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Full-Text Articles in Life Sciences

Multi-Omics Reveals Largely Distinct Transcript- And Protein-Level Responses To The Environment In An Intertidal Mussel, Lani U. Gleason, Florian J. Fekete, Richelle L. Tanner, W. Wesley Dowd Nov 2023

Multi-Omics Reveals Largely Distinct Transcript- And Protein-Level Responses To The Environment In An Intertidal Mussel, Lani U. Gleason, Florian J. Fekete, Richelle L. Tanner, W. Wesley Dowd

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Organismal responses to stressful environments are influenced by numerous transcript- and protein-level mechanisms, and the relationships between expression changes at these levels are not always straightforward. Here, we used paired transcriptomic and proteomic datasets from two previous studies from gill of the California mussel, Mytilus californianus, to explore how simultaneous transcript and protein abundance patterns may diverge under different environmental scenarios. Field-acclimatized mussels were sampled from two disparate intertidal sites; individuals from one site were subjected to three further treatments (common garden, low-intertidal or high-intertidal outplant) that vary in temperature and feeding time. Assessing 1519 genes shared between …


Identification Of Genomic, Proteomic, And Metabolomic Signatures Associated With Pulmonary Hypertension Syndrome In Broilers, Duaa Almansaf Aug 2022

Identification Of Genomic, Proteomic, And Metabolomic Signatures Associated With Pulmonary Hypertension Syndrome In Broilers, Duaa Almansaf

Graduate Theses and Dissertations

The present dissertation contains a collection of studies that examine the genomic, proteomic, and metabolomic association to pulmonary hypertension or ascites phenotype in fast-growing broilers. Pulmonary hypertension is a multifactorial metabolic disease influenced by physiological, environmental, and nutritional factors. It is characterized by a number of structural changes including, thrombosis and adverse pulmonary vascular remodeling. Thus, the atrial pressure is increased, and the right ventricle becomes hypertrophied, resulting in heart failure and the death of the bird. Pulmonary hypertension or ascites is a global problem that has negatively impacted the economy. The increased mortality rate of broilers (25%) is estimated …


Screening For Binding Partners And Protein-Protein Interactions Of A Fungal Transcription Factor- Xdr1, Nishadi Punsara Gallala Gamage Mar 2022

Screening For Binding Partners And Protein-Protein Interactions Of A Fungal Transcription Factor- Xdr1, Nishadi Punsara Gallala Gamage

Masters Theses

Clarireedia spp. (formerly Sclerotinia homoeocarpaF.T. Bennett) is the causal agent dollar spot, the most economically important turfgrass disease impacting golf courses in North America. The most effective strategy for dollar spot control is repeated application of multiple classes of fungicides. However, reliance on chemical application has led to resistance to four classes of fungicides as well as multidrug resistance (MDR). Fungi are known to detoxify xenobiotics, like fungicides, through transcriptional regulation of three detoxification phases: modification, conjugation and secretion. Little is known, however, of the protein-protein interactions that facilitate these pathways. Following next-generation RNA sequencing of Clarireedia spp., a …


Ensemble Protein Inference Evaluation, Kyle Lee Lucke Jan 2021

Ensemble Protein Inference Evaluation, Kyle Lee Lucke

Graduate Student Theses, Dissertations, & Professional Papers

The Protein inference problem is becoming an increasingly important tool that aids in the characterization of complex proteomes and analysis of complex protein samples. In bottom-up shotgun proteomics experiments the metrics for evaluation (like AUC and calibration error) are based on an often imperfect target-decoy database. These metrics make the inherent assumption that all of the proteins in the target set are present in the sample being analyzed. In general, this is not the case, they are typically a mix of present and absent proteins. To objectively evaluate inference methods, protein standard datasets are used. These datasets are special in …


Deciphering The Ck2-Dependent Phosphoproteome And Its Integration With Regulatory Ptm Networks, Teresa Nunez De Villavicencio Diaz Nov 2020

Deciphering The Ck2-Dependent Phosphoproteome And Its Integration With Regulatory Ptm Networks, Teresa Nunez De Villavicencio Diaz

Electronic Thesis and Dissertation Repository

Protein functions are regulated by the post-translational addition of covalent modifications on certain amino acids. Depending on their distance within the 3-dimensional structure, addition/removal of individual post translational modifications (PTMs) can be impacted by others. This PTM interplay constitutes an essential regulatory mechanism that interconnects the molecular networks in the cell. Protein CK2, a clinically relevant acidophilic Ser/Thr kinase, may be responsible for 10-20% of the human phosphoproteome. Such estimates agree with the number of known substrates, which continues to expand. Furthermore, the demonstration that CK2 participates in hierarchical phosphorylation and has similar sequence determinants to caspases suggest extensive PTM …


Integration Of Time-Series Meta-Omics Data Reveals How Microbial Ecosystems Respond To Disturbance., Malte Herold, Susana Martínez Arbas, Shaman Narayanasamy, Abdul R Sheik, Luise A K Kleine-Borgmann, Laura A Lebrun, Benoît J Kunath, Hugo Roume, Irina Bessarab, Rohan B H Williams, John D Gillece, James M Schupp, Paul S Keim, Christian Jäger, Michael R Hoopmann, Robert L Moritz, Yuzhen Ye, Sujun Li, Haixu Tang, Anna Heintz-Buschart, Patrick May, Emilie E L Muller, Cedric C Laczny, Paul Wilmes Oct 2020

Integration Of Time-Series Meta-Omics Data Reveals How Microbial Ecosystems Respond To Disturbance., Malte Herold, Susana Martínez Arbas, Shaman Narayanasamy, Abdul R Sheik, Luise A K Kleine-Borgmann, Laura A Lebrun, Benoît J Kunath, Hugo Roume, Irina Bessarab, Rohan B H Williams, John D Gillece, James M Schupp, Paul S Keim, Christian Jäger, Michael R Hoopmann, Robert L Moritz, Yuzhen Ye, Sujun Li, Haixu Tang, Anna Heintz-Buschart, Patrick May, Emilie E L Muller, Cedric C Laczny, Paul Wilmes

Articles, Abstracts, and Reports

The development of reliable, mixed-culture biotechnological processes hinges on understanding how microbial ecosystems respond to disturbances. Here we reveal extensive phenotypic plasticity and niche complementarity in oleaginous microbial populations from a biological wastewater treatment plant. We perform meta-omics analyses (metagenomics, metatranscriptomics, metaproteomics and metabolomics) on in situ samples over 14 months at weekly intervals. Based on 1,364 de novo metagenome-assembled genomes, we uncover four distinct fundamental niche types. Throughout the time-series, we observe a major, transient shift in community structure, coinciding with substrate availability changes. Functional omics data reveals extensive variation in gene expression and substrate usage amongst community members. …


Multi-Omic Single-Cell Snapshots Reveal Multiple Independent Trajectories To Drug Tolerance In A Melanoma Cell Line., Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath May 2020

Multi-Omic Single-Cell Snapshots Reveal Multiple Independent Trajectories To Drug Tolerance In A Melanoma Cell Line., Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath

Articles, Abstracts, and Reports

The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determine the trajectories that single BRAFV600E mutant melanoma cancer cells take between drug-naive and drug-tolerant states. Although single-cell omics tools can yield snapshots of the cell-state landscape, the determination of individual cell trajectories through that space can be confounded by stochastic cell-state switching. We assayed for a panel of signaling, phenotypic, and metabolic regulators at points across 5 days of drug treatment to …


The Proteomexchange Consortium In 2020: Enabling 'Big Data' Approaches In Proteomics., Eric W Deutsch, Nuno Bandeira, Vagisha Sharma, Yasset Perez-Riverol, Jeremy J Carver, Deepti J Kundu, David García-Seisdedos, Andrew F Jarnuczak, Suresh Hewapathirana, Benjamin S Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Henning Hermjakob, Brendan Maclean, Michael J Maccoss, Yunping Zhu, Yasushi Ishihama, Juan A Vizcaíno Jan 2020

The Proteomexchange Consortium In 2020: Enabling 'Big Data' Approaches In Proteomics., Eric W Deutsch, Nuno Bandeira, Vagisha Sharma, Yasset Perez-Riverol, Jeremy J Carver, Deepti J Kundu, David García-Seisdedos, Andrew F Jarnuczak, Suresh Hewapathirana, Benjamin S Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Henning Hermjakob, Brendan Maclean, Michael J Maccoss, Yunping Zhu, Yasushi Ishihama, Juan A Vizcaíno

Articles, Abstracts, and Reports

The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the …


Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0., Eric W Deutsch, Lydie Lane, Christopher M Overall, Nuno Bandeira, Mark S Baker, Charles Pineau, Robert L Moritz, Fernando Corrales, Sandra Orchard, Jennifer E Van Eyk, Young-Ki Paik, Susan T Weintraub, Yves Vandenbrouck, Gilbert S Omenn Dec 2019

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0., Eric W Deutsch, Lydie Lane, Christopher M Overall, Nuno Bandeira, Mark S Baker, Charles Pineau, Robert L Moritz, Fernando Corrales, Sandra Orchard, Jennifer E Van Eyk, Young-Ki Paik, Susan T Weintraub, Yves Vandenbrouck, Gilbert S Omenn

Articles, Abstracts, and Reports

The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier …


Integrated Omics Study Delineates The Dynamics Of Lipid Droplets In Rhodococcus Opacus Pd630., Yong Chen, Yunfeng Ding, Li Yang, Jinhai Yu, Guiming Liu, Xumin Wang, Shuyan Zhang, Dan Yu, Lai Song, Hangxiao Zhang, Congyan Zhang, Linhe Huo, Chaoxing Huo, Yang Wang, Yalan Du, Huina Zhang, Peng Zhang, Huimin Na, Shimeng Xu, Yaxin Zhu, Zhensheng Xie, Tong He, Yue Zhang, Guoliang Wang, Zhonghua Fan, Fuquan Yang, Honglei Liu, Xiaowo Wang, Xuegong Zhang, Michael Q Zhang, Yanda Li, Alexander Steinbüchel, Toyoshi Fujimoto, Simon Cichello, Jun Yu, Pingsheng Liu Sep 2019

Integrated Omics Study Delineates The Dynamics Of Lipid Droplets In Rhodococcus Opacus Pd630., Yong Chen, Yunfeng Ding, Li Yang, Jinhai Yu, Guiming Liu, Xumin Wang, Shuyan Zhang, Dan Yu, Lai Song, Hangxiao Zhang, Congyan Zhang, Linhe Huo, Chaoxing Huo, Yang Wang, Yalan Du, Huina Zhang, Peng Zhang, Huimin Na, Shimeng Xu, Yaxin Zhu, Zhensheng Xie, Tong He, Yue Zhang, Guoliang Wang, Zhonghua Fan, Fuquan Yang, Honglei Liu, Xiaowo Wang, Xuegong Zhang, Michael Q Zhang, Yanda Li, Alexander Steinbüchel, Toyoshi Fujimoto, Simon Cichello, Jun Yu, Pingsheng Liu

Yong Chen

Rhodococcus opacus strain PD630 (R. opacus PD630), is an oleaginous bacterium, and also is one of few prokaryotic organisms that contain lipid droplets (LDs). LD is an important organelle for lipid storage but also intercellular communication regarding energy metabolism, and yet is a poorly understood cellular organelle. To understand the dynamics of LD using a simple model organism, we conducted a series of comprehensive omics studies of R. opacus PD630 including complete genome, transcriptome and proteome analysis. The genome of R. opacus PD630 encodes 8947 genes that are significantly enriched in the lipid transport, synthesis and metabolic, indicating a super …


Proteomics Standards Initiative Extended Fasta Format., Pierre-Alain Binz, Jim Shofstahl, Juan Antonio Vizcaíno, Harald Barsnes, Robert J Chalkley, Gerben Menschaert, Emanuele Alpi, Karl Clauser, Jimmy K Eng, Lydie Lane, Sean L Seymour, Luis Francisco Hernández Sánchez, Gerhard Mayer, Martin Eisenacher, Yasset Perez-Riverol, Eugene A Kapp, Luis Mendoza, Peter R Baker, Andrew Collins, Tim Van Den Bossche, Eric W Deutsch Jun 2019

Proteomics Standards Initiative Extended Fasta Format., Pierre-Alain Binz, Jim Shofstahl, Juan Antonio Vizcaíno, Harald Barsnes, Robert J Chalkley, Gerben Menschaert, Emanuele Alpi, Karl Clauser, Jimmy K Eng, Lydie Lane, Sean L Seymour, Luis Francisco Hernández Sánchez, Gerhard Mayer, Martin Eisenacher, Yasset Perez-Riverol, Eugene A Kapp, Luis Mendoza, Peter R Baker, Andrew Collins, Tim Van Den Bossche, Eric W Deutsch

Articles, Abstracts, and Reports

Mass-spectrometry-based proteomics enables the high-throughput identification and quantification of proteins, including sequence variants and post-translational modifications (PTMs) in biological samples. However, most workflows require that such variations be included in the search space used to analyze the data, and doing so remains challenging with most analysis tools. In order to facilitate the search for known sequence variants and PTMs, the Proteomics Standards Initiative (PSI) has designed and implemented the PSI extended FASTA format (PEFF). PEFF is based on the very popular FASTA format but adds a uniform mechanism for encoding substantially more metadata about the sequence collection as well as …


Composition Of The Survival Motor Neuron (Smn) Complex In Drosophila Melanogaster, A. Gregory Matera, Amanda C. Raimer, Casey A. Schmidt, Jo A. Kelly, Gaith N. Droby, David Baillat, Sara Ten Have, Angus I. Lamond, Eric J. Wagner, Kelsey M. Gray Feb 2019

Composition Of The Survival Motor Neuron (Smn) Complex In Drosophila Melanogaster, A. Gregory Matera, Amanda C. Raimer, Casey A. Schmidt, Jo A. Kelly, Gaith N. Droby, David Baillat, Sara Ten Have, Angus I. Lamond, Eric J. Wagner, Kelsey M. Gray

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Spinal Muscular Atrophy (SMA) is caused by homozygous mutations in the human survival motor neuron 1 (SMN1) gene. SMN protein has a well-characterized role in the biogenesis of small nuclear ribonucleoproteins (snRNPs), core components of the spliceosome. SMN is part of an oligomeric complex with core binding partners, collectively called Gemins. Biochemical and cell biological studies demonstrate that certain Gemins are required for proper snRNP assembly and transport. However, the precise functions of most Gemins are unknown. To gain a deeper understanding of the SMN complex in the context of metazoan evolution, we investigated its composition in Drosophila …


A Tandem Mass Spectrometry Sequence Database Search Method For Identification Of O-Fucosylated Proteins By Mass Spectrometry., Kristian E Swearingen, Jimmy K Eng, David Shteynberg, Vladimir Vigdorovich, Timothy A Springer, Luis Mendoza, D Noah Sather, Eric W Deutsch, Stefan H I Kappe, Robert L Moritz Feb 2019

A Tandem Mass Spectrometry Sequence Database Search Method For Identification Of O-Fucosylated Proteins By Mass Spectrometry., Kristian E Swearingen, Jimmy K Eng, David Shteynberg, Vladimir Vigdorovich, Timothy A Springer, Luis Mendoza, D Noah Sather, Eric W Deutsch, Stefan H I Kappe, Robert L Moritz

Articles, Abstracts, and Reports

Thrombospondin type 1 repeats (TSRs), small adhesive protein domains with a wide range of functions, are usually modified with O-linked fucose, which may be extended to O-fucose-β1,3-glucose. Collision-induced dissociation (CID) spectra of O-fucosylated peptides cannot be sequenced by standard tandem mass spectrometry (MS/MS) sequence database search engines because O-linked glycans are highly labile in the gas phase and are effectively absent from the CID peptide fragment spectra, resulting in a large mass error. Electron transfer dissociation (ETD) preserves O-linked glycans on peptide fragments, but only a subset of tryptic peptides with low m/ z can be reliably sequenced from ETD …


Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke Dec 2018

Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke

Ray Enke Ph.D.

This in class activity introduces basic bioinformatics analysis using the Saccharomyces Genome Database (SGD) and the UniProt Database. The yeast URA3 gene is studied in this activity, however, any other yeast gene can be substituted. This activity is designed for novice instructors and students for implementation into core biology lecture or lab courses.


Als Mutations Of Fus Suppress Protein Translation And Disrupt The Regulation Of Nonsense-Mediated Decay, Marisa Kamelgarn, Jing Chen, Lisha Kuang, Huan Jin, Edward J. Kasarskis, Haining Zhu Dec 2018

Als Mutations Of Fus Suppress Protein Translation And Disrupt The Regulation Of Nonsense-Mediated Decay, Marisa Kamelgarn, Jing Chen, Lisha Kuang, Huan Jin, Edward J. Kasarskis, Haining Zhu

Toxicology and Cancer Biology Faculty Publications

Amyotrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease characterized by preferential motor neuron death. Approximately 15% of ALS cases are familial, and mutations in the fused in sarcoma (FUS) gene contribute to a subset of familial ALS cases. FUS is a multifunctional protein participating in many RNA metabolism pathways. ALS-linked mutations cause a liquid–liquid phase separation of FUS protein in vitro, inducing the formation of cytoplasmic granules and inclusions. However, it remains elusive what other proteins are sequestered into the inclusions and how such a process leads to neuronal dysfunction and degeneration. In this study, we developed …


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 Dec 2018

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 …


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 Dec 2018

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 …


A Systems Biology Approach For Studying Heterotopic Ossification: Proteomic Analysis Of Clinical Serum And Tissue Samples, Erin Crowgey, Jennifer Wyffels, Patrick Osborn, Thomas Wood, Laura Edsberg Jun 2018

A Systems Biology Approach For Studying Heterotopic Ossification: Proteomic Analysis Of Clinical Serum And Tissue Samples, Erin Crowgey, Jennifer Wyffels, Patrick Osborn, Thomas Wood, Laura Edsberg

Articles & Book Chapters

Heterotopic ossification (HO) refers to the abnormal formation of bone in soft tissue. Although some of the underlying processes of HO have been described, there are currently no clinical tests using validated biomarkers for predicting HO formation. As such, the diagnosis is made radiographically after HO has formed. To identify potential and novel biomarkers for HO, we used isobaric tags for relative and absolute quantitation (iTRAQ) and high-throughput antibody arrays to produce a semi-quantitative proteomics survey of serum and tissue from subjects with (HO+) and without (HO−) heterotopic ossification. The resulting data were then analyzed using a systems biology approach. …


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 May 2018

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. …


Determination Of Adamts13 Susceptibility In Type Iia Von Willebrand Disease, Monica Buselli May 2018

Determination Of Adamts13 Susceptibility In Type Iia Von Willebrand Disease, Monica Buselli

Dissertations, Masters Theses, Capstones, and Culminating Projects

von Willebrand Disease (vWD) is a bleeding disorder caused by a deficiency in von Willebrand Factor (vWF), a large glycoprotein that assists in coagulation. Specifically, large vWF multimers in the blood stream are key components in starting the coagulation cascade. vWF is cleaved by the metalloprotease ADAMTS13, regulating the multimers size, which hinders vWF’s ability to function properly. The three main types of vWD —Type I, II, and III— are not well defined, and as a result are all similarly treated with plasma-derived vWF replacement therapy. Plasma-derived vWF is a treatment that does not cure the problem but relieves the …


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 Jul 2017

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 May 2017

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 Apr 2017

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 Apr 2017

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 Mar 2017

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 Jan 2017

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 Jan 2017

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 Dec 2016

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

Jeffrey S. Morris

The advent of high-throughput multi-platform genomics technologies providing whole-genome molecular summaries of biological samples has revolutionalized biomedical research. These technologies yield highly structured big data, whose analysis poses significant quantitative challenges. The field of Bioinformatics has emerged to deal with these challenges, and is comprised of many quantitative and biological scientists working together to eectively process these data and extract the treasure trove of information they contain. Statisticians, with their deep understanding of variability and uncertainty quantification, play a key role in these efforts. In this article, we attempt to summarize some of the key contributions of statisticians to bioinformatics, …


Itar: A Web Server For Identifying Target Genes Of Transcription Factors Using Chip-Seq Or Chip-Chip Data, Chia-Chun Yang, Erik H. Andrews, Min-Hsuan Chen, Wan-Yu Wang Aug 2016

Itar: A Web Server For Identifying Target Genes Of Transcription Factors Using Chip-Seq Or Chip-Chip Data, Chia-Chun Yang, Erik H. Andrews, Min-Hsuan Chen, Wan-Yu Wang

Dartmouth Scholarship

Chromatin immunoprecipitation followed by massively parallel DNA sequencing (ChIP-seq) or microarray hybridization (ChIP-chip) has been widely used to determine the genomic occupation of transcription factors (TFs). We have previously developed a probabilistic method, called TIP (Target Identification from Profiles), to identify TF target genes using ChIP-seq/ChIP-chip data. To achieve high specificity, TIP applies a conservative method to estimate significance of target genes, with the trade-off being a relatively low sensitivity of target gene identification compared to other methods. Additionally, TIP’s output does not render binding-peak locations or intensity, information highly useful for visualization and general experimental biological use, while the …


Beyond Dna: Epigenetics And Proteomics In Forensic Science, Diane F. Eilerts May 2016

Beyond Dna: Epigenetics And Proteomics In Forensic Science, Diane F. Eilerts

Themis: Research Journal of Justice Studies and Forensic Science

The use of genetic evidence in criminal cases is well established and has improved the public opinion and credibility of forensic science. However, several shortcomings associated with current genetic profiling techniques exist. Scientific research aimed at increasing the overall knowledge and understanding of biological factors will lead to the development of methods capable of improving the discriminating power of DNA evidence, overcoming limitations associated with DNA evidence, or complementing current methods of DNA profiling. Increased research in the fields of epigenetics and proteomics are particularly promising and relevant to forensic science. Research suggests that epigenetic biomarkers can be used to …