Genetics and Genomics Commons^™

Population Screening For High-Risk Patient Identification Partnership With Care-Comprehensive Assessment, Risk, And Education., Ora K Gordon, Brad Bott, Nanor Parseghian, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Multi-Cancer Early Detection Testing (Mced), Ora K Gordon, Brad Bott, Nanor Parseghian, Paul Psychogios, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.

Neoadjuvant Anti-Ox40 (Medi6469) Therapy In Patients With Head And Neck Squamous Cell Carcinoma Activates And Expands Antigen-Specific Tumor-Infiltrating T Cells., Rebekka Duhen, Carmen Ballesteros-Merino, Alexandra K Frye, Eric Tran, Venkatesh Rajamanickam, Shu-Ching Chang, Yoshinobu Koguchi, Carlo Bifulco, Brady Bernard, Rom Leidner, Brendan Curti, Bernard A Fox, Walter Urba, Richard Bryan Bell, Andrew D Weinberg

Articles, Abstracts, and Reports

Despite the success of checkpoint blockade in some cancer patients, there is an unmet need to improve outcomes. Targeting alternative pathways, such as costimulatory molecules (e.g. OX40, GITR, and 4-1BB), can enhance T cell immunity in tumor-bearing hosts. Here we describe the results from a phase Ib clinical trial (NCT02274155) in which 17 patients with locally advanced head and neck squamous cell carcinoma (HNSCC) received a murine anti-human OX40 agonist antibody (MEDI6469) prior to definitive surgical resection. The primary endpoint was to determine safety and feasibility of the anti-OX40 neoadjuvant treatment. The secondary objective was to assess the effect of …

The Dfam Community Resource Of Transposable Element Families, Sequence Models, And Genome Annotations., Jessica Storer, Robert Hubley, Jeb Rosen, Travis J Wheeler, Arian F Smit

Articles, Abstracts, and Reports

Dfam is an open access database of repetitive DNA families, sequence models, and genome annotations. The 3.0-3.3 releases of Dfam ( https://dfam.org ) represent an evolution from a proof-of-principle collection of transposable element families in model organisms into a community resource for a broad range of species, and for both curated and uncurated datasets. In addition, releases since Dfam 3.0 provide auxiliary consensus sequence models, transposable element protein alignments, and a formalized classification system to support the growing diversity of organisms represented in the resource. The latest release includes 266,740 new de novo generated transposable element families from 336 species …

Prognostic Gene Expression Signatures Of Breast Cancer Are Lacking A Sensible Biological Meaning., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Galina Glazko, Frank Emmert-Streib

Articles, Abstracts, and Reports

The identification of prognostic biomarkers for predicting cancer progression is an important problem for two reasons. First, such biomarkers find practical application in a clinical context for the treatment of patients. Second, interrogation of the biomarkers themselves is assumed to lead to novel insights of disease mechanisms and the underlying molecular processes that cause the pathological behavior. For breast cancer, many signatures based on gene expression values have been reported to be associated with overall survival. Consequently, such signatures have been used for suggesting biological explanations of breast cancer and drug mechanisms. In this paper, we demonstrate for a large …

Integrated Genetic And Metabolic Landscapes Predict Vulnerabilities Of Temozolomide Resistant Glioblastoma Cells., Selva Rupa Christinal Immanuel, Avinash D Ghanate, Dharmeshkumar S Parmar, Ritu Yadav, Riya Uthup, Venkateswarlu Panchagnula, Anu Raghunathan

Articles, Abstracts, and Reports

Metabolic reprogramming and its molecular underpinnings are critical to unravel the duality of cancer cell function and chemo-resistance. Here, we use a constraints-based integrated approach to delineate the interplay between metabolism and epigenetics, hardwired in the genome, to shape temozolomide (TMZ) resistance. Differential metabolism was identified in response to TMZ at varying concentrations in both the resistant neurospheroidal (NSP) and the susceptible (U87MG) glioblastoma cell-lines. The genetic basis of this metabolic adaptation was characterized by whole exome sequencing that identified mutations in signaling pathway regulators of growth and energy metabolism. Remarkably, our integrated approach identified rewiring in glycolysis, TCA cycle, …

Partial Inhibition Of Mitochondrial Complex I Ameliorates Alzheimer's Disease Pathology And Cognition In App/Ps1 Female Mice., Andrea Stojakovic, Sergey Trushin, Anthony Sheu, Layla Khalili, Su-Youne Chang, Xing Li, Trace Christensen, Jeffrey L Salisbury, Rachel E Geroux, Benjamin Gateno, Padraig J Flannery, Mrunal Dehankar, Cory C Funk, Jordan Wilkins, Anna Stepanova, Tara O'Hagan, Alexander Galkin, Jarred Nesbitt, Xiujuan Zhu, Utkarsh Tripathi, Slobodan Macura, Tamar Tchkonia, Tamar Pirtskhalava, James L Kirkland, Rachel A Kudgus, Renee A Schoon, Joel M Reid, Yu Yamazaki, Takahisa Kanekiyo, Song Zhang, Emirhan Nemutlu, Petras Dzeja, Adam Jaspersen, Ye In Christopher Kwon, Michael K Lee, Eugenia Trushina

Articles, Abstracts, and Reports

Alzheimer's Disease (AD) is a devastating neurodegenerative disorder without a cure. Here we show that mitochondrial respiratory chain complex I is an important small molecule druggable target in AD. Partial inhibition of complex I triggers the AMP-activated protein kinase-dependent signaling network leading to neuroprotection in symptomatic APP/PS1 female mice, a translational model of AD. Treatment of symptomatic APP/PS1 mice with complex I inhibitor improved energy homeostasis, synaptic activity, long-term potentiation, dendritic spine maturation, cognitive function and proteostasis, and reduced oxidative stress and inflammation in brain and periphery, ultimately blocking the ongoing neurodegeneration. Therapeutic efficacy in vivo was monitored using translational …

The Type Vi Secretion System Of Xanthomonas Phaseoli Pv. Manihotis Is Involved In Virulence And In Vitro Motility., Nathaly Andrea Montenegro Benavides, Alejandro Alvarez B, Mario L Arrieta-Ortiz, Luis Miguel Rodriguez-R, David Botero, Javier Felipe Tabima, Luisa Castiblanco, Cesar Trujillo, Silvia Restrepo, Adriana Bernal

Articles, Abstracts, and Reports

BACKGROUND: The type VI protein secretion system (T6SS) is important in diverse cellular processes in Gram-negative bacteria, including interactions with other bacteria and with eukaryotic hosts. In this study we analyze the evolution of the T6SS in the genus Xanthomonas and evaluate its importance of the T6SS for virulence and in vitro motility in Xanthomonas phaseoli pv. manihotis (Xpm), the causal agent of bacterial blight in cassava (Manihot esculenta). We delineate the organization of the T6SS gene clusters in Xanthomonas and then characterize proteins of this secretion system in Xpm strain CIO151.

RESULTS: We describe the presence of three different …

Lettuce (Lactuca Sativa) Productivity Influenced By Microbial Inocula Under Nitrogen-Limited Conditions In Aquaponics., Jessica A Day, Christian Diener, Anne E Otwell, Kourtney E Tams, Brad Bebout, Angela M Detweiler, Michael D Lee, Madeline T Scott, Wilson Ta, Monica Ha, Shienna A Carreon, Kenny Tong, Abdirizak A Ali, Sean M Gibbons, Nitin S Baliga

Articles, Abstracts, and Reports

The demand for food will outpace productivity of conventional agriculture due to projected growth of the human population, concomitant with shrinkage of arable land, increasing scarcity of freshwater, and a rapidly changing climate. While aquaponics has potential to sustainably supplement food production with minimal environmental impact, there is a need to better characterize the complex interplay between the various components (fish, plant, microbiome) of these systems to optimize scale up and productivity. Here, we investigated how the commonly-implemented practice of continued microbial community transfer from pre-existing systems might promote or impede productivity of aquaponics. Specifically, we monitored plant growth phenotypes, …

Absolute Quantification Of Transcription Factors In Human Erythropoiesis Using Selected Reaction Monitoring Mass Spectrometry., Mark A Gillespie, Carmen G Palii, Daniel Sanchez-Taltavull, Theodore J Perkins, Marjorie Brand, Jeffrey A Ranish

Articles, Abstracts, and Reports

Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage. For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020).

Systematic Comparison Of Sea Urchin And Sea Star Developmental Gene Regulatory Networks Explains How Novelty Is Incorporated In Early Development., Gregory A Cary, Brenna S Mccauley, Olga Zueva, Joseph Pattinato, William J R Longabaugh, Veronica F Hinman

Articles, Abstracts, and Reports

The extensive array of morphological diversity among animal taxa represents the product of millions of years of evolution. Morphology is the output of development, therefore phenotypic evolution arises from changes to the topology of the gene regulatory networks (GRNs) that control the highly coordinated process of embryogenesis. A particular challenge in understanding the origins of animal diversity lies in determining how GRNs incorporate novelty while preserving the overall stability of the network, and hence, embryonic viability. Here we assemble a comprehensive GRN for endomesoderm specification in the sea star from zygote through gastrulation that corresponds to the GRN for sea …

Persort Facilitates Characterization And Elimination Of Persister Subpopulation In Mycobacteria., Vivek Srinivas, Mario L Arrieta-Ortiz, Amardeep Kaur, Eliza Jr Peterson, Nitin Baliga

Articles, Abstracts, and Reports

Mycobacterium tuberculosis (MTB) generates phenotypic diversity to persist and survive the harsh conditions encountered during infection. MTB avoids immune effectors and antibacterial killing by entering into distinct physiological states. The surviving cells, persisters, are a major barrier to the timely and relapse-free treatment of tuberculosis (TB). We present for the first time, PerSort, a method to isolate and characterize persisters in the absence of antibiotic or other pressure. We demonstrate the value of PerSort to isolate translationally dormant cells that preexisted in small numbers within Mycobacterium species cultures growing under optimal conditions but that dramatically increased in proportion under stress …

Biofilms Of The Non-Tuberculous Mycobacterium Chelonae Form An Extracellular Matrix And Display Distinct Expression Patterns, Perla Vega-Dominguez, Eliza Jr Peterson, Min Pan, Alessandro Di Maio, Saumya Singh, Siva Umapathy, Deepak K Saini, Nitin Baliga, Apoorva Bhatt

Articles, Abstracts, and Reports

No abstract provided.

A Primary Human T-Cell Spectral Library To Facilitate Large Scale Quantitative T-Cell Proteomics., Harshi Weerakoon, Jeremy Potriquet, Alok K Shah, Sarah Reed, Buddhika Jayakody, Charu Kapil, Mukul K Midha, Robert L Moritz, Ailin Lepletier, Jason Mulvenna, John J Miles, Michelle M Hill

Articles, Abstracts, and Reports

Data independent analysis (DIA) exemplified by sequential window acquisition of all theoretical mass spectra (SWATH-MS) provides robust quantitative proteomics data, but the lack of a public primary human T-cell spectral library is a current resource gap. Here, we report the generation of a high-quality spectral library containing data for 4,833 distinct proteins from human T-cells across genetically unrelated donors, covering ~24% proteins of the UniProt/SwissProt reviewed human proteome. SWATH-MS analysis of 18 primary T-cell samples using the new human T-cell spectral library reliably identified and quantified 2,850 proteins at 1% false discovery rate (FDR). In comparison, the larger Pan-human spectral …

The Proteasome Activators Blm10/Pa200 Enhance The Proteasomal Degradation Of N-Terminal Huntingtin., Azzam Aladdin, Yanhua Yao, Ciyu Yang, Günther Kahlert, Marvi Ghani, Nikolett Király, Anita Boratkó, Karen Uray, Gunnar Dittmar, Krisztina Tar

Articles, Abstracts, and Reports

The Blm10/PA200 family of proteasome activators modulates the peptidase activity of the core particle (20S CP). They participate in opening the 20S CP gate, thus facilitating the degradation of unstructured proteins such as tau and Dnm1 in a ubiquitin- and ATP-independent manner. Furthermore, PA200 also participates in the degradation of acetylated histones. In our study, we use a combination of yeast and human cell systems to investigate the role of Blm10/PA200 in the degradation of N-terminal Huntingtin fragments (N-Htt). We demonstrate that the human PA200 binds to N-Htt. The loss of Blm10 in yeast or PA200 in human cells results …

A Pilot Study Comparing The Efficacy Of Lactate Dehydrogenase Levels Versus Circulating Cell-Free Micrornas In Monitoring Responses To Checkpoint Inhibitor Immunotherapy In Metastatic Melanoma Patients., Matias A Bustos, Rebecca Gross, Negin Rahimzadeh, Hunter Cole, Linh T Tran, Kevin Tran, Ling Takeshima, Stacey L Stern, Steven O'Day, Dave Hoon

Articles, Abstracts, and Reports

Serum lactate dehydrogenase (LDH) is a standard prognostic biomarker for stage IV melanoma patients. Often, LDH levels do not provide real-time information about the metastatic melanoma patients' disease status and treatment response. Therefore, there is a need to find reliable blood biomarkers for improved monitoring of metastatic melanoma patients who are undergoing checkpoint inhibitor immunotherapy (CII). The objective in this prospective pilot study was to discover circulating cell-free microRNA (cfmiR) signatures in the plasma that could assess melanoma patients' responses during CII. The cfmiRs were evaluated by the next-generation sequencing (NGS) HTG EdgeSeq microRNA (miR) Whole Transcriptome Assay (WTA; 2083 …

A Comprehensive Spectral Assay Library To Quantify The Escherichia Coli Proteome By Dia/Swath-Ms., Mukul K Midha, Ulrike Kusebauch, David Shteynberg, Charu Kapil, Samuel L Bader, Panga Jaipal Reddy, David S Campbell, Nitin Baliga, Robert L Moritz

Articles, Abstracts, and Reports

Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of peptides for each species. Although Escherichia coli (E. coli) is among the best studied model organisms, so far there is no spectral assay library for the bacterium publicly available. Here, we generated a spectral assay library for 4,014 of the 4,389 annotated E. coli proteins using one- and two-dimensional fractionated samples, and ion mobility separation enabling deep proteome …

An Exploratory Pilot Study With Plasma Protein Signatures Associated With Response Of Patients With Depression To Antidepressant Treatment For 10 Weeks., Eun Young Kim, Hee-Sung Ahn, Min Young Lee, Jiyoung Yu, Jeonghun Yeom, Hwangkyo Jeong, Hophil Min, Hyun Jeong Lee, Kyunggon Kim, Yong Min Ahn

Articles, Abstracts, and Reports

Major depressive disorder (MDD) is a leading cause of global disability with a chronic and recurrent course. Recognition of biological markers that could predict and monitor response to drug treatment could personalize clinical decision-making, minimize unnecessary drug exposure, and achieve better outcomes. Four longitudinal plasma samples were collected from each of ten patients with MDD treated with antidepressants for 10 weeks. Plasma proteins were analyzed qualitatively and quantitatively with a nanoflow LC-MS/MS technique. Of 1153 proteins identified in the 40 longitudinal plasma samples, 37 proteins were significantly associated with response/time and clustered into six according to time and response by …

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. …

Dialib-Qc An Assessment Tool For Spectral Libraries In Data-Independent Acquisition Proteomics., Mukul K Midha, David S Campbell, Charu Kapil, Ulrike Kusebauch, Michael R Hoopmann, Samuel L Bader, Robert L Moritz

Articles, Abstracts, and Reports

Data-independent acquisition (DIA) mass spectrometry, also known as Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH), is a popular label-free proteomics strategy to comprehensively quantify peptides/proteins utilizing mass spectral libraries to decipher inherently multiplexed spectra collected linearly across a mass range. Although there are many spectral libraries produced worldwide, the quality control of these libraries is lacking. We present the DIALib-QC (DIA library quality control) software tool for the systematic evaluation of a library's characteristics, completeness and correctness across 62 parameters of compliance, and further provide the option to improve its quality. We demonstrate its utility in assessing and …

Emergence Of Organisms., Andrea Roli, Stuart A Kauffman

Articles, Abstracts, and Reports

Since early cybernetics studies by Wiener, Pask, and Ashby, the properties of living systems are subject to deep investigations. The goals of this endeavour are both understanding and building: abstract models and general principles are sought for describing organisms, their dynamics and their ability to produce adaptive behavior. This research has achieved prominent results in fields such as artificial intelligence and artificial life. For example, today we have robots capable of exploring hostile environments with high level of self-sufficiency, planning capabilities and able to learn. Nevertheless, the discrepancy between the emergence and evolution of life and artificial systems is still …

A High-Stringency Blueprint Of The Human Proteome., Subash Adhikari, Edouard C Nice, Eric W Deutsch, Lydie Lane, Gilbert S Omenn, Stephen R Pennington, Young-Ki Paik, Christopher M Overall, Fernando J Corrales, Ileana M Cristea, Jennifer E Van Eyk, Mathias Uhlén, Cecilia Lindskog, Daniel W Chan, Amos Bairoch, James C Waddington, Joshua L Justice, Joshua Labaer, Henry Rodriguez, Fuchu He, Markus Kostrzewa, Peipei Ping, Rebekah L Gundry, Peter Stewart, Sanjeeva Srivastava, Sudhir Srivastava, Fabio C S Nogueira, Gilberto B Domont, Yves Vandenbrouck, Maggie P Y Lam, Sara Wennersten, Juan Antonio Vizcaino, Marc Wilkins, Jochen M Schwenk, Emma Lundberg, Nuno Bandeira, Gyorgy Marko-Varga, Susan T Weintraub, Charles Pineau, Ulrike Kusebauch, Robert L Moritz, Seong Beom Ahn, Magnus Palmblad, Michael P Snyder, Ruedi Aebersold, Mark S Baker

Articles, Abstracts, and Reports

The Human Proteome Organization (HUPO) launched the Human Proteome Project (HPP) in 2010, creating an international framework for global collaboration, data sharing, quality assurance and enhancing accurate annotation of the genome-encoded proteome. During the subsequent decade, the HPP established collaborations, developed guidelines and metrics, and undertook reanalysis of previously deposited community data, continuously increasing the coverage of the human proteome. On the occasion of the HPP's tenth anniversary, we here report a 90.4% complete high-stringency human proteome blueprint. This knowledge is essential for discerning molecular processes in health and disease, as we demonstrate by highlighting potential roles the human proteome …

Health And Disease Markers Correlate With Gut Microbiome Composition Across Thousands Of People., Ohad Manor, Chengzhen L Dai, Sergey A Kornilov, Brett Smith, Nathan D Price, Jennifer C Lovejoy, Sean M Gibbons, Andrew T Magis

Articles, Abstracts, and Reports

Variation in the human gut microbiome can reflect host lifestyle and behaviors and influence disease biomarker levels in the blood. Understanding the relationships between gut microbes and host phenotypes are critical for understanding wellness and disease. Here, we examine associations between the gut microbiota and ~150 host phenotypic features across ~3,400 individuals. We identify major axes of taxonomic variance in the gut and a putative diversity maximum along the Firmicutes-to-Bacteroidetes axis. Our analyses reveal both known and unknown associations between microbiome composition and host clinical markers and lifestyle factors, including host-microbe associations that are composition-specific. These results suggest potential opportunities …

Graph-Based Exploitation Of Gene Ontology Using Goxplorer For Scrutinizing Biological Significance., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib

Articles, Abstracts, and Reports

Gene ontology (GO) is an eminent knowledge base frequently used for providing biological interpretations for the analysis of genes or gene sets from biological, medical and clinical problems. Unfortunately, the interpretation of such results is challenging due to the large number of GO terms, their hierarchical and connected organization as directed acyclic graphs (DAGs) and the lack of tools allowing to exploit this structural information explicitly. For this reason, we developed the R package GOxploreR. The main features of GOxploreR are (I) easy and direct access to structural features of GO, (II) structure-based ranking of GO-terms, (III) mapping to reduced …

Society For Immunotherapy Of Cancer Clinical And Biomarkers Data Sharing Resource Document: Volume I-Conceptual Challenges., Sergio Rutella, Michael A Cannarile, Sacha Gnjatic, Bruno Gomes, Justin Guinney, Vaios Karanikas, Mohan Karkada, John M Kirkwood, Beatrix Kotlan, Giuseppe V Masucci, Els Meeusen, Anne Monette, Aung Naing, Vésteinn Thorsson, Nicholas Tschernia, Ena Wang, Daniel K Wells, Timothy L Wyant, Alessandra Cesano

Articles, Abstracts, and Reports

The sharing of clinical trial data and biomarker data sets among the scientific community, whether the data originates from pharmaceutical companies or academic institutions, is of critical importance to enable the development of new and improved cancer immunotherapy modalities. Through data sharing, a better understanding of current therapies in terms of their efficacy, safety and biomarker data profiles can be achieved. However, the sharing of these data sets involves a number of stakeholder groups including patients, researchers, private industry, scientific journals and professional societies. Each of these stakeholder groups has differing interests in the use and sharing of clinical trial …

Raman-Guided Subcellular Pharmaco-Metabolomics For Metastatic Melanoma Cells., Jiajun Du, Yapeng Su, Chenxi Qian, Dan Yuan, Kun Miao, Dongkwan Lee, Alphonsus H C Ng, Reto S Wijker, Antoni Ribas, Raphael D Levine, James R Heath, Lu Wei

Articles, Abstracts, and Reports

Non-invasively probing metabolites within single live cells is highly desired but challenging. Here we utilize Raman spectro-microscopy for spatial mapping of metabolites within single cells, with the specific goal of identifying druggable metabolic susceptibilities from a series of patient-derived melanoma cell lines. Each cell line represents a different characteristic level of cancer cell de-differentiation. First, with Raman spectroscopy, followed by stimulated Raman scattering (SRS) microscopy and transcriptomics analysis, we identify the fatty acid synthesis pathway as a druggable susceptibility for differentiated melanocytic cells. We then utilize hyperspectral-SRS imaging of intracellular lipid droplets to identify a previously unknown susceptibility of lipid …

Atlas Of Transcription Factor Binding Sites From Encode Dnase Hypersensitivity Data Across 27 Tissue Types., Cory C Funk, Alex M Casella, Segun Jung, Matthew A Richards, Alex Rodriguez, Paul Shannon, Rory Donovan-Maiye, Ben Heavner, Kyle Chard, Yukai Xiao, Gustavo Glusman, Nilufer Ertekin-Taner, Todd E Golde, Arthur Toga, Leroy Hood, John D Van Horn, Carl Kesselman, Ian Foster, Ravi Madduri, Nathan D Price, Seth A Ament

Articles, Abstracts, and Reports

Characterizing the tissue-specific binding sites of transcription factors (TFs) is essential to reconstruct gene regulatory networks and predict functions for non-coding genetic variation. DNase-seq footprinting enables the prediction of genome-wide binding sites for hundreds of TFs simultaneously. Despite the public availability of high-quality DNase-seq data from hundreds of samples, a comprehensive, up-to-date resource for the locations of genomic footprints is lacking. Here, we develop a scalable footprinting workflow using two state-of-the-art algorithms: Wellington and HINT. We apply our workflow to detect footprints in 192 ENCODE DNase-seq experiments and predict the genomic occupancy of 1,515 human TFs in 27 human tissues. …

Brainstem Ischemic Syndrome In Juvenile Nf2., John W Henson, Tara Benkers, Connor Mccormick

Articles, Abstracts, and Reports

Objective: A new case of brainstem ischemic necrosis in a young woman with de novo neurofibromatosis type 2 (NF2) is reported, and given notable similarities to 7 prior cases of brainstem stroke in the literature, features defining a possible syndrome were sought.

Methods: Case review including detailed clinical assessment, neuroimaging analysis, genetic testing, and brain biopsy, followed by a multicase analysis.

Results: Brainstem ischemia in juvenile NF2 typically occurs in teenagers without previously known NF2 as an acute, monophasic presentation with restricted diffusion in the midbrain or pons following a recent hypoperfusion event, normal vascular imaging, obvious intracranial imaging features …

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 …

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 …