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Articles 1 - 6 of 6
Full-Text Articles in Genetics and Genomics
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
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 …
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
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 …
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
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 …
Graph-Based Exploitation Of Gene Ontology Using Goxplorer For Scrutinizing Biological Significance., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib
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 …
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
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 …
Micom: Metagenome-Scale Modeling To Infer Metabolic Interactions In The Gut Microbiota., Christian Diener, Sean M Gibbons, Osbaldo Resendis-Antonio
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 …