Genetics and Genomics Commons^™

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 …

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

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

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

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 …

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

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

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 …

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

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

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

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

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. …

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 …

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 …

Novel Interactome Of Saccharomyces Cerevisiae Myosin Type Ii Identified By A Modified Integrated Membrane Yeast Two-Hybrid (Imyth) Screen, Ednalise Santiago, Pearl Akamine, Jamie Snider, Victoria Wong, Matthew Jessulat, Viktor Deineko, Alla Gagarinova, Hiroyuki Aoki, Zoran Minic, Sadhna Phanse, Andrea San Antonio, Luis A Cubano, Brian C. Rymond, Mohan Babu, Igor Stagljar, Jose R. Rodriguez-Medina

Biology Faculty Publications

Nonmuscle myosin type II (Myo1p) is required for cytokinesis in the budding yeast Saccharomyces cerevisiae. Loss of Myo1p activity has been associated with growth abnormalities and enhanced sensitivity to osmotic stress, making it an appealing antifungal therapeutic target. The Myo1p tail-only domain was previously reported to have functional activity equivalent to the full-length Myo1p whereas the head-only domain did not. Since Myo1p tail-only constructs are biologically active, the tail domain must have additional functions beyond its previously described role in myosin dimerization or trimerization. The identification of new Myo1p-interacting proteins may shed light on the other …

Network-Driven Plasma Proteomics Expose Molecular Changes In The Alzheimer's Brain, Philipp A. Jaeger, Kurt M. Lucin, Markus Britschgi, Badri Vardarajan, Ruo-Pan Huang, Elizabeth D. Kirby, Rachelle Abbey, Bradley F. Boeve, Adam L. Boxer, Lindsay A. Farrer, Nicole Finch, Neill R. Graff-Radford, Elizabeth Head, Matan Hofree, Ruochun Huang, Hudson Johns, Anna Karydas, David S. Knopman, Andrey Loboda, Eliezer Masliah, Ramya Narasimhan, Ronald C. Petersen, Alexei Podtelezhnikov, Suraj Pradhan, Rosa Rademakers, Chung-Huan Sun, Steven G. Younkin, Bruce L. Miller, Trey Ideker, Tony Wyss-Coray

Pharmacology and Nutritional Sciences Faculty Publications

Background: Biological pathways that significantly contribute to sporadic Alzheimer’s disease are largely unknown and cannot be observed directly. Cognitive symptoms appear only decades after the molecular disease onset, further complicating analyses. As a consequence, molecular research is often restricted to late-stage post-mortem studies of brain tissue. However, the disease process is expected to trigger numerous cellular signaling pathways and modulate the local and systemic environment, and resulting changes in secreted signaling molecules carry information about otherwise inaccessible pathological processes.

Results: To access this information we probed relative levels of close to 600 secreted signaling proteins from patients’ blood samples using …

Techniques And Approaches To Genetic Analyses In Nephrological Disorders., Laurel K. Willig

Manuscripts, Articles, Book Chapters and Other Papers

Inherited renal disease is a leading cause of morbidity and mortality in pediatric nephrology. High throughput advancements in genomics have led to greater understanding of the biologic underpinnings of these diseases. However, the underlying genetic changes explain only part of the molecular biology that contributes to disease manifestation and progression. Other omics technologies will provide a more complete picture of these cellular processes. This review discusses these omics technologies in the context of pediatric renal disease.

The Proteomic Response In The Crustacean Molting Gland Of Land Crab Gecarcinus Lateralis In Response To Artificially Induced Molting Throughout Its Molting Cycle., Andrea Reider, Talia B. Head, Lars Tomanek, Donald L. Mykles

STAR Program Research Presentations

Molting in crustaceans is a highly complex physiological process involving negative regulation by two paired endocrine glands, the X-organ/sinus gland complex (XO/SG) and the Y-organ (YO). The XO/SG complex is responsible for making molt-inhibiting hormone (MIH) which negatively regulates synthesis of molting hormones (ecdysteroids) by the YO. Eyestalk ablation (ESA) removes the source of MIH and provides an experimental means to manipulate and induce molting, although the physiological effects of ESA on the YO have not been fully characterized. Analysis of gene expression in the XOs and YOs has lead to the development of a proposed molecular signaling pathway which …

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

Faculty Scholarship for the College of Science & Mathematics

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 …

Reactin: Regulatory Activity Inference Of Transcription Factors Underlying Human Diseases With Application To Breast Cancer, Mingzhu Zhu, Chun-Chi Liu, Chao Cheng

Dartmouth Scholarship

Genetic alterations of transcription factors (TFs) have been implicated in the tumorigenesis of cancers. In many cancers, alteration of TFs results in aberrant activity of them without changing their gene expression level. Gene expression data from microarray or RNA-seq experiments can capture the expression change of genes, however, it is still challenge to reveal the activity change of TFs. Here we propose a method, called REACTIN (REgulatory ACTivity INference), which integrates TF binding data with gene expression data to identify TFs with significantly differential activity between disease and normal samples. REACTIN successfully detect differential activity of estrogen receptor (ER) between …

Proteomic Analysis Of Iron Acquisition, Metabolic And Regulatory Responses Of Yersinia Pestis To Iron Starvation, Rembert Pieper, Shih-Ting Huang, Prashanth P. Parmar, David J. Clark, Hamid Alami, Robert D. Fleischmann, Robert D. Perry, Scott N. Peterson

Microbiology, Immunology, and Molecular Genetics Faculty Publications

BACKGROUND: The Gram-negative bacterium Yersinia pestis is the causative agent of the bubonic plague. Efficient iron acquisition systems are critical to the ability of Y. pestis to infect, spread and grow in mammalian hosts, because iron is sequestered and is considered part of the innate host immune defence against invading pathogens. We used a proteomic approach to determine expression changes of iron uptake systems and intracellular consequences of iron deficiency in the Y. pestis strain KIM6+ at two physiologically relevant temperatures (26°C and 37°C).

RESULTS: Differential protein display was performed for three Y. pestis subcellular fractions. Five characterized Y. pestis …

An Integrative -Omics Approach To Identify Functional Sub-Networks In Human Colorectal Cancer, Rod K. Nibbe, Mehmet Koyutürk, Mark R. Chance

Faculty Scholarship

Emerging evidence indicates that gene products implicated in human cancers often cluster together in "hot spots" in protein-protein interaction (PPI) networks. Additionally, small sub-networks within PPI networks that demonstrate synergistic differential expression with respect to tumorigenic phenotypes were recently shown to be more accurate classifiers of disease progression when compared to single targets identified by traditional approaches. However, many of these studies rely exclusively on mRNA expression data, a useful but limited measure of cellular activity. Proteomic profiling experiments provide information at the post-translational level, yet they generally screen only a limited fraction of the proteome. Here, we demonstrate that …

Evolution Of The Holozoan Ribosome Biogenesis Regulon, Seth J. Brown, Michael D. Cole, Albert J. Erives

Dartmouth Scholarship

The ribosome biogenesis (RiBi) genes encode a highly-conserved eukaryotic set of nucleolar proteins involved in rRNA transcription, assembly, processing, and export from the nucleus. While the mode of regulation of this suite of genes has been studied in the yeast, Saccharomyces cerevisiae, how this gene set is coordinately regulated in the larger and more complex metazoan genomes is not understood. Here we present genome-wide analyses indicating that a distinct mode of RiBi regulation co-evolved with the E(CG)-binding, Myc:Max bHLH heterodimer complex in a stem-holozoan, the ancestor of both Metazoa and Choanoflagellata, the protozoan group most closely related to animals. These …