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Articles 121 - 144 of 144
Full-Text Articles in Genetics and Genomics
Odelay: A Large-Scale Method For Multi-Parameter Quantification Of Yeast Growth., Thurston Herricks, Fred D Mast, Song Li, John D Aitchison
Odelay: A Large-Scale Method For Multi-Parameter Quantification Of Yeast Growth., Thurston Herricks, Fred D Mast, Song Li, John D Aitchison
Articles, Abstracts, and Reports
Growth phenotypes of microorganisms are a strong indicator of their underlying genetic fitness and can be segregated into 3 growth regimes: lag-phase, log-phase, and stationary-phase. Each growth phase can reveal different aspects of fitness that are related to various environmental and genetic conditions. High-resolution and quantitative measurements of all 3 phases of growth are generally difficult to obtain. Here we present a detailed method to characterize all 3 growth phases on solid media using an assay called One-cell Doubling Evaluation of Living Arrays of Yeast (ODELAY). ODELAY quantifies growth phenotypes of individual cells growing into colonies on solid media using …
Meta-Analysis Of Five Genome-Wide Association Studies Identifies Multiple New Loci Associated With Testicular Germ Cell Tumor., Zhaoming Wang, Katherine A Mcglynn, Ewa Rajpert-De Meyts, D Timothy Bishop, Charles C Chung, Marlene D Dalgaard, Mark H Greene, Ramneek Gupta, Tom Grotmol, Trine B Haugen, Robert Karlsson, Kevin Litchfield, Nandita Mitra, Kasper Nielsen, Louise C Pyle, Stephen M Schwartz, Vésteinn Thorsson, Saran Vardhanabhuti, Fredrik Wiklund, Clare Turnbull, Stephen J Chanock, Peter A Kanetsky, Katherine L Nathanson
Meta-Analysis Of Five Genome-Wide Association Studies Identifies Multiple New Loci Associated With Testicular Germ Cell Tumor., Zhaoming Wang, Katherine A Mcglynn, Ewa Rajpert-De Meyts, D Timothy Bishop, Charles C Chung, Marlene D Dalgaard, Mark H Greene, Ramneek Gupta, Tom Grotmol, Trine B Haugen, Robert Karlsson, Kevin Litchfield, Nandita Mitra, Kasper Nielsen, Louise C Pyle, Stephen M Schwartz, Vésteinn Thorsson, Saran Vardhanabhuti, Fredrik Wiklund, Clare Turnbull, Stephen J Chanock, Peter A Kanetsky, Katherine L Nathanson
Articles, Abstracts, and Reports
The international Testicular Cancer Consortium (TECAC) combined five published genome-wide association studies of testicular germ cell tumor (TGCT; 3,558 cases and 13,970 controls) to identify new susceptibility loci. We conducted a fixed-effects meta-analysis, including, to our knowledge, the first analysis of the X chromosome. Eight new loci mapping to 2q14.2, 3q26.2, 4q35.2, 7q36.3, 10q26.13, 15q21.3, 15q22.31, and Xq28 achieved genome-wide significance (P < 5 × 10
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
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) …
Bcl11b And Combinatorial Resolution Of Cell Fate In The T-Cell Gene Regulatory Network., William J R Longabaugh, Weihua Zeng, Jingli A Zhang, Hiroyuki Hosokawa, Camden S Jansen, Long Li, Maile Romero-Wolf, Pentao Liu, Hao Yuan Kueh, Ali Mortazavi, Ellen V Rothenberg
Bcl11b And Combinatorial Resolution Of Cell Fate In The T-Cell Gene Regulatory Network., William J R Longabaugh, Weihua Zeng, Jingli A Zhang, Hiroyuki Hosokawa, Camden S Jansen, Long Li, Maile Romero-Wolf, Pentao Liu, Hao Yuan Kueh, Ali Mortazavi, Ellen V Rothenberg
Articles, Abstracts, and Reports
T-cell development from hematopoietic progenitors depends on multiple transcription factors, mobilized and modulated by intrathymic Notch signaling. Key aspects of T-cell specification network architecture have been illuminated through recent reports defining roles of transcription factors PU.1, GATA-3, and E2A, their interactions with Notch signaling, and roles of Runx1, TCF-1, and Hes1, providing bases for a comprehensively updated model of the T-cell specification gene regulatory network presented herein. However, the role of lineage commitment factor Bcl11b has been unclear. We use self-organizing maps on 63 RNA-seq datasets from normal and perturbed T-cell development to identify functional targets of Bcl11b during commitment …
Solving The Influence Maximization Problem Reveals Regulatory Organization Of The Yeast Cell Cycle., David L Gibbs, Ilya Shmulevich
Solving The Influence Maximization Problem Reveals Regulatory Organization Of The Yeast Cell Cycle., David L Gibbs, Ilya Shmulevich
Articles, Abstracts, and Reports
The Influence Maximization Problem (IMP) aims to discover the set of nodes with the greatest influence on network dynamics. The problem has previously been applied in epidemiology and social network analysis. Here, we demonstrate the application to cell cycle regulatory network analysis for Saccharomyces cerevisiae. Fundamentally, gene regulation is linked to the flow of information. Therefore, our implementation of the IMP was framed as an information theoretic problem using network diffusion. Utilizing more than 26,000 regulatory edges from YeastMine, gene expression dynamics were encoded as edge weights using time lagged transfer entropy, a method for quantifying information transfer between variables. …
Modulation Of Bax And Mtor For Cancer Therapeutics., Rui Li, Chunyong Ding, Jun Zhang, Maohua Xie, Dongkyoo Park, Ye Ding, Guo Chen, Guojing Zhang, Melissa Gilbert-Ross, Wei Zhou, Adam I Marcus, Shi-Yong Sun, Zhuo G Chen, Gabriel L Sica, Suresh S Ramalingam, Andrew T Magis, Haian Fu, Fadlo R Khuri, Walter J Curran, Taofeek K Owonikoko, Dong M Shin, Jia Zhou, Xingming Deng
Modulation Of Bax And Mtor For Cancer Therapeutics., Rui Li, Chunyong Ding, Jun Zhang, Maohua Xie, Dongkyoo Park, Ye Ding, Guo Chen, Guojing Zhang, Melissa Gilbert-Ross, Wei Zhou, Adam I Marcus, Shi-Yong Sun, Zhuo G Chen, Gabriel L Sica, Suresh S Ramalingam, Andrew T Magis, Haian Fu, Fadlo R Khuri, Walter J Curran, Taofeek K Owonikoko, Dong M Shin, Jia Zhou, Xingming Deng
Articles, Abstracts, and Reports
A rationale exists for pharmacologic manipulation of the serine (S)184 phosphorylation site of the proapoptotic Bcl2 family member Bax as an anticancer strategy. Here, we report the refinement of the Bax agonist SMBA1 to generate CYD-2-11, which has characteristics of a suitable clinical lead compound. CYD-2-11 targeted the structural pocket proximal to S184 in the C-terminal region of Bax, directly activating its proapoptotic activity by inducing a conformational change enabling formation of Bax homooligomers in mitochondrial membranes. In murine models of small-cell and non-small cell lung cancers, including patient-derived xenograft and the genetically engineered mutant KRAS-driven lung cancer models, CYD-2-11 …
A Cell-Surface Membrane Protein Signature For Glioblastoma., Dhimankrishna Ghosh, Cory C Funk, Juan Caballero, Nameeta Shah, Katherine Rouleau, John C Earls, Liliana Soroceanu, Greg Foltz, Charles Cobbs, Nathan D Price, Leroy Hood
A Cell-Surface Membrane Protein Signature For Glioblastoma., Dhimankrishna Ghosh, Cory C Funk, Juan Caballero, Nameeta Shah, Katherine Rouleau, John C Earls, Liliana Soroceanu, Greg Foltz, Charles Cobbs, Nathan D Price, Leroy Hood
Articles, Abstracts, and Reports
We present a systems strategy that facilitated the development of a molecular signature for glioblastoma (GBM), composed of 33 cell-surface transmembrane proteins. This molecular signature, GBMSig, was developed through the integration of cell-surface proteomics and transcriptomics from patient tumors in the REMBRANDT (n = 228) and TCGA datasets (n = 547) and can separate GBM patients from control individuals with a Matthew's correlation coefficient value of 0.87 in a lock-down test. Functionally, 17/33 GBMSig proteins are associated with transforming growth factor β signaling pathways, including CD47, SLC16A1, HMOX1, and MRC2. Knockdown of these genes impaired GBM invasion, reflecting their role …
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
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.
Optimal Nutrition And The Ever-Changing Dietary Landscape: A Conference Report., A Shao, A Drewnowski, D C Willcox, L Krämer, Christopher G Lausted, M Eggersdorfer, J Mathers, J D Bell, R K Randolph, R Witkamp, J C Griffiths
Optimal Nutrition And The Ever-Changing Dietary Landscape: A Conference Report., A Shao, A Drewnowski, D C Willcox, L Krämer, Christopher G Lausted, M Eggersdorfer, J Mathers, J D Bell, R K Randolph, R Witkamp, J C Griffiths
Articles, Abstracts, and Reports
The field of nutrition has evolved rapidly over the past century. Nutrition scientists and policy makers in the developed world have shifted the focus of their efforts from dealing with diseases of overt nutrient deficiency to a new paradigm aimed at coping with conditions of excess-calories, sedentary lifestyles and stress. Advances in nutrition science, technology and manufacturing have largely eradicated nutrient deficiency diseases, while simultaneously facing the growing challenges of obesity, non-communicable diseases and aging. Nutrition research has gone through a necessary evolution, starting with a reductionist approach, driven by an ambition to understand the mechanisms responsible for the effects …
Processes On The Emergent Landscapes Of Biochemical Reaction Networks And Heterogeneous Cell Population Dynamics: Differentiation In Living Matters., Sui Huang, Fangting Li, Joseph X Zhou, Hong Qian
Processes On The Emergent Landscapes Of Biochemical Reaction Networks And Heterogeneous Cell Population Dynamics: Differentiation In Living Matters., Sui Huang, Fangting Li, Joseph X Zhou, Hong Qian
Articles, Abstracts, and Reports
The notion of an attractor has been widely employed in thinking about the nonlinear dynamics of organisms and biological phenomena as systems and as processes. The notion of a landscape with valleys and mountains encoding multiple attractors, however, has a rigorous foundation only for closed, thermodynamically non-driven, chemical systems, such as a protein. Recent advances in the theory of nonlinear stochastic dynamical systems and its applications to mesoscopic reaction networks, one reaction at a time, have provided a new basis for a landscape of open, driven biochemical reaction systems under sustained chemostat. The theory is equally applicable not only to …
Combining Inferred Regulatory And Reconstructed Metabolic Networks Enhances Phenotype Prediction In Yeast., Zhuo Wang, Samuel A Danziger, Benjamin D Heavner, Shuyi Ma, Jennifer J Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin Baliga, John D Aitchison, Nathan D Price
Combining Inferred Regulatory And Reconstructed Metabolic Networks Enhances Phenotype Prediction In Yeast., Zhuo Wang, Samuel A Danziger, Benjamin D Heavner, Shuyi Ma, Jennifer J Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin Baliga, John D Aitchison, Nathan D Price
Articles, Abstracts, and Reports
Gene regulatory and metabolic network models have been used successfully in many organisms, but inherent differences between them make networks difficult to integrate. Probabilistic Regulation Of Metabolism (PROM) provides a partial solution, but it does not incorporate network inference and underperforms in eukaryotes. We present an Integrated Deduced And Metabolism (IDREAM) method that combines statistically inferred Environment and Gene Regulatory Influence Network (EGRIN) models with the PROM framework to create enhanced metabolic-regulatory network models. We used IDREAM to predict phenotypes and genetic interactions between transcription factors and genes encoding metabolic activities in the eukaryote, Saccharomyces cerevisiae. IDREAM models contain many …
Longitudinal Peripheral Blood Transcriptional Analysis Of A Patient With Severe Ebola Virus Disease., John C Kash, Kathie-Anne Walters, Jason Kindrachuk, David Baxter, Kelsey Scherler, Krisztina B Janosko, Rick D Adams, Andrew S Herbert, Rebekah M James, Spencer W Stonier, Matthew J Memoli, John M Dye, Richard T Davey, Daniel S Chertow, Jeffery K Taubenberger
Longitudinal Peripheral Blood Transcriptional Analysis Of A Patient With Severe Ebola Virus Disease., John C Kash, Kathie-Anne Walters, Jason Kindrachuk, David Baxter, Kelsey Scherler, Krisztina B Janosko, Rick D Adams, Andrew S Herbert, Rebekah M James, Spencer W Stonier, Matthew J Memoli, John M Dye, Richard T Davey, Daniel S Chertow, Jeffery K Taubenberger
Articles, Abstracts, and Reports
The 2013-2015 outbreak of Ebola virus disease in Guinea, Liberia, and Sierra Leone was unprecedented in the number of documented cases, but there have been few published reports on immune responses in clinical cases and their relationships with the course of illness and severity of Ebola virus disease. Symptoms of Ebola virus disease can include severe headache, myalgia, asthenia, fever, fatigue, diarrhea, vomiting, abdominal pain, and hemorrhage. Although experimental treatments are in development, there are no current U.S. Food and Drug Administration-approved vaccines or therapies. We report a detailed study of host gene expression as measured by microarray in daily …
Evolutionary History Of Tibetans Inferred From Whole-Genome Sequencing., Hao Hu, Nayia Petousi, Gustavo Glusman, Yao Yu, Ryan Bohlender, Tsewang Tashi, Jonathan M Downie, Jared C Roach, Amy M Cole, Felipe R Lorenzo, Alan R Rogers, Mary E Brunkow, Gianpiero Cavalleri, Leroy Hood, Sama M Alpatty, Josef T Prchal, Lynn B Jorde, Peter A Robbins, Tatum S Simonson, Chad D Huff
Evolutionary History Of Tibetans Inferred From Whole-Genome Sequencing., Hao Hu, Nayia Petousi, Gustavo Glusman, Yao Yu, Ryan Bohlender, Tsewang Tashi, Jonathan M Downie, Jared C Roach, Amy M Cole, Felipe R Lorenzo, Alan R Rogers, Mary E Brunkow, Gianpiero Cavalleri, Leroy Hood, Sama M Alpatty, Josef T Prchal, Lynn B Jorde, Peter A Robbins, Tatum S Simonson, Chad D Huff
Articles, Abstracts, and Reports
The indigenous people of the Tibetan Plateau have been the subject of much recent interest because of their unique genetic adaptations to high altitude. Recent studies have demonstrated that the Tibetan EPAS1 haplotype is involved in high altitude-adaptation and originated in an archaic Denisovan-related population. We sequenced the whole-genomes of 27 Tibetans and conducted analyses to infer a detailed history of demography and natural selection of this population. We detected evidence of population structure between the ancestral Han and Tibetan subpopulations as early as 44 to 58 thousand years ago, but with high rates of gene flow until approximately 9 …
Mir-144 Attenuates The Host Response To Influenza Virus By Targeting The Traf6-Irf7 Signaling Axis., Carrie M Rosenberger, Rebecca L Podyminogin, Alan H Diercks, Piper M Treuting, Jacques J Peschon, David Rodriguez, Madhumati Gundapuneni, Mitchell J Weiss, Alan Aderem
Mir-144 Attenuates The Host Response To Influenza Virus By Targeting The Traf6-Irf7 Signaling Axis., Carrie M Rosenberger, Rebecca L Podyminogin, Alan H Diercks, Piper M Treuting, Jacques J Peschon, David Rodriguez, Madhumati Gundapuneni, Mitchell J Weiss, Alan Aderem
Articles, Abstracts, and Reports
Antiviral responses must rapidly defend against infection while minimizing inflammatory damage, but the mechanisms that regulate the magnitude of response within an infected cell are not well understood. miRNAs are small non-coding RNAs that suppress protein levels by binding target sequences on their cognate mRNA. Here, we identify miR-144 as a negative regulator of the host antiviral response. Ectopic expression of miR-144 resulted in increased replication of three RNA viruses in primary mouse lung epithelial cells: influenza virus, EMCV, and VSV. We identified the transcriptional network regulated by miR-144 and demonstrate that miR-144 post-transcriptionally suppresses TRAF6 levels. In vivo ablation …
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
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
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
High Resolution Time-Course Mapping Of Early Transcriptomic, Molecular And Cellular Phenotypes In Huntington's Disease Cag Knock-In Mice Across Multiple Genetic Backgrounds., Seth A Ament, Jocelynn R Pearl, Andrea Grindeland, Jason St Claire, John C Earls, Marina Kovalenko, Tammy Gillis, Jayalakshmi Mysore, James F Gusella, Jong-Min Lee, Seung Kwak, David Howland, Min Young Lee, David Baxter, Kelsey Scherler, Kai Wang, Donald Geman, Jeffrey B Carroll, Marcy E Macdonald, George Carlson, Vanessa C Wheeler, Nathan D Price, Leroy Hood
High Resolution Time-Course Mapping Of Early Transcriptomic, Molecular And Cellular Phenotypes In Huntington's Disease Cag Knock-In Mice Across Multiple Genetic Backgrounds., Seth A Ament, Jocelynn R Pearl, Andrea Grindeland, Jason St Claire, John C Earls, Marina Kovalenko, Tammy Gillis, Jayalakshmi Mysore, James F Gusella, Jong-Min Lee, Seung Kwak, David Howland, Min Young Lee, David Baxter, Kelsey Scherler, Kai Wang, Donald Geman, Jeffrey B Carroll, Marcy E Macdonald, George Carlson, Vanessa C Wheeler, Nathan D Price, Leroy Hood
Articles, Abstracts, and Reports
Huntington's disease is a dominantly inherited neurodegenerative disease caused by the expansion of a CAG repeat in the HTT gene. In addition to the length of the CAG expansion, factors such as genetic background have been shown to contribute to the age at onset of neurological symptoms. A central challenge in understanding the disease progression that leads from the HD mutation to massive cell death in the striatum is the ability to characterize the subtle and early functional consequences of the CAG expansion longitudinally. We used dense time course sampling between 4 and 20 postnatal weeks to characterize early transcriptomic, …
A Systematic Study Of Dysregulated Microrna In Type 2 Diabetes Mellitus., Yuqing He, Yuanlin Ding, Biyu Liang, Juanjuan Lin, Taek-Kyun Kim, Haibing Yu, Hanwei Hang, Kai Wang
A Systematic Study Of Dysregulated Microrna In Type 2 Diabetes Mellitus., Yuqing He, Yuanlin Ding, Biyu Liang, Juanjuan Lin, Taek-Kyun Kim, Haibing Yu, Hanwei Hang, Kai Wang
Articles, Abstracts, and Reports
MicroRNAs (miRNAs) are small noncoding RNAs that modulate the cellular transcriptome at the post-transcriptional level. miRNA plays important roles in different disease manifestation, including type 2 diabetes mellitus (T2DM). Many studies have characterized the changes of miRNAs in T2DM, a complex systematic disease; however, few studies have integrated these findings and explored the functional effects of the dysregulated miRNAs identified. To investigate the involvement of miRNAs in T2DM, we obtained and analyzed all relevant studies published prior to 18 October 2016 from various literature databases. From 59 independent studies that met the inclusion criteria, we identified 158 dysregulated miRNAs in …
Differences Between The Genomes Of Lymphoblastoid Cell Lines And Blood-Derived Samples., Lena M Joesch-Cohen, Gustavo Glusman
Differences Between The Genomes Of Lymphoblastoid Cell Lines And Blood-Derived Samples., Lena M Joesch-Cohen, Gustavo Glusman
Articles, Abstracts, and Reports
Lymphoblastoid cell lines (LCLs) represent a convenient research tool for expanding the amount of biologic material available from an individual. LCLs are commonly used as reference materials, most notably from the Genome in a Bottle Consortium. However, the question remains how faithfully LCL-derived genome assemblies represent the germline genome of the donor individual as compared to the genome assemblies derived from peripheral blood mononuclear cells. We present an in-depth comparison of a large collection of LCL- and peripheral blood mononuclear cell-derived genomes in terms of distributions of coverage and copy number alterations. We found significant differences in the depth of …
Peripheral Huntingtin Silencing Does Not Ameliorate Central Signs Of Disease In The B6.Httq111/+ Mouse Model Of Huntington's Disease., Sydney R Coffey, Robert M Bragg, Shawn Minnig, Seth A Ament, Jeffrey P Cantle, Anne Glickenhaus, Daniel Shelnut, José M Carrillo, Dominic D Shuttleworth, Julie-Anne Rodier, Kimihiro Noguchi, C Frank Bennett, Nathan D Price, Holly B Kordasiewicz, Jeffrey B Carroll
Peripheral Huntingtin Silencing Does Not Ameliorate Central Signs Of Disease In The B6.Httq111/+ Mouse Model Of Huntington's Disease., Sydney R Coffey, Robert M Bragg, Shawn Minnig, Seth A Ament, Jeffrey P Cantle, Anne Glickenhaus, Daniel Shelnut, José M Carrillo, Dominic D Shuttleworth, Julie-Anne Rodier, Kimihiro Noguchi, C Frank Bennett, Nathan D Price, Holly B Kordasiewicz, Jeffrey B Carroll
Articles, Abstracts, and Reports
Huntington's disease (HD) is an autosomal dominant neurodegenerative disease whose predominant neuropathological signature is the selective loss of medium spiny neurons in the striatum. Despite this selective neuropathology, the mutant protein (huntingtin) is found in virtually every cell so far studied, and, consequently, phenotypes are observed in a wide range of organ systems both inside and outside the central nervous system. We, and others, have suggested that peripheral dysfunction could contribute to the rate of progression of striatal phenotypes of HD. To test this hypothesis, we lowered levels of huntingtin by treating mice with antisense oligonucleotides (ASOs) targeting the murine …
The Rs16906252:C>T Snp Is Not Associated With Increased Overall Survival Or Temozolomide Response In A Han-Chinese Glioma Cohort., Kuo-Chen Wei, Chia-Yuan Chen, Li-Ying Feng, Wei-Tzu Huang, Chia-Hua Chen, Peng-Wei Hsu, Kai Wang, Leroy Hood, Leslie Y Chen
The Rs16906252:C>T Snp Is Not Associated With Increased Overall Survival Or Temozolomide Response In A Han-Chinese Glioma Cohort., Kuo-Chen Wei, Chia-Yuan Chen, Li-Ying Feng, Wei-Tzu Huang, Chia-Hua Chen, Peng-Wei Hsu, Kai Wang, Leroy Hood, Leslie Y Chen
Articles, Abstracts, and Reports
The methylation status of O-6-methylguanine-DNA methyltransferase (MGMT) is associated with the prognosis in gliomas and in other cancers. Recent studies showed that rs16906252, an SNP in the MGMT promoter, is associated with promoter methylation and is a predictor of the overall survival time (OST) and the response to temozolomide (TMZ) treatment. However, these findings haven't been systematically investigated in the Han-Chinese population. We analyzed the relevance between rs16906252 polymorphisms, the MGMT methylation status, and the OST in 72 Han-Chinese gliomas patients. The MGMT promoter methylation was measured by bisulfite conversion followed by pyro-sequencing, while rs16906252 was measured by restriction endonuclease …
An Indicator Cell Assay For Blood-Based Diagnostics., Samuel A Danziger, Leslie R Miller, Karanbir Singh, G Adam Whitney, Elaine R Peskind, Ge Li, Robert J Lipshutz, John D Aitchison, Jennifer J Smith
An Indicator Cell Assay For Blood-Based Diagnostics., Samuel A Danziger, Leslie R Miller, Karanbir Singh, G Adam Whitney, Elaine R Peskind, Ge Li, Robert J Lipshutz, John D Aitchison, Jennifer J Smith
Articles, Abstracts, and Reports
We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients' blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% …
Crops In Silico: Generating Virtual Crops Using An Integrative And Multi-Scale Modeling Platform, Amy Marshall-Colon, Stephen P Long, Douglas K Allen, Gabrielle Allen, Daniel A Beard, Bedrich Benes, Susanne Von Caemmerer, A J Christensen, Donna J Cox, John C Hart, Peter M Hirst, Kavya Kannan, Daniel S Katz, Jonathan P Lynch, Andrew J Millar, Balaji Panneerselvam, Nathan D Price, Przemyslaw Prusinkiewicz, David Raila, Rachel G Shekar, Stuti Shrivastava, Diwakar Shukla, Venkatraman Srinivasan, Mark Stitt, Matthew J Turk, Eberhard O Voit, Yu Wang, Xinyou Yin, Xin-Guang Zhu
Crops In Silico: Generating Virtual Crops Using An Integrative And Multi-Scale Modeling Platform, Amy Marshall-Colon, Stephen P Long, Douglas K Allen, Gabrielle Allen, Daniel A Beard, Bedrich Benes, Susanne Von Caemmerer, A J Christensen, Donna J Cox, John C Hart, Peter M Hirst, Kavya Kannan, Daniel S Katz, Jonathan P Lynch, Andrew J Millar, Balaji Panneerselvam, Nathan D Price, Przemyslaw Prusinkiewicz, David Raila, Rachel G Shekar, Stuti Shrivastava, Diwakar Shukla, Venkatraman Srinivasan, Mark Stitt, Matthew J Turk, Eberhard O Voit, Yu Wang, Xinyou Yin, Xin-Guang Zhu
Articles, Abstracts, and Reports
Multi-scale models can facilitate whole plant simulations by linking gene networks, protein synthesis, metabolic pathways, physiology, and growth. Whole plant models can be further integrated with ecosystem, weather, and climate models to predict how various interactions respond to environmental perturbations. These models have the potential to fill in missing mechanistic details and generate new hypotheses to prioritize directed engineering efforts. Outcomes will potentially accelerate improvement of crop yield, sustainability, and increase future food security. It is time for a paradigm shift in plant modeling, from largely isolated efforts to a connected community that takes advantage of advances in high performance …
An Open Data Format For Visualization And Analysis Of Cross-Linked Mass Spectrometry Results., Michael R Hoopmann, Luis Mendoza, Eric W Deutsch, David Shteynberg, Robert L Moritz
An Open Data Format For Visualization And Analysis Of Cross-Linked Mass Spectrometry Results., Michael R Hoopmann, Luis Mendoza, Eric W Deutsch, David Shteynberg, Robert L Moritz
Articles, Abstracts, and Reports
Protein-protein interactions are an important element in the understanding of protein function, and chemical cross-linking shotgun mass spectrometry is rapidly becoming a routine approach to identify these specific interfaces and topographical interactions. Protein cross-link data analysis is aided by dozens of algorithm choices, but hindered by a lack of a common format for representing results. Consequently, interoperability between algorithms and pipelines utilizing chemical cross-linking remains a challenge. pepXML is an open, widely-used format for representing spectral search algorithm results that has facilitated information exchange and pipeline development for typical shotgun mass spectrometry analyses. We describe an extension of this format …