result of mutational biases and selective constraints, particularly for energy efficiency. Analysis of compositional skews in a diverse set of bacteria provides a comparative context in which mutational and selective environmental constraints can be studied. These analyses typically require finished and well-annotated genomic sequences.

RESULTS: We present three novel metrics for examining genome composition skews; all three metrics can be computed for unfinished or …

Abrf Proteome Informatics Research Group (Iprg) 2016 Study: Inferring Proteoforms From Bottom-Up Proteomics Data., Joon-Yong Lee, Hyungwon Choi, Christopher M Colangelo, Darryl Davis, Michael R Hoopmann, Lukas Käll, Henry Lam, Samuel H Payne, Yasset Perez-Riverol, Matthew The, Ryan Wilson, Susan T Weintraub, Magnus Palmblad

Articles, Abstracts, and Reports

This report presents the results from the 2016 Association of Biomolecular Resource Facilities Proteome Informatics Research Group (iPRG) study on proteoform inference and false discovery rate (FDR) estimation from bottom-up proteomics data. For this study, 3 replicate Q Exactive Orbitrap liquid chromatography-tandom mass spectrometry datasets were generated from each of 4

A Protein Standard That Emulates Homology For The Characterization Of Protein Inference Algorithms., Matthew The, Fredrik Edfors, Yasset Perez-Riverol, Samuel H Payne, Michael R Hoopmann, Magnus Palmblad, Björn Forsström, Lukas Käll

Articles, Abstracts, and Reports

A natural way to benchmark the performance of an analytical experimental setup is to use samples of known composition and see to what degree one can correctly infer the content of such a sample from the data. For shotgun proteomics, one of the inherent problems of interpreting data is that the measured analytes are peptides and not the actual proteins themselves. As some proteins share proteolytic peptides, there might be more than one possible causative set of proteins resulting in a given set of peptides and there is a need for mechanisms that infer proteins from lists of detected peptides. …

Author Correction: A Population-Specific Reference Panel Empowers Genetic Studies Of Anabaptist Populations., Liping Hou, Rachel L Kember, Jared C Roach, Jeffrey R O'Connell, David W Craig, Maja Bucan, William K Scott, Margaret Pericak-Vance, Jonathan L Haines, Michael H Crawford, Alan R Shuldiner, Francis J Mcmahon

Articles, Abstracts, and Reports

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

The Microbiome Stress Project: Toward A Global Meta-Analysis Of Environmental Stressors And Their Effects On Microbial Communities., Jennifer D Rocca, Marie Simonin, Joanna R Blaszczak, Jessica G Ernakovich, Sean M Gibbons, Firas S Midani, Alex D Washburne

Articles, Abstracts, and Reports

Microbial community structure is highly sensitive to natural (e.g., drought, temperature, fire) and anthropogenic (e.g., heavy metal exposure, land-use change) stressors. However, despite an immense amount of data generated, systematic, cross-environment analyses of microbiome responses to multiple disturbances are lacking. Here, we present the Microbiome Stress Project, an open-access database of environmental and host-associated 16S rRNA amplicon sequencing studies collected to facilitate cross-study analyses of microbiome responses to stressors. This database will comprise published and unpublished datasets re-processed from the raw sequences into exact sequence variants using our standardized computational pipeline. Our database will provide insight into general response patterns …

The Cytoscape Automation App Article Collection., Barry Demchak, David Otasek, Alexander R Pico, Gary D Bader, Keiichiro Ono, Brett Settle, Eric Sage, John H Morris, William Longabaugh, Christian Lopes, Michael Kucera, Adam Treister, Benno Schwikowski, Piet Molenaar, Trey Ideker

Articles, Abstracts, and Reports

Cytoscape is the premiere platform for interactive analysis, integration and visualization of network data. While Cytoscape itself delivers much basic functionality, it relies on community-written apps to deliver specialized functions and analyses. To date, Cytoscape's CyREST feature has allowed researchers to write workflows that call basic Cytoscape functions, but provides no access to its high value app-based functions. With Cytoscape Automation, workflows can now call apps that have been upgraded to expose their functionality. This article collection is a resource to assist readers in quickly and economically leveraging such apps in reproducible workflows that scale independently to large data sets …