ALBERT

Description: Epidermolysis bullosa simplex (EBS) is characterized by skin blistering due to basal keratinocyte fragility. In one family studied, inheritance of EBS is linked to the gene encoding keratin 14, and a thymine to cytosine mutation in exon 6 of keratin 14 has introduced a proline in the middle of an alpha-helical region. In a second family, inheritance of EBS is linked to loci that map near the keratin 5 gene. These data indicate that abnormalities of either of the components of the keratin intermediate filament heterodipolymer can impair the mechanical stability of these epithelial cells.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bonifas, J M -- Rothman, A L -- Epstein, E H Jr -- R01-AR28069/AR/NIAMS NIH HHS/ -- R01-AR39953/AR/NIAMS NIH HHS/ -- New York, N.Y. -- Science. 1991 Nov 22;254(5035):1202-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Dermatology, San Francisco General Hospital, University of California 94110.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/1720261" target="_blank"〉PubMed〈/a〉

Description: Genome-wide association studies have identified loci underlying human diseases, but the causal nucleotide changes and mechanisms remain largely unknown. Here we developed a fine-mapping algorithm to identify candidate causal variants for 21 autoimmune diseases from genotyping data. We integrated these predictions with transcription and cis-regulatory element annotations, derived by mapping RNA and chromatin in primary immune cells, including resting and stimulated CD4(+) T-cell subsets, regulatory T cells, CD8(+) T cells, B cells, and monocytes. We find that approximately 90% of causal variants are non-coding, with approximately 60% mapping to immune-cell enhancers, many of which gain histone acetylation and transcribe enhancer-associated RNA upon immune stimulation. Causal variants tend to occur near binding sites for master regulators of immune differentiation and stimulus-dependent gene activation, but only 10-20% directly alter recognizable transcription factor binding motifs. Rather, most non-coding risk variants, including those that alter gene expression, affect non-canonical sequence determinants not well-explained by current gene regulatory models.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336207/" 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/PMC4336207/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Farh, Kyle Kai-How -- Marson, Alexander -- Zhu, Jiang -- Kleinewietfeld, Markus -- Housley, William J -- Beik, Samantha -- Shoresh, Noam -- Whitton, Holly -- Ryan, Russell J H -- Shishkin, Alexander A -- Hatan, Meital -- Carrasco-Alfonso, Marlene J -- Mayer, Dita -- Luckey, C John -- Patsopoulos, Nikolaos A -- De Jager, Philip L -- Kuchroo, Vijay K -- Epstein, Charles B -- Daly, Mark J -- Hafler, David A -- Bernstein, Bradley E -- 12-0089/Worldwide Cancer Research/United Kingdom -- AI039671/AI/NIAID NIH HHS/ -- AI045757/AI/NIAID NIH HHS/ -- AI046130/AI/NIAID NIH HHS/ -- AI070352/AI/NIAID NIH HHS/ -- ES017155/ES/NIEHS NIH HHS/ -- GM093080/GM/NIGMS NIH HHS/ -- HG004570/HG/NHGRI NIH HHS/ -- NS067305/NS/NINDS NIH HHS/ -- NS24247/NS/NINDS NIH HHS/ -- P01 AI039671/AI/NIAID NIH HHS/ -- P01 AI045757/AI/NIAID NIH HHS/ -- P30 DK063720/DK/NIDDK NIH HHS/ -- R01 NS024247/NS/NINDS NIH HHS/ -- R37 NS024247/NS/NINDS NIH HHS/ -- T32 GM007748/GM/NIGMS NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U19 AI046130/AI/NIAID NIH HHS/ -- U19 AI070352/AI/NIAID NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):337-43. doi: 10.1038/nature13835. Epub 2014 Oct 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Diabetes Center and Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, California 94143, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA [3] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA [4] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut 06511, USA. ; Departments of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut 06511, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] California Institute of Technology, 1200 E California Boulevard, Pasadena, California 91125, USA. ; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02142, USA [3] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02142, USA. ; Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25363779" target="_blank"〉PubMed〈/a〉

Description: A subset of patients who have undergone coronary angioplasty develop restenosis, a vessel renarrowing characterized by excessive proliferation of smooth muscle cells (SMCs). Of 60 human restenosis lesions examined, 23 (38 percent) were found to have accumulated high amounts of the tumor suppressor protein p53, and this correlated with the presence of human cytomegalovirus (HCMV) in the lesions. SMCs grown from the lesions expressed HCMV protein IE84 and high amounts of p53. HCMV infection of cultured SMCs enhanced p53 accumulation, which correlated temporally with IE84 expression. IE84 also bound to p53 and abolished its ability to transcriptionally activate a reporter gene. Thus, HCMV, and IE84-mediated inhibition of p53 function, may contribute to the development of restenosis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Speir, E -- Modali, R -- Huang, E S -- Leon, M B -- Shawl, F -- Finkel, T -- Epstein, S E -- New York, N.Y. -- Science. 1994 Jul 15;265(5170):391-4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cardiology Branch, National Institutes of Health, Bethesda, MD 20892.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8023160" target="_blank"〉PubMed〈/a〉

Description: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530010/" 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/PMC4530010/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Roadmap Epigenomics Consortium -- Kundaje, Anshul -- Meuleman, Wouter -- Ernst, Jason -- Bilenky, Misha -- Yen, Angela -- Heravi-Moussavi, Alireza -- Kheradpour, Pouya -- Zhang, Zhizhuo -- Wang, Jianrong -- Ziller, Michael J -- Amin, Viren -- Whitaker, John W -- Schultz, Matthew D -- Ward, Lucas D -- Sarkar, Abhishek -- Quon, Gerald -- Sandstrom, Richard S -- Eaton, Matthew L -- Wu, Yi-Chieh -- Pfenning, Andreas R -- Wang, Xinchen -- Claussnitzer, Melina -- Liu, Yaping -- Coarfa, Cristian -- Harris, R Alan -- Shoresh, Noam -- Epstein, Charles B -- Gjoneska, Elizabeta -- Leung, Danny -- Xie, Wei -- Hawkins, R David -- Lister, Ryan -- Hong, Chibo -- Gascard, Philippe -- Mungall, Andrew J -- Moore, Richard -- Chuah, Eric -- Tam, Angela -- Canfield, Theresa K -- Hansen, R Scott -- Kaul, Rajinder -- Sabo, Peter J -- Bansal, Mukul S -- Carles, Annaick -- Dixon, Jesse R -- Farh, Kai-How -- Feizi, Soheil -- Karlic, Rosa -- Kim, Ah-Ram -- Kulkarni, Ashwinikumar -- Li, Daofeng -- Lowdon, Rebecca -- Elliott, GiNell -- Mercer, Tim R -- Neph, Shane J -- Onuchic, Vitor -- Polak, Paz -- Rajagopal, Nisha -- Ray, Pradipta -- Sallari, Richard C -- Siebenthall, Kyle T -- Sinnott-Armstrong, Nicholas A -- Stevens, Michael -- Thurman, Robert E -- Wu, Jie -- Zhang, Bo -- Zhou, Xin -- Beaudet, Arthur E -- Boyer, Laurie A -- De Jager, Philip L -- Farnham, Peggy J -- Fisher, Susan J -- Haussler, David -- Jones, Steven J M -- Li, Wei -- Marra, Marco A -- McManus, Michael T -- Sunyaev, Shamil -- Thomson, James A -- Tlsty, Thea D -- Tsai, Li-Huei -- Wang, Wei -- Waterland, Robert A -- Zhang, Michael Q -- Chadwick, Lisa H -- Bernstein, Bradley E -- Costello, Joseph F -- Ecker, Joseph R -- Hirst, Martin -- Meissner, Alexander -- Milosavljevic, Aleksandar -- Ren, Bing -- Stamatoyannopoulos, John A -- Wang, Ting -- Kellis, Manolis -- 5R24HD000836/HD/NICHD NIH HHS/ -- ES017166/ES/NIEHS NIH HHS/ -- F32 HL110473/HL/NHLBI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- K99 HL119617/HL/NHLBI NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- P01 DA008227/DA/NIDA NIH HHS/ -- P30AG10161/AG/NIA NIH HHS/ -- P50 MH096890/MH/NIMH NIH HHS/ -- R01 AG015819/AG/NIA NIH HHS/ -- R01 AG017917/AG/NIA NIH HHS/ -- R01 ES024984/ES/NIEHS NIH HHS/ -- R01 ES024992/ES/NIEHS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01 HG007175/HG/NHGRI NIH HHS/ -- R01 HG007354/HG/NHGRI NIH HHS/ -- R01AG15819/AG/NIA NIH HHS/ -- R01AG17917/AG/NIA NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- R01HG004037-S1/HG/NHGRI NIH HHS/ -- R01NS078839/NS/NINDS NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- RF1 AG015819/AG/NIA NIH HHS/ -- T32 ES007032/ES/NIEHS NIH HHS/ -- T32 GM007198/GM/NIGMS NIH HHS/ -- T32 GM007266/GM/NIGMS NIH HHS/ -- T32 GM081739/GM/NIGMS NIH HHS/ -- U01 ES017154/ES/NIEHS NIH HHS/ -- U01AG46152/AG/NIA NIH HHS/ -- U01DA025956/DA/NIDA NIH HHS/ -- U01ES017154/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- U01ES017156/ES/NIEHS NIH HHS/ -- U01ES017166/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):317-30. doi: 10.1038/nature14248.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Genetics, Department of Computer Science, 300 Pasteur Dr., Lane Building, L301, Stanford, California 94305-5120, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Biological Chemistry, University of California, Los Angeles, 615 Charles E Young Dr South, Los Angeles, California 90095, USA. ; Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Department of Stem Cell and Regenerative Biology, 7 Divinity Ave, Cambridge, Massachusetts 02138, USA. ; Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Genomic Analysis Laboratory, Howard Hughes Medical Institute &The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, California 92037, USA. ; Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA. ; The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar St, Cambridge, Massachusetts 02139, USA. ; 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94158, USA. ; Department of Pathology, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143-0511, USA. ; Department of Medicine, Division of Medical Genetics, University of Washington, 2211 Elliot Avenue, Seattle, Washington 98121, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Computer Science &Engineering, University of Connecticut, 371 Fairfield Way, Storrs, Connecticut 06269, USA. ; Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada. ; Bioinformatics Group, Department of Molecular Biology, Division of Biology, Faculty of Science, University of Zagreb, Horvatovac 102a, 10000 Zagreb, Croatia. ; Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. ; Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. ; Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. ; 1] Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. [2] Department of Computer Science and Engineeering, Washington University in St. Louis, St. Louis, Missouri 63130, USA. ; 1] Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794-3600, USA. [2] Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; Molecular and Human Genetics Department, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. [3] Harvard Medical School, 25 Shattuck St, Boston, Massachusetts 02115, USA. ; Department of Biochemistry, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, California 90089-9601, USA. ; ObGyn, Reproductive Sciences, University of California San Francisco, 35 Medical Center Way, San Francisco, California 94143, USA. ; Center for Biomolecular Sciences and Engineering, University of Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada. [3] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4. ; Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4. ; Department of Microbiology and Immunology, Diabetes Center, University of California, San Francisco, 513 Parnassus Ave, San Francisco, California 94143-0534, USA. ; 1] University of Wisconsin, Madison, Wisconsin 53715, USA. [2] Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53707, USA. ; USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, Texas 77030, USA. ; 1] Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. [2] Bioinformatics Division, Center for Synthetic and Systems Biology, TNLIST, Tsinghua University, Beijing 100084, China. ; National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Massachusetts General Hospital, 55 Fruit St, Boston, Massachusetts 02114, USA. [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815-6789, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25693563" target="_blank"〉PubMed〈/a〉

Description: Gases were collected at 120, 200, 300, 415, and 600 and 850 C. Hydrogen yields for the 600 and 850 C aliquots were measured separately and then the gases were combined for isotopic analysis. CO2 samples collected at the two lowest temperature steps amounted to less than 0.5 mu mole and were not analyzed isotopically. Excluding the 120 C temperature step, the bulk delta D of the sample was + 187 percent. Delta D values increase from -91 percent in the 120 C step to +518 percent in the 315 to 850 C step. The hydrogen content is greatest in the 120 C step and is roughly constant in the 200, 300, and 415 C aliquots. Between 415 C and 850 C, the yield drops off considerably. From 850 C to 950 C, virtually no H2 and only minor CO2 (less than 1 mu mole) were extracted. Using the isotopic analysis from the 300, 415, 600, and 850 C temperature collections, the bulk delta C-13 sub (PDB) is 0.0 percent. The heaviest component (delta C-13 sub (PDB) of +29 percent) was collected between 300 and 415 C. The release of hydrogen at the low temperatures reported here is consistent with the breakdown of the phases that constitute the alteration product between approx. 250 and 650 C. Although not as high as the present Martian atmosphere, the high delta D values are consistent with a Martian origin for the meteorites in question.

Description: The D/H ratios of kaersutitic amphiboles contained in magmatic inclusions in the Shergottites Nakhlites Chassignites (SNC) meteorite Chassigny using the ion microprobe were measured. A lower limit on the delta(D(sub SMOW)) of the amphiboles is +1420 +/- 47 percent. Assuming Chassigny comes from Mars and the amphiboles have not been subject to alteration after their crystallization, this result implies either that recycling of D-enriched Martian atmosphere-derived waters into the planetary interior has taken place, or that the primordial hydrogen isotopic composition of the interior of Mars differs significantly from that of the Earth (delta(D(sub SMOW)) approximately 0 percent). In addition, the measurements indicate that the amphiboles contain less than 0.3 wt. percent water. This is much lower than published estimates, and indicates a less-hydrous Chassigny parent magma than previously suggested.

Description: The physics and geology of Io have been extensively studied, but there has been little discussion of the chemistry. Relatively little is known about Io chemistry, but there are constraints. Further, it will be a long time before improvements will result from direct observation, given the severe difficulties with the Galileo mission. Via laboratory simulation experiments, plausible thermochemical and photochemical processes which determine the nature and amounts of surface constituents of Io are explored. The well-known density of Io shows that the planet overall is rocky. Because the orbit of Io is well within the magnetosphere of Jupiter and because Io only has a thin, transient SO2 atmosphere, the surface is continually sputtered with magnetospheric ions. Complex processes ionize and accelerate the Io surface atoms to keV and MeV energies. Remarkably, only S, O, and Na ions were found by Voyager. Sputtering also produces an atomic cloud of Na and S (O not observable) with a trace of K. Both gaseous and solid SO2 are known from spectroscopic studies. A trace of H2S and possibly CO2 are present. Geologic features are interpreted in terms of elemental S, but there is no direct evidence for this constituent. We thus have a rocky planet which does not have rocks on the surface. Our general goal is to understand the cycling of Na, S, and O through the crust and atmosphere on present-day Io and to understand how Io evolved to this state. A specific objective was to determine the phases on the surface which are the source of the Na in the atmosphere of Io.

Description: A hypothesis is presented to the effect that the distinctive morphological characteristics and comparatively simple Si isotope systematics identify the platy SiC crystals as a genetically related family, formed around a single isotopically heterogeneous presolar star on an association of related stars. The enrichments in C-13 and the Si isotope systematics of the platy SiC are broadly consistent with theoretical models of nucleosynthesis in low-mass, carbon stars on the ASG. The Si isotope array most plausibly reflects mixing between (Si-28)-rich material, inherited from a previous generation of stars, and material enriched in Si-29 and Si-30, produced in intershell regions by neutron capture during He-burning. The absence of a correlation between the Si and C isotopic compositions of the SiC suggests either episodic condensation of SiC, extending over several thermal pulses, in the atmosphere of a single star, or the derivation of the SiC from several stars characterized by different rates of C-13 production.

Description: The monocarboxylic acids and hydrocarbons of the Murchison meteorite (CM2) were isolated for isotropic analysis. The nonvolatile hydrocarbons were analyzed as crude methanol and benzene-methanol extracts and also after separation by silica gel chromatography into predominantly aliphatic, aromatic, and polar hydrocarbon fractions. The volatile hydrocarbons were obtained after progressive decomposition of the meteorite matrix by freeze-thaw, hot water, and acid treatment. Molecular analyses of the aromatic hydrocarbons showed them to comprise a complex suite of compounds in which pyrene, fluoranthene, phenanthrene, and acenaphthene were the most abundant components, a result similar to earlier analyses. The polar hydrocarbons also comprise a very complex mixture in which aromatic ketones, nitrogen, and sulfur heterocycles were identified. The monocarboxylic acids, aliphatic, aromatic, and polar hydrocarbons, and the indigenous volatile hydrocarbons were found to be D-rich. The deuterium enrichment observed in these compounds is suggestive. In two separate analyses, the delta-D values of the nonvolatile hydrocarbons were observed to increase in the following order: aliphatic-aromatic-polar. This finding is consistent with an early solar system or parent body conversion of aromatic to aliphatic compounds as well as the suggestion of pyrolytic formation of aromatic from aliphatic compounds.