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  • Articles  (2,121)
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  • 1
    Publication Date: 2016-04-29
    Description: To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tirosh, Itay -- Izar, Benjamin -- Prakadan, Sanjay M -- Wadsworth, Marc H 2nd -- Treacy, Daniel -- Trombetta, John J -- Rotem, Asaf -- Rodman, Christopher -- Lian, Christine -- Murphy, George -- Fallahi-Sichani, Mohammad -- Dutton-Regester, Ken -- Lin, Jia-Ren -- Cohen, Ofir -- Shah, Parin -- Lu, Diana -- Genshaft, Alex S -- Hughes, Travis K -- Ziegler, Carly G K -- Kazer, Samuel W -- Gaillard, Aleth -- Kolb, Kellie E -- Villani, Alexandra-Chloe -- Johannessen, Cory M -- Andreev, Aleksandr Y -- Van Allen, Eliezer M -- Bertagnolli, Monica -- Sorger, Peter K -- Sullivan, Ryan J -- Flaherty, Keith T -- Frederick, Dennie T -- Jane-Valbuena, Judit -- Yoon, Charles H -- Rozenblatt-Rosen, Orit -- Shalek, Alex K -- Regev, Aviv -- Garraway, Levi A -- 1U24CA180922/CA/NCI NIH HHS/ -- DP2 OD020839/OD/NIH HHS/ -- K99 CA194163/CA/NCI NIH HHS/ -- K99CA194163/CA/NCI NIH HHS/ -- P01CA163222/CA/NCI NIH HHS/ -- P30-CA14051/CA/NCI NIH HHS/ -- P50GM107618/GM/NIGMS NIH HHS/ -- R35CA197737/CA/NCI NIH HHS/ -- U54CA112962/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Apr 8;352(6282):189-96. doi: 10.1126/science.aad0501.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Department of Chemistry, MIT, Cambridge, MA 02142, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. ; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. ; Program in Therapeutic Sciences, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. ; HMS LINCS Center and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. ; Department of Surgical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Department of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. ; Program in Therapeutic Sciences, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. HMS LINCS Center and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA. Ludwig Center at Harvard, Boston, MA 02215, USA. ; Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Department of Chemistry, MIT, Cambridge, MA 02142, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Department of Immunology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Biology and Koch Institute, MIT, Boston, MA 02142, USA. Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27124452" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Cell Communication ; Cell Cycle ; Drug Resistance, Neoplasm/genetics ; Endothelial Cells/pathology ; Genomics ; Humans ; Immunotherapy ; Lymphocyte Activation ; Melanoma/*genetics/*secondary/therapy ; Microphthalmia-Associated Transcription Factor/metabolism ; Neoplasm Metastasis ; RNA/genetics ; Sequence Analysis, RNA ; Single-Cell Analysis ; Skin Neoplasms/*pathology ; Stromal Cells/pathology ; T-Lymphocytes/immunology/pathology ; Transcriptome ; *Tumor Microenvironment
    Print ISSN: 0036-8075
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-04-02
    Description: Computation can be performed in living cells by DNA-encoded circuits that process sensory information and control biological functions. Their construction is time-intensive, requiring manual part assembly and balancing of regulator expression. We describe a design environment, Cello, in which a user writes Verilog code that is automatically transformed into a DNA sequence. Algorithms build a circuit diagram, assign and connect gates, and simulate performance. Reliable circuit design requires the insulation of gates from genetic context, so that they function identically when used in different circuits. We used Cello to design 60 circuits forEscherichia coli(880,000 base pairs of DNA), for which each DNA sequence was built as predicted by the software with no additional tuning. Of these, 45 circuits performed correctly in every output state (up to 10 regulators and 55 parts), and across all circuits 92% of the output states functioned as predicted. Design automation simplifies the incorporation of genetic circuits into biotechnology projects that require decision-making, control, sensing, or spatial organization.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nielsen, Alec A K -- Der, Bryan S -- Shin, Jonghyeon -- Vaidyanathan, Prashant -- Paralanov, Vanya -- Strychalski, Elizabeth A -- Ross, David -- Densmore, Douglas -- Voigt, Christopher A -- P50 GM098792/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 1;352(6281):aac7341. doi: 10.1126/science.aac7341.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Biological Design Center, Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA. ; Biological Design Center, Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA. ; Biosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20817, USA. ; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. cavoigt@gmail.com.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27034378" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Base Pairing ; Base Sequence ; *Biotechnology ; DNA/*genetics ; Escherichia coli/*genetics ; *Gene Regulatory Networks ; Programming Languages ; Software ; Synthetic Biology
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  • 3
    Publication Date: 2016-04-02
    Description: Recent studies have implicated long noncoding RNAs (lncRNAs) as regulators of many important biological processes. Here we report on the identification and characterization of a lncRNA, lnc13, that harbors a celiac disease-associated haplotype block and represses expression of certain inflammatory genes under homeostatic conditions. Lnc13 regulates gene expression by binding to hnRNPD, a member of a family of ubiquitously expressed heterogeneous nuclear ribonucleoproteins (hnRNPs). Upon stimulation, lnc13 levels are reduced, thereby allowing increased expression of the repressed genes. Lnc13 levels are significantly decreased in small intestinal biopsy samples from patients with celiac disease, which suggests that down-regulation of lnc13 may contribute to the inflammation seen in this disease. Furthermore, the lnc13 disease-associated variant binds hnRNPD less efficiently than its wild-type counterpart, thus helping to explain how these single-nucleotide polymorphisms contribute to celiac disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Castellanos-Rubio, Ainara -- Fernandez-Jimenez, Nora -- Kratchmarov, Radomir -- Luo, Xiaobing -- Bhagat, Govind -- Green, Peter H R -- Schneider, Robert -- Kiledjian, Megerditch -- Bilbao, Jose Ramon -- Ghosh, Sankar -- R01-AI093985/AI/NIAID NIH HHS/ -- R01-DK102180/DK/NIDDK NIH HHS/ -- R01-GM067005/GM/NIGMS NIH HHS/ -- R37-AI33443/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 1;352(6281):91-5. doi: 10.1126/science.aad0467.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology and Immunology, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. ; Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country (UPV-EHU), BioCruces Research Institute, Leioa 48940, Basque Country, Spain. ; Department of Pathology and Cell Biology, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. ; Center for Celiac Disease, Department of Medicine, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. Alexandria Center for Life Sciences, New York University School of Medicine, New York, NY 10016, USA. ; Alexandria Center for Life Sciences, New York University School of Medicine, New York, NY 10016, USA. ; Department of Cell Biology and Neuroscience, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA. ; Department of Microbiology and Immunology, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. sg2715@columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27034373" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Celiac Disease/*genetics/pathology ; Down-Regulation ; Gene Expression Regulation ; *Genetic Predisposition to Disease ; Haplotypes ; Heterogeneous-Nuclear Ribonucleoproteins/genetics ; Humans ; Inflammation/*genetics ; Mice ; Molecular Sequence Data ; Polymorphism, Single Nucleotide ; RNA, Long Noncoding/*genetics
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  • 4
    Publication Date: 2016-03-26
    Description: Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barrera, Luis A -- Vedenko, Anastasia -- Kurland, Jesse V -- Rogers, Julia M -- Gisselbrecht, Stephen S -- Rossin, Elizabeth J -- Woodard, Jaie -- Mariani, Luca -- Kock, Kian Hong -- Inukai, Sachi -- Siggers, Trevor -- Shokri, Leila -- Gordan, Raluca -- Sahni, Nidhi -- Cotsapas, Chris -- Hao, Tong -- Yi, Song -- Kellis, Manolis -- Daly, Mark J -- Vidal, Marc -- Hill, David E -- Bulyk, Martha L -- P50 HG004233/HG/NHGRI NIH HHS/ -- R01 HG003985/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1450-4. doi: 10.1126/science.aad2257. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. ; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Center for Human Genetics Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013732" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Binding Sites ; Computer Simulation ; DNA/*metabolism ; DNA-Binding Proteins/*genetics/metabolism ; Exome/genetics ; *Gene Expression Regulation ; Genetic Diseases, Inborn/*genetics ; Genetic Variation ; Genome, Human ; Humans ; Mutation ; Polymorphism, Single Nucleotide ; Protein Array Analysis ; Protein Binding ; Sequence Analysis, DNA ; Transcription Factors/*genetics/metabolism
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  • 5
    Publication Date: 2015-10-31
    Description: Transcription factors (TFs) bind specific sequences in promoter-proximal and -distal DNA elements to regulate gene transcription. RNA is transcribed from both of these DNA elements, and some DNA binding TFs bind RNA. Hence, RNA transcribed from regulatory elements may contribute to stable TF occupancy at these sites. We show that the ubiquitously expressed TF Yin-Yang 1 (YY1) binds to both gene regulatory elements and their associated RNA species across the entire genome. Reduced transcription of regulatory elements diminishes YY1 occupancy, whereas artificial tethering of RNA enhances YY1 occupancy at these elements. We propose that RNA makes a modest but important contribution to the maintenance of certain TFs at gene regulatory elements and suggest that transcription of regulatory elements produces a positive-feedback loop that contributes to the stability of gene expression programs.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720525/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720525/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sigova, Alla A -- Abraham, Brian J -- Ji, Xiong -- Molinie, Benoit -- Hannett, Nancy M -- Guo, Yang Eric -- Jangi, Mohini -- Giallourakis, Cosmas C -- Sharp, Phillip A -- Young, Richard A -- HG002668/HG/NHGRI NIH HHS/ -- R01 HG002668/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Nov 20;350(6263):978-81. doi: 10.1126/science.aad3346. Epub 2015 Oct 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. ; Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. ; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. David H. Koch Institute for Integrative Cancer Research, Cambridge, MA 02140, USA. ; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. young@wi.mit.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26516199" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Binding Sites ; Cell Line ; Consensus Sequence ; DNA/metabolism ; Embryonic Stem Cells/metabolism ; *Enhancer Elements, Genetic ; *Gene Expression Regulation ; Mice ; *Promoter Regions, Genetic ; RNA, Messenger/*metabolism ; *Transcription, Genetic ; YY1 Transcription Factor/*metabolism
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  • 6
    Publication Date: 2015-10-17
    Description: Transcriptional enhancers direct precise on-off patterns of gene expression during development. To explore the basis for this precision, we conducted a high-throughput analysis of the Otx-a enhancer, which mediates expression in the neural plate of Ciona embryos in response to fibroblast growth factor (FGF) signaling and a localized GATA determinant. We provide evidence that enhancer specificity depends on submaximal recognition motifs having reduced binding affinities ("suboptimization"). Native GATA and ETS (FGF) binding sites contain imperfect matches to consensus motifs. Perfect matches mediate robust but ectopic patterns of gene expression. The native sites are not arranged at optimal intervals, and subtle changes in their spacing alter enhancer activity. Multiple tiers of enhancer suboptimization produce specific, but weak, patterns of expression, and we suggest that clusters of weak enhancers, including certain "superenhancers," circumvent this trade-off in specificity and activity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Farley, Emma K -- Olson, Katrina M -- Zhang, Wei -- Brandt, Alexander J -- Rokhsar, Daniel S -- Levine, Michael S -- GM46638/GM/NIGMS NIH HHS/ -- NS076542/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 2015 Oct 16;350(6258):325-8. doi: 10.1126/science.aac6948.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. msl2@princeton.edu ekfarley@princeton.edu. ; Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. ; Department of Medicine, University of California, San Diego, CA 92093-0688, USA. ; Department of Chemistry, University of California, Berkeley, CA 94720-3200, USA. ; Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26472909" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Binding Sites ; Ciona intestinalis/genetics/*growth & development ; Consensus Sequence ; Enhancer Elements, Genetic/genetics/*physiology ; Fas-Associated Death Domain Protein/metabolism ; Fibroblast Growth Factors/*metabolism ; GATA Transcription Factors/*metabolism ; *Gene Expression Regulation, Developmental ; Molecular Sequence Data ; Organ Specificity/genetics/physiology ; Otx Transcription Factors/*metabolism
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  • 7
    Publication Date: 2015-10-13
    Description: The shortage of organs for transplantation is a major barrier to the treatment of organ failure. Although porcine organs are considered promising, their use has been checked by concerns about the transmission of porcine endogenous retroviruses (PERVs) to humans. Here we describe the eradication of all PERVs in a porcine kidney epithelial cell line (PK15). We first determined the PK15 PERV copy number to be 62. Using CRISPR-Cas9, we disrupted all copies of the PERV pol gene and demonstrated a 〉1000-fold reduction in PERV transmission to human cells, using our engineered cells. Our study shows that CRISPR-Cas9 multiplexability can be as high as 62 and demonstrates the possibility that PERVs can be inactivated for clinical application of porcine-to-human xenotransplantation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yang, Luhan -- Guell, Marc -- Niu, Dong -- George, Haydy -- Lesha, Emal -- Grishin, Dennis -- Aach, John -- Shrock, Ellen -- Xu, Weihong -- Poci, Jurgen -- Cortazio, Rebeca -- Wilkinson, Robert A -- Fishman, Jay A -- Church, George -- P50 HG005550/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Nov 27;350(6264):1101-4. doi: 10.1126/science.aad1191. Epub 2015 Oct 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, MA, USA. Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, USA. eGenesis Biosciences, Boston, MA 02115, USA. gchurch@genetics.med.harvard.edu luhan.yang@egenesisbio.com. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, USA. eGenesis Biosciences, Boston, MA 02115, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. College of Animal Sciences, Zhejiang University, Hangzhou 310058, China. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. ; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. ; Transplant Infectious Disease and Compromised Host Program, Massachusetts General Hospital, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26456528" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; CRISPR-Cas Systems ; Cell Line ; Endogenous Retroviruses/*genetics ; Epithelial Cells/virology ; Gene Dosage ; Gene Targeting/*methods ; Genes, pol ; HEK293 Cells ; Humans ; Kidney/virology ; Molecular Sequence Data ; Retroviridae Infections/*prevention & control/transmission/virology ; Swine/*virology ; Transplantation, Heterologous/*methods ; *Virus Inactivation
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  • 8
    Publication Date: 2015-09-01
    Description: DNA strand exchange plays a central role in genetic recombination across all kingdoms of life, but the physical basis for these reactions remains poorly defined. Using single-molecule imaging, we found that bacterial RecA and eukaryotic Rad51 and Dmc1 all stabilize strand exchange intermediates in precise three-nucleotide steps. Each step coincides with an energetic signature (0.3 kBT) that is conserved from bacteria to humans. Triplet recognition is strictly dependent on correct Watson-Crick pairing. Rad51, RecA, and Dmc1 can all step over mismatches, but only Dmc1 can stabilize mismatched triplets. This finding provides insight into why eukaryotes have evolved a meiosis-specific recombinase. We propose that canonical Watson-Crick base triplets serve as the fundamental unit of pairing interactions during DNA recombination.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580133/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580133/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Ja Yil -- Terakawa, Tsuyoshi -- Qi, Zhi -- Steinfeld, Justin B -- Redding, Sy -- Kwon, YoungHo -- Gaines, William A -- Zhao, Weixing -- Sung, Patrick -- Greene, Eric C -- CA146940/CA/NCI NIH HHS/ -- GM074739/GM/NIGMS NIH HHS/ -- R01 CA146940/CA/NCI NIH HHS/ -- R01 ES015252/ES/NIEHS NIH HHS/ -- R01 GM074739/GM/NIGMS NIH HHS/ -- R01ES015252/ES/NIEHS NIH HHS/ -- T32 GM007367/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Aug 28;349(6251):977-81. doi: 10.1126/science.aab2666.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. ; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. Department of Biophysics, Kyoto University, Sakyo, Kyoto, Japan. ; Department of Chemistry, Columbia University, New York, NY, USA. ; Department of Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT, USA. ; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. Howard Hughes Medical Institute, Columbia University, New York, NY, USA. ecg2108@cumc.columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26315438" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Base Pairing ; Base Sequence ; Cell Cycle Proteins/chemistry/metabolism ; DNA/*chemistry/*metabolism ; DNA, Single-Stranded/metabolism ; DNA-Binding Proteins/chemistry/metabolism ; Escherichia coli Proteins/chemistry/metabolism ; Evolution, Molecular ; *Homologous Recombination ; Humans ; Meiosis ; Molecular Dynamics Simulation ; Molecular Sequence Data ; Rad51 Recombinase/chemistry/*metabolism ; Rec A Recombinases/chemistry/*metabolism ; Recombinases/chemistry/*metabolism ; Saccharomyces cerevisiae Proteins/chemistry/*metabolism ; Thermodynamics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2015-08-15
    Description: Most spontaneous DNA double-strand breaks (DSBs) result from replication-fork breakage. Break-induced replication (BIR), a genome rearrangement-prone repair mechanism that requires the Pol32/POLD3 subunit of eukaryotic DNA Poldelta, was proposed to repair broken forks, but how genome destabilization is avoided was unknown. We show that broken fork repair initially uses error-prone Pol32-dependent synthesis, but that mutagenic synthesis is limited to within a few kilobases from the break by Mus81 endonuclease and a converging fork. Mus81 suppresses template switches between both homologous sequences and diverged human Alu repetitive elements, highlighting its importance for stability of highly repetitive genomes. We propose that lack of a timely converging fork or Mus81 may propel genome instability observed in cancer.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mayle, Ryan -- Campbell, Ian M -- Beck, Christine R -- Yu, Yang -- Wilson, Marenda -- Shaw, Chad A -- Bjergbaek, Lotte -- Lupski, James R -- Ira, Grzegorz -- F31 NS083159/NS/NINDS NIH HHS/ -- GM080600/GM/NIGMS NIH HHS/ -- HG006542/HG/NHGRI NIH HHS/ -- NS058529/NS/NINDS NIH HHS/ -- NS083159/NS/NINDS NIH HHS/ -- R01 GM080600/GM/NIGMS NIH HHS/ -- R01 NS058529/NS/NINDS NIH HHS/ -- U54 HG006542/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Aug 14;349(6249):742-7. doi: 10.1126/science.aaa8391.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. ; Department of Molecular Biology and Genetics, University of Aarhus, Aarhus 8000, Denmark. ; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Department of Pediatrics, and Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Texas Children's Hospital, Houston, TX 77030, USA. ; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. gira@bcm.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26273056" target="_blank"〉PubMed〈/a〉
    Keywords: Alu Elements ; Base Sequence ; *DNA Breaks, Double-Stranded ; DNA Repair/*genetics ; DNA Replication/*genetics ; DNA-Binding Proteins/genetics/*metabolism ; DNA-Directed DNA Polymerase/metabolism ; Endonucleases/genetics/*metabolism ; *Genomic Instability ; Humans ; Molecular Sequence Data ; Neoplasms/genetics ; Saccharomyces cerevisiae/genetics ; Saccharomyces cerevisiae Proteins/genetics/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2015-08-08
    Description: Cytoplasmic aggregation of TDP-43, accompanied by its nuclear clearance, is a key common pathological hallmark of amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD). However, a limited understanding of this RNA-binding protein (RBP) impedes the clarification of pathogenic mechanisms underlying TDP-43 proteinopathy. In contrast to RBPs that regulate splicing of conserved exons, we found that TDP-43 repressed the splicing of nonconserved cryptic exons, maintaining intron integrity. When TDP-43 was depleted from mouse embryonic stem cells, these cryptic exons were spliced into messenger RNAs, often disrupting their translation and promoting nonsense-mediated decay. Moreover, enforced repression of cryptic exons prevented cell death in TDP-43-deficient cells. Furthermore, repression of cryptic exons was impaired in ALS-FTD cases, suggesting that this splicing defect could potentially underlie TDP-43 proteinopathy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ling, Jonathan P -- Pletnikova, Olga -- Troncoso, Juan C -- Wong, Philip C -- P50AG05146/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2015 Aug 7;349(6248):650-5. doi: 10.1126/science.aab0983.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. wong@jhmi.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26250685" target="_blank"〉PubMed〈/a〉
    Keywords: Amyotrophic Lateral Sclerosis/*genetics ; Animals ; Base Sequence ; Cells, Cultured ; Cysteine Endopeptidases/genetics ; DNA-Binding Proteins/genetics/*physiology ; Embryonic Stem Cells ; Exons/*genetics ; Frontotemporal Dementia/*genetics ; Gene Knockout Techniques ; HeLa Cells ; Humans ; Mice ; Molecular Sequence Data ; Protein Isoforms/genetics ; *RNA Splicing ; RNA Stability ; RNA, Messenger/metabolism ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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