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Full-Text Articles in Medicine and Health Sciences
Comprehensive Characterization Of 536 Patient-Derived Xenograft Models Prioritizes Candidatesfor Targeted Treatment., Hua Sun, Song Cao, R Jay Mashl, Chia-Kuei Mo, Simone Zaccaria, Michael C Wendl, Sherri R Davies, Matthew H Bailey, Tina M Primeau, Jeremy Hoog, Jacqueline L Mudd, Dennis A Dean, Rajesh Patidar, Li Chen, Matthew A Wyczalkowski, Reyka G Jayasinghe, Fernanda Martins Rodrigues, Nadezhda V Terekhanova, Yize Li, Kian-Huat Lim, Andrea Wang-Gillam, Brian A Van Tine, Cynthia X Ma, Rebecca Aft, Katherine C Fuh, Julie K Schwarz, Jose P Zevallos, Sidharth V Puram, John F Dipersio, Nci Pdxnet Consortium, Brandi Davis-Dusenbery, Matthew J Ellis, Michael T Lewis, Michael A Davies, Meenhard Herlyn, Bingliang Fang, Jack A Roth, Alana L Welm, Bryan E Welm, Funda Meric-Bernstam, Feng Chen, Ryan C Fields, Shunqiang Li, Ramaswamy Govindan, James H Doroshow, Jeffrey A Moscow, Yvonne A Evrard, Jeffrey Chuang, Benjamin J Raphael, Li Ding, Carol J Bult, Peter N Robinson
Comprehensive Characterization Of 536 Patient-Derived Xenograft Models Prioritizes Candidatesfor Targeted Treatment., Hua Sun, Song Cao, R Jay Mashl, Chia-Kuei Mo, Simone Zaccaria, Michael C Wendl, Sherri R Davies, Matthew H Bailey, Tina M Primeau, Jeremy Hoog, Jacqueline L Mudd, Dennis A Dean, Rajesh Patidar, Li Chen, Matthew A Wyczalkowski, Reyka G Jayasinghe, Fernanda Martins Rodrigues, Nadezhda V Terekhanova, Yize Li, Kian-Huat Lim, Andrea Wang-Gillam, Brian A Van Tine, Cynthia X Ma, Rebecca Aft, Katherine C Fuh, Julie K Schwarz, Jose P Zevallos, Sidharth V Puram, John F Dipersio, Nci Pdxnet Consortium, Brandi Davis-Dusenbery, Matthew J Ellis, Michael T Lewis, Michael A Davies, Meenhard Herlyn, Bingliang Fang, Jack A Roth, Alana L Welm, Bryan E Welm, Funda Meric-Bernstam, Feng Chen, Ryan C Fields, Shunqiang Li, Ramaswamy Govindan, James H Doroshow, Jeffrey A Moscow, Yvonne A Evrard, Jeffrey Chuang, Benjamin J Raphael, Li Ding, Carol J Bult, Peter N Robinson
Faculty Research 2021
Development of candidate cancer treatments is a resource-intensive process, with the research community continuing to investigate options beyond static genomic characterization. Toward this goal, we have established the genomic landscapes of 536 patient-derived xenograft (PDX) models across 25 cancer types, together with mutation, copy number, fusion, transcriptomic profiles, and NCI-MATCH arms. Compared with human tumors, PDXs typically have higher purity and fit to investigate dynamic driver events and molecular properties via multiple time points from same case PDXs. Here, we report on dynamic genomic landscapes and pharmacogenomic associations, including associations between activating oncogenic events and drugs, correlations between whole-genome duplications …
Profiling Variable-Number Tandem Repeat Variation Across Populations Using Repeat-Pangenome Graphs., Tsung-Yu Lu, Human Genome Structural Variation Consortium, Mark J P Chaisson, Charles Lee, Qihui Zhu
Profiling Variable-Number Tandem Repeat Variation Across Populations Using Repeat-Pangenome Graphs., Tsung-Yu Lu, Human Genome Structural Variation Consortium, Mark J P Chaisson, Charles Lee, Qihui Zhu
Faculty Research 2021
Variable number tandem repeats (VNTRs) are composed of consecutive repetitive DNA with hypervariable repeat count and composition. They include protein coding sequences and associations with clinical disorders. It has been difficult to incorporate VNTR analysis in disease studies that use short-read sequencing because the traditional approach of mapping to the human reference is less effective for repetitive and divergent sequences. In this work, we solve VNTR mapping for short reads with a repeat-pangenome graph (RPGG), a data structure that encodes both the population diversity and repeat structure of VNTR loci from multiple haplotype-resolved assemblies. We develop software to build a …
Fos Rescues Neuronal Differentiation Of Sox2-Deleted Neural Stem Cells By Genome-Wide Regulation Of Common Sox2 And Ap1(Fos-Jun) Target Genes., Miriam Pagin, Mattias Pernebrink, Mattia Pitasi, Federica Malighetti, Chew Yee Ngan, Sergio Ottolenghi, Giulio Pavesi, Claudio Cantù, Silvia K Nicolis
Fos Rescues Neuronal Differentiation Of Sox2-Deleted Neural Stem Cells By Genome-Wide Regulation Of Common Sox2 And Ap1(Fos-Jun) Target Genes., Miriam Pagin, Mattias Pernebrink, Mattia Pitasi, Federica Malighetti, Chew Yee Ngan, Sergio Ottolenghi, Giulio Pavesi, Claudio Cantù, Silvia K Nicolis
Faculty Research 2021
The transcription factor SOX2 is important for brain development and for neural stem cells (NSC) maintenance. Sox2-deleted (Sox2-del) NSC from neonatal mouse brain are lost after few passages in culture. Two highly expressed genes, Fos and Socs3, are strongly downregulated in Sox2-del NSC; we previously showed that Fos or Socs3 overexpression by lentiviral transduction fully rescues NSC's long-term maintenance in culture. Sox2-del NSC are severely defective in neuronal production when induced to differentiate. NSC rescued by Sox2 reintroduction correctly differentiate into neurons. Similarly, Fos transduction rescues normal or even increased numbers of immature neurons expressing beta-tubulinIII, but not …
Discovery Of Widespread Transcription Initiation At Microsatellites Predictable By Sequence-Based Deep Neural Network., Mathys Grapotte, Manu Saraswat, Chloé Bessière, Christophe Menichelli, Jordan A Ramilowski, Jessica Severin, Yoshihide Hayashizaki, Masayoshi Itoh, Michihira Tagami, Mitsuyoshi Murata, Miki Kojima-Ishiyama, Shohei Noma, Shuhei Noguchi, Takeya Kasukawa, Akira Hasegawa, Harukazu Suzuki, Hiromi Nishiyori-Sueki, Martin C Frith, Fantom Consortium, Clément Chatelain, Piero Carninci, Michiel J L De Hoon, Wyeth W Wasserman, Laurent Bréhélin, Charles-Henri Lecellier, Judith A. Blake, Carol J Bult
Discovery Of Widespread Transcription Initiation At Microsatellites Predictable By Sequence-Based Deep Neural Network., Mathys Grapotte, Manu Saraswat, Chloé Bessière, Christophe Menichelli, Jordan A Ramilowski, Jessica Severin, Yoshihide Hayashizaki, Masayoshi Itoh, Michihira Tagami, Mitsuyoshi Murata, Miki Kojima-Ishiyama, Shohei Noma, Shuhei Noguchi, Takeya Kasukawa, Akira Hasegawa, Harukazu Suzuki, Hiromi Nishiyori-Sueki, Martin C Frith, Fantom Consortium, Clément Chatelain, Piero Carninci, Michiel J L De Hoon, Wyeth W Wasserman, Laurent Bréhélin, Charles-Henri Lecellier, Judith A. Blake, Carol J Bult
Faculty Research 2021
Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene and initiate at unconventional regions, outside promoters or enhancers. Here, we probe these unassigned TSSs and show that, in all species studied, a significant fraction of CAGE peaks initiate at microsatellites, also called short tandem repeats (STRs). To confirm this transcription, we develop Cap Trap RNA-seq, a technology which combines cap trapping and long read MinION sequencing. We train sequence-based deep …
Mouse Genome Database (Mgd): Knowledgebase For Mouse-Human Comparative Biology., Judith A. Blake, Richard M. Baldarelli, James A. Kadin, Joel E Richardson, Cynthia Smith, Carol J Bult, Mouse Genome Database Group
Mouse Genome Database (Mgd): Knowledgebase For Mouse-Human Comparative Biology., Judith A. Blake, Richard M. Baldarelli, James A. Kadin, Joel E Richardson, Cynthia Smith, Carol J Bult, Mouse Genome Database Group
Faculty Research 2021
The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism knowledgebase for the laboratory mouse, a widely used animal model for comparative studies of the genetic and genomic basis for human health and disease. MGD is the authoritative source for biological reference data related to mouse genes, gene functions, phenotypes and mouse models of human disease. MGD is the primary source for official gene, allele, and mouse strain nomenclature based on the guidelines set by the International Committee on Standardized Nomenclature for Mice. MGD's biocuration scientists curate information from the biomedical literature and from large and small datasets contributed …