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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
    Electronic ISSN: 1095-9203
    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: 2016-03-26
    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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  • 4
    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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  • 5
    Publication Date: 1982-02-19
    Description: The 14S messenger RNA (1300 to 1500 nucleotides) for the alpha A chain of alpha-crystallin of the mammalian lens is nearly three times larger than required to code for the polypeptide that contains 173 amino acids. As a means of accounting for this anomaly, a complementary DNA clone for the mouse alpha A-crystallin messenger RNA was constructed in pBR322 and sequenced. Derivation of the protein sequence from the nucleic acid sequence showed that mouse alpha A-crystallin is similar to that of other organisms. The messenger RNA contains 536 nucleotides located on the 3' side of the coding region, excluding the polyadenylate stretch. This 3' sequence does not encode any other crystallin and has multiple termination codons in the three possible reading frames.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉King, C R -- Shinohara, T -- Piatigorsky, J -- New York, N.Y. -- Science. 1982 Feb 19;215(4535):985-7.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7156978" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Base Sequence ; Cloning, Molecular ; Crystallins/*genetics ; Mice ; RNA, Messenger/*genetics
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1982-08-27
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lewin, R -- New York, N.Y. -- Science. 1982 Aug 27;217(4562):817-8.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7100925" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; *DNA/*analysis ; *Information Systems
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1982-08-13
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lewin, R -- New York, N.Y. -- Science. 1982 Aug 13;217(4560):621-3.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6283639" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; DNA/*genetics ; DNA Transposable Elements ; DNA, Satellite/genetics ; *Repetitive Sequences, Nucleic Acid ; Species Specificity
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  • 8
    Publication Date: 1982-06-25
    Description: Avian myeloblastosis virus is defective in reproductive capacity, requiring a helper virus to provide the viral proteins essential for synthesis of new infectious virus. This virus arose by recombination of the nondefective helper virus and host cellular sequences present within the normal avian genome. These latter sequences are essential for leukemogenic activity. The complete nucleotide sequence of this region is reported. Within the acquired cellular sequences there is an open reading frame of 795 nucleotides starting with the initiation codon ATG (adenine, thymine, guanine) and terminating with the triplet TAG. This open reading frame could code for the putative transforming protein of 265 amino acids with a molecular weight of approximately 30,000.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rushlow, K E -- Lautenberger, J A -- Papas, T S -- Baluda, M A -- Perbal, B -- Chirikjian, J G -- Reddy, E P -- New York, N.Y. -- Science. 1982 Jun 25;216(4553):1421-3.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6283631" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Avian Leukosis Virus/*genetics ; Avian Myeloblastosis Virus/*genetics ; Avian Sarcoma Viruses/genetics ; Base Sequence ; Cell Transformation, Viral ; Chickens/genetics ; DNA Restriction Enzymes ; Gene Expression Regulation ; *Genes, Viral ; RNA, Viral/analysis ; Viral Proteins/biosynthesis
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  • 9
    Publication Date: 1982-12-10
    Description: Simian sarcoma virus (SSV) deletion mutants were constructed from a molecular clone containing the entire infectious provirus. Transfection analysis of these mutants localized the SSV transforming gene to a small region of the viral genome encompassing its cell-derived sequence (v-sis). Antiserum to a peptide synthesized on the basis of the predicted amino acid sequence of the SSV transforming gene detected a 28,000-dalton protein that was specifically expressed in SSV transformed cells and that corresponded in size to that predicted from the v-sis coding sequence. The v-sis gene product designated p28sis was not a phosphoprotein, nor did it possess detectable protein kinase activity. These findings distinguish p28sis from a number of other retroviral onc proteins.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Robbins, K C -- Devare, S G -- Reddy, E P -- Aaronson, S A -- New York, N.Y. -- Science. 1982 Dec 10;218(4577):1131-3.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6293053" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antibodies, Viral ; Base Sequence ; *Cell Transformation, Viral ; *Genes, Viral ; Mice ; Molecular Weight ; *Oncogenes ; Phosphoproteins/genetics ; Protein Kinases/genetics ; Retroviridae/*genetics ; Sarcoma Virus, Woolly Monkey/*genetics ; Viral Proteins/*genetics/immunology
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  • 10
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1982-06-04
    Description: A family of related sequences that includes approximately 500,000 members is the most prominent short dispersed repeat family in primate and rodent DNA's. The primate sequence is approximately 300 base pairs in length and is composed of two imperfectly repeated monomer units, whereas the rodent repeat consists of only a single monomer. Properties of this repeat sequence, its flanking sequences in chromosomal DNA, and RNA's transcribed from it suggest that it may be a mobile DNA element inserted at hundreds of thousands of different chromosomal locations.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schmid, C W -- Jelinek, W R -- New York, N.Y. -- Science. 1982 Jun 4;216(4550):1065-70.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6281889" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Biological Evolution ; DNA/*genetics ; *DNA Transposable Elements ; Genetic Linkage ; Muridae/genetics ; Primates/genetics ; RNA Polymerase III/metabolism ; RNA, Heterogeneous Nuclear/genetics ; *Repetitive Sequences, Nucleic Acid ; Transcription, Genetic
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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