Genetics and Genomics Commons^™

Selective Translation Of Low Abundance And Upregulated Transcripts In Halobacterium Salinarum., Adrián López García De Lomana, Ulrike Kusebauch, Arjun V Raman, Min Pan, Serdar Turkarslan, Alan P R Lorenzetti, Robert L Moritz, Nitin Baliga

Articles, Abstracts, and Reports

When organisms encounter an unfavorable environment, they transition to a physiologically distinct, quiescent state wherein abundant transcripts from the previous active growth state continue to persist, albeit their active transcription is downregulated. In order to generate proteins for the new quiescent physiological state, we hypothesized that the translation machinery must selectively translate upregulated transcripts in an intracellular milieu crowded with considerably higher abundance transcripts from the previous active growth state. Here, we have analyzed genome-wide changes in the transcriptome (RNA sequencing [RNA-seq]), changes in translational regulation and efficiency by ribosome profiling across all transcripts (ribosome profiling [Ribo-seq]), and protein level …

Transcriptional Portrait Of M. Bovis Bcg During Biofilm Production Shows Genes Differentially Expressed During Intercellular Aggregation And Substrate Attachment., Mario Alberto Flores-Valdez, Michel De Jesús Aceves-Sánchez, Eliza Jr Peterson, Nitin Baliga, Jorge Bravo-Madrigal, Miguel Ángel De La Cruz-Villegas, Miguel A Ares, Sarah Born, Martin Voskuil, Nayeli Areli Pérez-Padilla, Mirna Burciaga-Flores, Tanya Amanda Camacho-Villegas, María Guadalupe Espinoza-Jorge

Articles, Abstracts, and Reports

Mycobacterium tuberculosis and M. smegmatis form drug-tolerant biofilms through dedicated genetic programs. In support of a stepwise process regulating biofilm production in mycobacteria, it was shown elsewhere that lsr2 participates in intercellular aggregation, while groEL1 was required for biofilm maturation in M. smegmatis. Here, by means of RNA-Seq, we monitored the early steps of biofilm production in M. bovis BCG, to distinguish intercellular aggregation from attachment to a surface. Genes encoding for the transcriptional regulators dosR and BCG0114 (Rv0081) were significantly regulated and responded differently to intercellular aggregation and surface attachment. Moreover, a M. tuberculosis H37Rv deletion mutant in the …

Answering Schrödinger's "What Is Life?", Stuart Kauffman

Articles, Abstracts, and Reports

In his "What Is Life?" Schrödinger poses three questions: (1) What is the source of order in organisms? (2) How do organisms remain ordered in the face of the Second Law of Thermodynamics? (3) Are new laws of physics required? He answers his first question with his famous "aperiodic solid". He leaves his second and third questions unanswered. I try to show that his first answer is also the answer to his second question. Aperiodic solids such as protein enzymes are "boundary conditions" that constrain the release of energy into a few degrees of freedom in non-equilibrium processes such that …

Causal Mutations From Adaptive Laboratory Evolution Are Outlined By Multiple Scales Of Genome Annotations And Condition-Specificity., Patrick V Phaneuf, James T Yurkovich, David Heckmann, Muyao Wu, Troy E Sandberg, Zachary A King, Justin Tan, Bernhard O Palsson, Adam M Feist

Articles, Abstracts, and Reports

BACKGROUND: Adaptive Laboratory Evolution (ALE) has emerged as an experimental approach to discover mutations that confer phenotypic functions of interest. However, the task of finding and understanding all beneficial mutations of an ALE experiment remains an open challenge for the field. To provide for better results than traditional methods of ALE mutation analysis, this work applied enrichment methods to mutations described by a multiscale annotation framework and a consolidated set of ALE experiment conditions. A total of 25,321 unique genome annotations from various sources were leveraged to describe multiple scales of mutated features in a set of 35 Escherichia coli …

Meta-Analysis Of The Alzheimer's Disease Human Brain Transcriptome And Functional Dissection In Mouse Models., Ying-Wooi Wan, Rami Al-Ouran, Carl G Mangleburg, Thanneer M Perumal, Tom V Lee, Katherine Allison, Vivek Swarup, Cory C Funk, Chris Gaiteri, Mariet Allen, Minghui Wang, Sarah M Neuner, Catherine C Kaczorowski, Vivek M Philip, Gareth R Howell, Heidi Martini-Stoica, Hui Zheng, Hongkang Mei, Xiaoyan Zhong, Jungwoo Wren Kim, Valina L Dawson, Ted M Dawson, Ping-Chieh Pao, Li-Huei Tsai, Jean-Vianney Haure-Mirande, Michelle E Ehrlich, Paramita Chakrabarty, Yona Levites, Xue Wang, Eric B Dammer, Gyan Srivastava, Sumit Mukherjee, Solveig K Sieberts, Larsson Omberg, Kristen D Dang, James A Eddy, Phil Snyder, Yooree Chae, Sandeep Amberkar, Wenbin Wei, Winston Hide, Christoph Preuss, Ayla Ergun, Phillip J Ebert, David C Airey, Sara Mostafavi, Lei Yu, Hans-Ulrich Klein, Accelerating Medicines Partnership, Alzheimer’S Disease Consortium, Gregory W Carter, David A Collier, Todd E Golde, Allan I Levey, David A Bennett, Karol Estrada, T Matthew Townsend, Bin Zhang, Eric Schadt, Philip L De Jager, Nathan D Price, Nilüfer Ertekin-Taner, Zhandong Liu, Joshua M Shulman, Lara M Mangravite, Benjamin A Logsdon

Articles, Abstracts, and Reports

We present a consensus atlas of the human brain transcriptome in Alzheimer's disease (AD), based on meta-analysis of differential gene expression in 2,114 postmortem samples. We discover 30 brain coexpression modules from seven regions as the major source of AD transcriptional perturbations. We next examine overlap with 251 brain differentially expressed gene sets from mouse models of AD and other neurodegenerative disorders. Human-mouse overlaps highlight responses to amyloid versus tau pathology and reveal age- and sex-dependent expression signatures for disease progression. Human coexpression modules enriched for neuronal and/or microglial genes broadly overlap with mouse models of AD, Huntington's disease, amyotrophic …

Inter-Tumor Heterogeneity-Melanomas Respond Differently To Gm-Csf-Mediated Activation., Adi Moshe, Sivan Izraely, Orit Sagi-Assif, Sapir Malka, Shlomit Ben-Menachem, Tsipi Meshel, Metsada Pasmanik-Chor, Dave Hoon, Isaac P Witz

Articles, Abstracts, and Reports

Granulocyte-monocyte colony stimulating factor (GM-CSF) is used as an adjuvant in various clinical and preclinical studies with contradictory results. These were attributed to opposing effects of GM-CSF on the immune or myeloid systems of the treated patients or to lack of optimal dosing regimens. The results of the present study point to inter-tumor heterogeneity as a possible mechanism accounting for the contrasting responses to GM-CSF incorporating therapies. Employing xenograft models of human melanomas in nude mice developed in our lab, we detected differential functional responses of melanomas from different patients to GM-CSF both in vitro as well as in vivo. …

A Synthesis Of Bacterial And Archaeal Phenotypic Trait Data., Joshua S Madin, Daniel A Nielsen, Maria Brbic, Ross Corkrey, David Danko, Kyle Edwards, Martin K M Engqvist, Noah Fierer, Jemma L Geoghegan, Michael Gillings, Nikos C Kyrpides, Elena Litchman, Christopher E Mason, Lisa Moore, Søren L Nielsen, Ian T Paulsen, Nathan D Price, T B K Reddy, Matthew A Richards, Eduardo P C Rocha, Thomas M Schmidt, Heba Shaaban, Maulik Shukla, Fran Supek, Sasha G Tetu, Sara Vieira-Silva, Alice R Wattam, David A Westfall, Mark Westoby

Articles, Abstracts, and Reports

A synthesis of phenotypic and quantitative genomic traits is provided for bacteria and archaea, in the form of a scripted, reproducible workflow that standardizes and merges 26 sources. The resulting unified dataset covers 14 phenotypic traits, 5 quantitative genomic traits, and 4 environmental characteristics for approximately 170,000 strain-level and 15,000 species-aggregated records. It spans all habitats including soils, marine and fresh waters and sediments, host-associated and thermal. Trait data can find use in clarifying major dimensions of ecological strategy variation across species. They can also be used in conjunction with species and abundance sampling to characterize trait mixtures in communities …

Sequential Wnt Agonist Then Antagonist Treatment Accelerates Tissue Repair And Minimizes Fibrosis., Xiao-Jun Tian, Dong Zhou, Haiyan Fu, Rong Zhang, Xiaojie Wang, Sui Huang, Youhua Liu, Jianhua Xing

Articles, Abstracts, and Reports

Tissue fibrosis compromises organ function and occurs as a potential long-term outcome in response to acute tissue injuries. Currently, lack of mechanistic understanding prevents effective prevention and treatment of the progression from acute injury to fibrosis. Here, we combined quantitative experimental studies with a mouse kidney injury model and a computational approach to determine how the physiological consequences are determined by the severity of ischemia injury and to identify how to manipulate Wnt signaling to accelerate repair of ischemic tissue damage while minimizing fibrosis. The study reveals that memory of prior injury contributes to fibrosis progression and ischemic preconditioning reduces …

Interdisciplinary Profile: An Established Chemist Journeys Into Different Disciplines., James R Heath

Articles, Abstracts, and Reports

No abstract provided.

Correction To: Small Molecule Kras Agonist For Mutant Kras Cancer Therapy., Ke Xu, Dongkyoo Park, Andrew T Magis, Jun Zhang, Wei Zhou, Gabriel L Sica, Suresh S Ramalingam, Walter J Curran, Xingming Deng

Articles, Abstracts, and Reports

An amendment to this paper has been published and can be accessed via the original article.

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 …

Comparative Lipidomics Of 5-Fluorouracil-Sensitive And -Resistant Colorectal Cancer Cells Reveals Altered Sphingomyelin And Ceramide Controlled By Acid Sphingomyelinase (Smpd1)., Jae Hun Jung, Kohei Taniguchi, Hyeong Min Lee, Min Young Lee, Raju Bandu, Kazumasa Komura, Kil Yeon Lee, Yukihiro Akao, Kwang Pyo Kim

Articles, Abstracts, and Reports

5-Fluorouracil (5-FU) is a chemotherapeutic drug widely used to treat colorectal cancer. 5-FU is known to gradually lose its efficacy in treating colorectal cancer following the acquisition of resistance. We investigated the mechanism of 5-FU resistance using comprehensive lipidomic approaches. We performed lipidomic analysis on 5-FU-resistant (DLD-1/5-FU) and -sensitive (DLD-1) colorectal cancer cells using MALDI-MS and LC-MRM-MS. In particular, sphingomyelin (SM) species were significantly up-regulated in 5-FU-resistant cells in MALDI-TOF analysis. Further, we quantified sphingolipids including SM and Ceramide (Cer) using Multiple Reaction Monitoring (MRM), as they play a vital role in drug resistance. We found that 5-FU resistance in …

A Novel Landscape Of Nuclear Human Cdk2 Substrates Revealed By In Situ Phosphorylation., Yong Chi, John H Carter, Jherek Swanger, Alexander V Mazin, Robert L Moritz, Bruce E Clurman

Articles, Abstracts, and Reports

Cyclin-dependent kinase 2 (CDK2) controls cell division and is central to oncogenic signaling. We used an "in situ" approach to identify CDK2 substrates within nuclei isolated from cells expressing CDK2 engineered to use adenosine 5'-triphosphate analogs. We identified 117 candidate substrates, ~40% of which are known CDK substrates. Previously unknown candidates were validated to be CDK2 substrates, including LSD1, DOT1L, and Rad54. The identification of many chromatin-associated proteins may have been facilitated by labeling conditions that preserved nuclear architecture and physiologic CDK2 regulation by endogenous cyclins. Candidate substrates include proteins that regulate histone modifications, chromatin, transcription, and RNA/DNA metabolism. Many …

Publisher Correction: Memote For Standardized Genome-Scale Metabolic Model Testing., Christian Lieven, Moritz E Beber, Brett G Olivier, Frank T Bergmann, Meric Ataman, Parizad Babaei, Jennifer A Bartell, Lars M Blank, Siddharth Chauhan, Kevin Correia, Christian Diener, Andreas Dräger, Birgitta E Ebert, Janaka N Edirisinghe, José P Faria, Adam M Feist, Georgios Fengos, Ronan M T Fleming, Beatriz García-Jiménez, Vassily Hatzimanikatis, Wout Van Helvoirt, Christopher S Henry, Henning Hermjakob, Markus J Herrgård, Ali Kaafarani, Hyun Uk Kim, Zachary King, Steffen Klamt, Edda Klipp, Jasper J Koehorst, Matthias König, Meiyappan Lakshmanan, Dong-Yup Lee, Sang Yup Lee, Sunjae Lee, Nathan E Lewis, Filipe Liu, Hongwu Ma, Daniel Machado, Radhakrishnan Mahadevan, Paulo Maia, Adil Mardinoglu, Gregory L Medlock, Jonathan M Monk, Jens Nielsen, Lars Keld Nielsen, Juan Nogales, Intawat Nookaew, Bernhard O Palsson, Jason A Papin, Kiran R Patil, Mark Poolman, Nathan D Price, Osbaldo Resendis-Antonio, Anne Richelle, Isabel Rocha, Benjamín J Sánchez, Peter J Schaap, Rahuman S Malik Sheriff, Saeed Shoaie, Nikolaus Sonnenschein, Bas Teusink, Paulo Vilaça, Jon Olav Vik, Judith A H Wodke, Joana C Xavier, Qianqian Yuan, Maksim Zakhartsev, Cheng Zhang

Articles, Abstracts, and Reports

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Generating High Quality Libraries For Dia Ms With Empirically Corrected Peptide Predictions., Brian C Searle, Kristian E Swearingen, Christopher A Barnes, Tobias Schmidt, Siegfried Gessulat, Bernhard Küster, Mathias Wilhelm

Articles, Abstracts, and Reports

Data-independent acquisition approaches typically rely on experiment-specific spectrum libraries, requiring offline fractionation and tens to hundreds of injections. We demonstrate a library generation workflow that leverages fragmentation and retention time prediction to build libraries containing every peptide in a proteome, and then refines those libraries with empirical data. Our method specifically enables rapid, experiment-specific library generation for non-model organisms, which we demonstrate using the malaria parasite Plasmodium falciparum, and non-canonical databases, which we show by detecting missense variants in HeLa.

Author Correction: New Paradigms For Understanding And Step Changes In Treating Active And Chronic, Persistent Apicomplexan Infections., Martin Mcphillie, Ying Zhou, Kamal El Bissati, Jitender Dubey, Hernan Lorenzi, Michael Capper, Amanda K Lukens, Mark Hickman, Stephen Muench, Shiv Kumar Verma, Christopher R Weber, Kelsey Wheeler, James Gordon, Justin Sanders, Hong Moulton, Kai Wang, Taek-Kyun Kim, Yuqing He, Tatiana Santos, Stuart Woods, Patty Lee, David Donkin, Eric Kim, Laura Fraczek, Joseph Lykins, Farida Esaa, Fatima Alibana-Clouser, Sarah Dovgin, Louis Weiss, Gael Brasseur, Dyann Wirth, Michael Kent, Leroy Hood, Brigitte Meunieur, Craig W Roberts, S Samar Hasnain, Svetlana V Antonyuk, Colin Fishwick, Rima Mcleod

Articles, Abstracts, and Reports

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Memote For Standardized Genome-Scale Metabolic Model Testing., Christian Lieven, Moritz E Beber, Brett G Olivier, Frank T Bergmann, Meric Ataman, Parizad Babaei, Jennifer A Bartell, Lars M Blank, Siddharth Chauhan, Kevin Correia, Christian Diener, Andreas Dräger, Birgitta E Ebert, Janaka N Edirisinghe, José P Faria, Adam M Feist, Georgios Fengos, Ronan M T Fleming, Beatriz García-Jiménez, Vassily Hatzimanikatis, Wout Van Helvoirt, Christopher S Henry, Henning Hermjakob, Markus J Herrgård, Ali Kaafarani, Hyun Uk Kim, Zachary King, Steffen Klamt, Edda Klipp, Jasper J Koehorst, Matthias König, Meiyappan Lakshmanan, Dong-Yup Lee, Sang Yup Lee, Sunjae Lee, Nathan E Lewis, Filipe Liu, Hongwu Ma, Daniel Machado, Radhakrishnan Mahadevan, Paulo Maia, Adil Mardinoglu, Gregory L Medlock, Jonathan M Monk, Jens Nielsen, Lars Keld Nielsen, Juan Nogales, Intawat Nookaew, Bernhard O Palsson, Jason A Papin, Kiran R Patil, Mark Poolman, Nathan D Price, Osbaldo Resendis-Antonio, Anne Richelle, Isabel Rocha, Benjamín J Sánchez, Peter J Schaap, Rahuman S Malik Sheriff, Saeed Shoaie, Nikolaus Sonnenschein, Bas Teusink, Paulo Vilaça, Jon Olav Vik, Judith A H Wodke, Joana C Xavier, Qianqian Yuan, Maksim Zakhartsev, Cheng Zhang

Articles, Abstracts, and Reports

No abstract provided.

Iread: A Tool For Intron Retention Detection From Rna-Seq Data., Hong-Dong Li, Cory C Funk, Nathan D Price

Articles, Abstracts, and Reports

BACKGROUND: Intron retention (IR) has been traditionally overlooked as 'noise' and received negligible attention in the field of gene expression analysis. In recent years, IR has become an emerging field for interrogating transcriptomes because it has been recognized to carry out important biological functions such as gene expression regulation and it has been found to be associated with complex diseases such as cancers. However, methods for detecting IR today are limited. Thus, there is a need to develop novel methods to improve IR detection.

RESULTS: Here we present iREAD (intron REtention Analysis and Detector), a tool to detect IR events …

Integrative Network Modeling Reveals Mechanisms Underlying T Cell Exhaustion., Hamid Bolouri, Mary Young, Joshua Beilke, Rebecca Johnson, Brian Fox, Lu Huang, Cristina Costa Santini, Christopher Mark Hill, Anne-Renee Van Der Vuurst De Vries, Paul Shannon, Andrew Dervan, Pallavur Sivakumar, Matthew Trotter, Douglas Bassett, Alexander Ratushny

Articles, Abstracts, and Reports

Failure to clear antigens causes CD8+ T cells to become increasingly hypo-functional, a state known as exhaustion. We combined manually extracted information from published literature with gene expression data from diverse model systems to infer a set of molecular regulatory interactions that underpin exhaustion. Topological analysis and simulation modeling of the network suggests CD8+ T cells undergo 2 major transitions in state following stimulation. The time cells spend in the earlier pro-memory/proliferative (PP) state is a fixed and inherent property of the network structure. Transition to the second state is necessary for exhaustion. Combining insights from network topology analysis and …

Combining Deep Learning With Token Selection For Patient Phenotyping From Electronic Health Records., Zhen Yang, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib

Articles, Abstracts, and Reports

Artificial intelligence provides the opportunity to reveal important information buried in large amounts of complex data. Electronic health records (eHRs) are a source of such big data that provide a multitude of health related clinical information about patients. However, text data from eHRs, e.g., discharge summary notes, are challenging in their analysis because these notes are free-form texts and the writing formats and styles vary considerably between different records. For this reason, in this paper we study deep learning neural networks in combination with natural language processing to analyze text data from clinical discharge summaries. We provide a detail analysis …

Micom: Metagenome-Scale Modeling To Infer Metabolic Interactions In The Gut Microbiota., Christian Diener, Sean M Gibbons, Osbaldo Resendis-Antonio

Articles, Abstracts, and Reports

Compositional changes in the gut microbiota have been associated with a variety of medical conditions such as obesity, Crohn's disease, and diabetes. However, connecting microbial community composition to ecosystem function remains a challenge. Here, we introduce MICOM, a customizable metabolic model of the human gut microbiome. By using a heuristic optimization approach based on L2 regularization, we were able to obtain a unique set of realistic growth rates that corresponded well with observed replication rates. We integrated adjustable dietary and taxon abundance constraints to generate personalized metabolic models for individual metagenomic samples. We applied MICOM to a balanced cohort of …

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 …

Cri Iatlas: An Interactive Portal For Immuno-Oncology Research., James A Eddy, Vésteinn Thorsson, Andrew E Lamb, David L Gibbs, Carolina Heimann, Jia Xin Yu, Verena Chung, Yooree Chae, Kristen Dang, Benjamin G Vincent, Ilya Shmulevich, Justin Guinney

Articles, Abstracts, and Reports

The Cancer Research Institute (CRI) iAtlas is an interactive web platform for data exploration and discovery in the context of tumors and their interactions with the immune microenvironment. iAtlas allows researchers to study immune response characterizations and patterns for individual tumor types, tumor subtypes, and immune subtypes. iAtlas supports computation and visualization of correlations and statistics among features related to the tumor microenvironment, cell composition, immune expression signatures, tumor mutation burden, cancer driver mutations, adaptive cell clonality, patient survival, expression of key immunomodulators, and tumor infiltrating lymphocyte (TIL) spatial maps. iAtlas was launched to accompany the release of the TCGA …

Progressive Shifts In The Gut Microbiome Reflect Prediabetes And Diabetes Development In A Treatment-Naive Mexican Cohort., Christian Diener, María De Lourdes Reyes-Escogido, Lilia M Jimenez-Ceja, Mariana Matus, Claudia M Gomez-Navarro, Nathaniel D Chu, Vivian Zhong, M Elizabeth Tejero, Eric Alm, Osbaldo Resendis-Antonio, Rodolfo Guardado-Mendoza

Articles, Abstracts, and Reports

Type 2 diabetes (T2D) is a global epidemic that affects more than 8% of the world's population and is a leading cause of death in Mexico. Diet and lifestyle are known to contribute to the onset of T2D. However, the role of the gut microbiome in T2D progression remains uncertain. Associations between microbiome composition and diabetes are confounded by medication use, diet, and obesity. Here we present data on a treatment-naive cohort of 405 Mexican individuals across varying stages of T2D severity. Associations between gut bacteria and more than 200 clinical variables revealed a defined set of bacterial genera that …

Biohackathon 2015: Semantics Of Data For Life Sciences And Reproducible Research., Rutger A Vos, Toshiaki Katayama, Hiroyuki Mishima, Shin Kawano, Shuichi Kawashima, Jin-Dong Kim, Yuki Moriya, Toshiaki Tokimatsu, Atsuko Yamaguchi, Yasunori Yamamoto, Hongyan Wu, Peter Amstutz, Erick Antezana, Nobuyuki P Aoki, Kazuharu Arakawa, Jerven T Bolleman, Evan Bolton, Raoul J P Bonnal, Hidemasa Bono, Kees Burger, Hirokazu Chiba, Kevin B Cohen, Eric W Deutsch, Jesualdo T Fernández-Breis, Gang Fu, Takatomo Fujisawa, Atsushi Fukushima, Alexander García, Naohisa Goto, Tudor Groza, Colin Hercus, Robert Hoehndorf, Kotone Itaya, Nick Juty, Takeshi Kawashima, Jee-Hyub Kim, Akira R Kinjo, Masaaki Kotera, Kouji Kozaki, Sadahiro Kumagai, Tatsuya Kushida, Thomas Lütteke, Masaaki Matsubara, Joe Miyamoto, Attayeb Mohsen, Hiroshi Mori, Yuki Naito, Takeru Nakazato, Jeremy Nguyen-Xuan, Kozo Nishida, Naoki Nishida, Hiroyo Nishide, Soichi Ogishima, Tazro Ohta, Shujiro Okuda, Benedict Paten, Jean-Luc Perret, Philip Prathipati, Pjotr Prins, Núria Queralt-Rosinach, Daisuke Shinmachi, Shinya Suzuki, Tsuyosi Tabata, Terue Takatsuki, Kieron Taylor, Mark Thompson, Ikuo Uchiyama, Bruno Vieira, Chih-Hsuan Wei, Mark Wilkinson, Issaku Yamada, Ryota Yamanaka, Kazutoshi Yoshitake, Akiyasu C Yoshizawa, Michel Dumontier, Kenjiro Kosaki, Toshihisa Takagi

Articles, Abstracts, and Reports

We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss issues surrounding the representation, publication, integration, mining and reuse of biological data and metadata across a wide range of biomedical data types of relevance for the life sciences, including chemistry, genotypes and phenotypes, orthology and phylogeny, proteomics, genomics, glycomics, and metabolomics. We describe our progress to address ongoing challenges to the reusability and reproducibility of research results, and identify outstanding issues …

Current Status And Future Prospects Of Genome-Scale Metabolic Modeling To Optimize The Use Of Mesenchymal Stem Cells In Regenerative Medicine., Þóra Sigmarsdóttir, Sarah Mcgarrity, Óttar Rolfsson, James T Yurkovich, Ólafur E Sigurjónsson

Articles, Abstracts, and Reports

Mesenchymal stem cells are a promising source for externally grown tissue replacements and patient-specific immunomodulatory treatments. This promise has not yet been fulfilled in part due to production scaling issues and the need to maintain the correct phenotype after re-implantation. One aspect of extracorporeal growth that may be manipulated to optimize cell growth and differentiation is metabolism. The metabolism of MSCs changes during and in response to differentiation and immunomodulatory changes. MSC metabolism may be linked to functional differences but how this occurs and influences MSC function remains unclear. Understanding how MSC metabolism relates to cell function is however important …

Synthesis And Preclinical Validation Of Novel P2y1 Receptor Ligands As A Potent Anti-Prostate Cancer Agent., Hien Thi Thu Le, Tatu Rimpilainen, Saravanan Konda Mani, Akshaya Murugesan, Olli Yli-Harja, Nuno R Candeias, Meenakshisundaram Kandhavelu

Articles, Abstracts, and Reports

Purinergic receptor is a potential drug target for neuropathic pain, Alzheimer disease, and prostate cancer. Focusing on the structure-based ligand discovery, docking analysis on the crystal structure of P2Y

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 …

Incorporating In-Source Fragments Improves Metabolite Identification Accuracy In Untargeted Lcms And Lcms/Ms Datasets., Brian C Searle, Jacob C Lippincott, Phillip M Seitzer

Articles, Abstracts, and Reports

In untargeted metabolomics experiments library search engines detect metabolites using several features, including precursor mass, isotopic distribution, retention time, and MS2 fragmentation. Matching acquired MS2 to library spectra is vital as numerous compounds share molecular formulas, resulting in identical precursor measurements and similar retention times. However, many metabolomics experiments are still collected using LC-MS only, and even in LC-MS/MS experiments many precursors lack MS2 spectra due to the stochastic nature of data dependent acquisition. We observe that when metabolites ionize they can produce unanticipated MS1 features resulting from neutral losses, in-source fragmentation, multimerization, and adducts. Here we present a new …

Plasmodium Secretion Induces Hepatocyte Lysosome Exocytosis And Promotes Parasite Entry., Kamalakannan Vijayan, Igor Cestari, Fred D Mast, Elizabeth K K Glennon, Suzanne M Mcdermott, Heather S Kain, Alyssa M Brokaw, John D Aitchison, Kenneth Stuart, Alexis Kaushansky

Articles, Abstracts, and Reports

The invasion of a suitable host hepatocyte by Plasmodium sporozoites is an essential step in malaria infection. We demonstrate that in infected hepatocytes, lysosomes are redistributed away from the nucleus, and surface exposure of lysosome-associated membrane protein 1 (LAMP1) is increased. Lysosome exocytosis in infected cells occurs independently of sporozoite traversal. Instead, a sporozoite-secreted factor is sufficient for the process. Knockdown of SNARE proteins involved in lysosome-plasma membrane fusion reduces lysosome exocytosis and Plasmodium infection. In contrast, promoting fusion between the lysosome and plasma membrane dramatically increases infection. Our work demonstrates parallels between Plasmodium sporozoite entry of hepatocytes and infection …