LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 9 of total 9

Search options

  1. Article ; Online: The growing need for controlled data access models in clinical proteomics and metabolomics

    Thomas M. Keane / Claire O’Donovan / Juan Antonio Vizcaíno

    Nature Communications, Vol 12, Iss 1, Pp 1-

    2021  Volume 4

    Abstract: More and more clinical studies include potentially sensitive human proteomics or metabolomics datasets, but bioinformatics resources for managing the access to these data are not yet available. This commentary discusses current best practices and future ... ...

    Abstract More and more clinical studies include potentially sensitive human proteomics or metabolomics datasets, but bioinformatics resources for managing the access to these data are not yet available. This commentary discusses current best practices and future perspectives for the responsible handling of clinical proteomics and metabolomics data.
    Keywords Science ; Q
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  2. Article ; Online: Prediction of lithium response using genomic data

    William Stone / Abraham Nunes / Kazufumi Akiyama / Nirmala Akula / Raffaella Ardau / Jean-Michel Aubry / Lena Backlund / Michael Bauer / Frank Bellivier / Pablo Cervantes / Hsi-Chung Chen / Caterina Chillotti / Cristiana Cruceanu / Alexandre Dayer / Franziska Degenhardt / Maria Del Zompo / Andreas J. Forstner / Mark Frye / Janice M. Fullerton /
    Maria Grigoroiu-Serbanescu / Paul Grof / Ryota Hashimoto / Liping Hou / Esther Jiménez / Tadafumi Kato / John Kelsoe / Sarah Kittel-Schneider / Po-Hsiu Kuo / Ichiro Kusumi / Catharina Lavebratt / Mirko Manchia / Lina Martinsson / Manuel Mattheisen / Francis J. McMahon / Vincent Millischer / Philip B. Mitchell / Markus M. Nöthen / Claire O’Donovan / Norio Ozaki / Claudia Pisanu / Andreas Reif / Marcella Rietschel / Guy Rouleau / Janusz Rybakowski / Martin Schalling / Peter R. Schofield / Thomas G. Schulze / Giovanni Severino / Alessio Squassina / Julia Veeh / Eduard Vieta / Thomas Trappenberg / Martin Alda

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 10

    Abstract: Abstract Predicting lithium response prior to treatment could both expedite therapy and avoid exposure to side effects. Since lithium responsiveness may be heritable, its predictability based on genomic data is of interest. We thus evaluate the degree to ...

    Abstract Abstract Predicting lithium response prior to treatment could both expedite therapy and avoid exposure to side effects. Since lithium responsiveness may be heritable, its predictability based on genomic data is of interest. We thus evaluate the degree to which lithium response can be predicted with a machine learning (ML) approach using genomic data. Using the largest existing genomic dataset in the lithium response literature (n = 2210 across 14 international sites; 29% responders), we evaluated the degree to which lithium response could be predicted based on 47,465 genotyped single nucleotide polymorphisms using a supervised ML approach. Under appropriate cross-validation procedures, lithium response could be predicted to above-chance levels in two constituent sites (Halifax, Cohen’s kappa 0.15, 95% confidence interval, CI [0.07, 0.24]; and Würzburg, kappa 0.2 [0.1, 0.3]). Variants with shared importance in these models showed over-representation of postsynaptic membrane related genes. Lithium response was not predictable in the pooled dataset (kappa 0.02 [− 0.01, 0.04]), although non-trivial performance was achieved within a restricted dataset including only those patients followed prospectively (kappa 0.09 [0.04, 0.14]). Genomic classification of lithium response remains a promising but difficult task. Classification performance could potentially be improved by further harmonization of data collection procedures.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  3. Article ; Online: Representing kidney development using the gene ontology.

    Yasmin Alam-Faruque / David P Hill / Emily C Dimmer / Midori A Harris / Rebecca E Foulger / Susan Tweedie / Helen Attrill / Douglas G Howe / Stephen Randall Thomas / Duncan Davidson / Adrian S Woolf / Judith A Blake / Christopher J Mungall / Claire O'Donovan / Rolf Apweiler / Rachael P Huntley

    PLoS ONE, Vol 9, Iss 6, p e

    2014  Volume 99864

    Abstract: Gene Ontology (GO) provides dynamic controlled vocabularies to aid in the description of the functional biological attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). Here we describe collaboration ... ...

    Abstract Gene Ontology (GO) provides dynamic controlled vocabularies to aid in the description of the functional biological attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). Here we describe collaboration between the renal biomedical research community and the GO Consortium to improve the quality and quantity of GO terms describing renal development. In the associated annotation activity, the new and revised terms were associated with gene products involved in renal development and function. This project resulted in a total of 522 GO terms being added to the ontology and the creation of approximately 9,600 kidney-related GO term associations to 940 UniProt Knowledgebase (UniProtKB) entries, covering 66 taxonomic groups. We demonstrate the impact of these improvements on the interpretation of GO term analyses performed on genes differentially expressed in kidney glomeruli affected by diabetic nephropathy. In summary, we have produced a resource that can be utilized in the interpretation of data from small- and large-scale experiments investigating molecular mechanisms of kidney function and development and thereby help towards alleviating renal disease.
    Keywords Medicine ; R ; Science ; Q
    Subject code 616
    Language English
    Publishing date 2014-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article ; Online: The impact of focused Gene Ontology curation of specific mammalian systems.

    Yasmin Alam-Faruque / Rachael P Huntley / Varsha K Khodiyar / Evelyn B Camon / Emily C Dimmer / Tony Sawford / Maria J Martin / Claire O'Donovan / Philippa J Talmud / Peter Scambler / Rolf Apweiler / Ruth C Lovering

    PLoS ONE, Vol 6, Iss 12, p e

    2011  Volume 27541

    Abstract: The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www ... ...

    Abstract The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.GO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2011-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  5. Article ; Online: The future of metabolomics in ELIXIR [version 2; referees

    Merlijn van Rijswijk / Charlie Beirnaert / Christophe Caron / Marta Cascante / Victoria Dominguez / Warwick B. Dunn / Timothy M. D. Ebbels / Franck Giacomoni / Alejandra Gonzalez-Beltran / Thomas Hankemeier / Kenneth Haug / Jose L. Izquierdo-Garcia / Rafael C. Jimenez / Fabien Jourdan / Namrata Kale / Maria I. Klapa / Oliver Kohlbacher / Kairi Koort / Kim Kultima /
    Gildas Le Corguillé / Pablo Moreno / Nicholas K. Moschonas / Steffen Neumann / Claire O’Donovan / Martin Reczko / Philippe Rocca-Serra / Antonio Rosato / Reza M. Salek / Susanna-Assunta Sansone / Venkata Satagopam / Daniel Schober / Ruth Shimmo / Rachel A. Spicer / Ola Spjuth / Etienne A. Thévenot / Mark R. Viant / Ralf J. M. Weber / Egon L. Willighagen / Gianluigi Zanetti / Christoph Steinbeck

    F1000Research, Vol

    2 approved, 1 approved with reservations]

    2017  Volume 6

    Abstract: Metabolomics, the youngest of the major omics technologies, is supported by an active community of researchers and infrastructure developers across Europe. To coordinate and focus efforts around infrastructure building for metabolomics within Europe, a ... ...

    Abstract Metabolomics, the youngest of the major omics technologies, is supported by an active community of researchers and infrastructure developers across Europe. To coordinate and focus efforts around infrastructure building for metabolomics within Europe, a workshop on the “Future of metabolomics in ELIXIR” was organised at Frankfurt Airport in Germany. This one-day strategic workshop involved representatives of ELIXIR Nodes, members of the PhenoMeNal consortium developing an e-infrastructure that supports workflow-based metabolomics analysis pipelines, and experts from the international metabolomics community. The workshop established metabolite identification as the critical area, where a maximal impact of computational metabolomics and data management on other fields could be achieved. In particular, the existing four ELIXIR Use Cases, where the metabolomics community - both industry and academia - would benefit most, and which could be exhaustively mapped onto the current five ELIXIR Platforms were discussed. This opinion article is a call for support for a new ELIXIR metabolomics Use Case, which aligns with and complements the existing and planned ELIXIR Platforms and Use Cases.
    Keywords Chemical Biology of the Cell ; Medicine ; R ; Science ; Q
    Language English
    Publishing date 2017-10-01T00:00:00Z
    Publisher F1000 Research Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  6. Article ; Online: The future of metabolomics in ELIXIR [version 1; referees

    Merlijn van Rijswijk / Charlie Beirnaert / Christophe Caron / Marta Cascante / Victoria Dominguez / Warwick B. Dunn / Timothy M. D. Ebbels / Franck Giacomoni / Alejandra Gonzalez-Beltran / Thomas Hankemeier / Kenneth Haug / Jose L. Izquierdo-Garcia / Rafael C. Jimenez / Fabien Jourdan / Namrata Kale / Maria I. Klapa / Oliver Kohlbacher / Kairi Koort / Kim Kultima /
    Gildas Le Corguillé / Nicholas K. Moschonas / Steffen Neumann / Claire O’Donovan / Martin Reczko / Philippe Rocca-Serra / Antonio Rosato / Reza M. Salek / Susanna-Assunta Sansone / Venkata Satagopam / Daniel Schober / Ruth Shimmo / Rachel A. Spicer / Ola Spjuth / Etienne A. Thévenot / Mark R. Viant / Ralf J. M. Weber / Egon L. Willighagen / Gianluigi Zanetti / Christoph Steinbeck

    F1000Research, Vol

    2 approved, 1 approved with reservations]

    2017  Volume 6

    Abstract: Metabolomics, the youngest of the major omics technologies, is supported by an active community of researchers and infrastructure developers across Europe. To coordinate and focus efforts around infrastructure building for metabolomics within Europe, a ... ...

    Abstract Metabolomics, the youngest of the major omics technologies, is supported by an active community of researchers and infrastructure developers across Europe. To coordinate and focus efforts around infrastructure building for metabolomics within Europe, a workshop on the “Future of metabolomics in ELIXIR” was organised at Frankfurt Airport in Germany. This one-day strategic workshop involved representatives of ELIXIR Nodes, members of the PhenoMeNal consortium developing an e-infrastructure that supports workflow-based metabolomics analysis pipelines, and experts from the international metabolomics community. The workshop established metabolite identification as the critical area, where a maximal impact of computational metabolomics and data management on other fields could be achieved. In particular, the existing four ELIXIR Use Cases, where the metabolomics community - both industry and academia - would benefit most, and which could be exhaustively mapped onto the current five ELIXIR Platforms were discussed. This opinion article is a call for support for a new ELIXIR metabolomics Use Case, which aligns with and complements the existing and planned ELIXIR Platforms and Use Cases.
    Keywords Chemical Biology of the Cell ; Medicine ; R ; Science ; Q
    Language English
    Publishing date 2017-09-01T00:00:00Z
    Publisher F1000 Research Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  7. Article ; Online: The COMBREX project

    Brian P Anton / Yi-Chien Chang / Peter Brown / Han-Pil Choi / Lina L Faller / Jyotsna Guleria / Zhenjun Hu / Niels Klitgord / Ami Levy-Moonshine / Almaz Maksad / Varun Mazumdar / Mark McGettrick / Lais Osmani / Revonda Pokrzywa / John Rachlin / Rajeswari Swaminathan / Benjamin Allen / Genevieve Housman / Caitlin Monahan /
    Krista Rochussen / Kevin Tao / Ashok S Bhagwat / Steven E Brenner / Linda Columbus / Valérie de Crécy-Lagard / Donald Ferguson / Alexey Fomenkov / Giovanni Gadda / Richard D Morgan / Andrei L Osterman / Dmitry A Rodionov / Irina A Rodionova / Kenneth E Rudd / Dieter Söll / James Spain / Shuang-Yong Xu / Alex Bateman / Robert M Blumenthal / J Martin Bollinger / Woo-Suk Chang / Manuel Ferrer / Iddo Friedberg / Michael Y Galperin / Julien Gobeill / Daniel Haft / John Hunt / Peter Karp / William Klimke / Carsten Krebs / Dana Macelis / Ramana Madupu / Maria J Martin / Jeffrey H Miller / Claire O'Donovan / Bernhard Palsson / Patrick Ruch / Aaron Setterdahl / Granger Sutton / John Tate / Alexander Yakunin / Dmitri Tchigvintsev / Germán Plata / Jie Hu / Russell Greiner / David Horn / Kimmen Sjölander / Steven L Salzberg / Dennis Vitkup / Stanley Letovsky / Daniel Segrè / Charles DeLisi / Richard J Roberts / Martin Steffen / Simon Kasif

    PLoS Biology, Vol 11, Iss 8, p e

    design, methodology, and initial results.

    2013  Volume 1001638

    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2013-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  8. Article ; Online: Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder

    Mirko Manchia / Mazda Adli / Nirmala Akula / Raffaella Ardau / Jean-Michel Aubry / Lena Backlund / Claudio Em Banzato / Bernhard T Baune / Frank Bellivier / Susanne Bengesser / Joanna M Biernacka / Clara Brichant-Petitjean / Elise Bui / Cynthia V Calkin / Andrew Tai Ann Cheng / Caterina Chillotti / Sven Cichon / Scott Clark / Piotr M Czerski /
    Clarissa Dantas / Maria Del Zompo / J Raymond Depaulo / Sevilla D Detera-Wadleigh / Bruno Etain / Peter Falkai / Louise Frisén / Mark A Frye / Jan Fullerton / Sébastien Gard / Julie Garnham / Fernando S Goes / Paul Grof / Oliver Gruber / Ryota Hashimoto / Joanna Hauser / Urs Heilbronner / Rebecca Hoban / Liping Hou / Stéphane Jamain / Jean-Pierre Kahn / Layla Kassem / Tadafumi Kato / John R Kelsoe / Sarah Kittel-Schneider / Sebastian Kliwicki / Po-Hsiu Kuo / Ichiro Kusumi / Gonzalo Laje / Catharina Lavebratt / Marion Leboyer / Susan G Leckband / Carlos A López Jaramillo / Mario Maj / Alain Malafosse / Lina Martinsson / Takuya Masui / Philip B Mitchell / Frank Mondimore / Palmiero Monteleone / Audrey Nallet / Maria Neuner / Tomás Novák / Claire O'Donovan / Urban Osby / Norio Ozaki / Roy H Perlis / Andrea Pfennig / James B Potash / Daniela Reich-Erkelenz / Andreas Reif / Eva Reininghaus / Sara Richardson / Guy A Rouleau / Janusz K Rybakowski / Martin Schalling / Peter R Schofield / Oliver K Schubert / Barbara Schweizer / Florian Seemüller / Maria Grigoroiu-Serbanescu / Giovanni Severino / Lisa R Seymour / Claire Slaney / Jordan W Smoller / Alessio Squassina / Thomas Stamm / Jo Steele / Pavla Stopkova / Sarah K Tighe / Alfonso Tortorella / Gustavo Turecki / Naomi R Wray / Adam Wright / Peter P Zandi / David Zilles / Michael Bauer / Marcella Rietschel / Francis J McMahon / Thomas G Schulze / Martin Alda

    PLoS ONE, Vol 8, Iss 6, p e

    A Consortium on Lithium Genetics (ConLiGen) Report.

    2013  Volume 65636

    Abstract: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of ... ...

    Abstract The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study.Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (κ)] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling.Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (κ = 0.66 and κ = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (ICC1 = 0.71 and ICC2 = 0.75, respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders).We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2013-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  9. Article ; Online: Integrative annotation of 21,037 human genes validated by full-length cDNA clones.

    Tadashi Imanishi / Takeshi Itoh / Yutaka Suzuki / Claire O'Donovan / Satoshi Fukuchi / Kanako O Koyanagi / Roberto A Barrero / Takuro Tamura / Yumi Yamaguchi-Kabata / Motohiko Tanino / Kei Yura / Satoru Miyazaki / Kazuho Ikeo / Keiichi Homma / Arek Kasprzyk / Tetsuo Nishikawa / Mika Hirakawa / Jean Thierry-Mieg / Danielle Thierry-Mieg /
    Jennifer Ashurst / Libin Jia / Mitsuteru Nakao / Michael A Thomas / Nicola Mulder / Youla Karavidopoulou / Lihua Jin / Sangsoo Kim / Tomohiro Yasuda / Boris Lenhard / Eric Eveno / Yoshiyuki Suzuki / Chisato Yamasaki / Jun-ichi Takeda / Craig Gough / Phillip Hilton / Yasuyuki Fujii / Hiroaki Sakai / Susumu Tanaka / Clara Amid / Matthew Bellgard / Maria de Fatima Bonaldo / Hidemasa Bono / Susan K Bromberg / Anthony J Brookes / Elspeth Bruford / Piero Carninci / Claude Chelala / Christine Couillault / Sandro J de Souza / Marie-Anne Debily / Marie-Dominique Devignes / Inna Dubchak / Toshinori Endo / Anne Estreicher / Eduardo Eyras / Kaoru Fukami-Kobayashi / Gopal R Gopinath / Esther Graudens / Yoonsoo Hahn / Michael Han / Ze-Guang Han / Kousuke Hanada / Hideki Hanaoka / Erimi Harada / Katsuyuki Hashimoto / Ursula Hinz / Momoki Hirai / Teruyoshi Hishiki / Ian Hopkinson / Sandrine Imbeaud / Hidetoshi Inoko / Alexander Kanapin / Yayoi Kaneko / Takeya Kasukawa / Janet Kelso / Paul Kersey / Reiko Kikuno / Kouichi Kimura / Bernhard Korn / Vladimir Kuryshev / Izabela Makalowska / Takashi Makino / Shuhei Mano / Regine Mariage-Samson / Jun Mashima / Hideo Matsuda / Hans-Werner Mewes / Shinsei Minoshima / Keiichi Nagai / Hideki Nagasaki / Naoki Nagata / Rajni Nigam / Osamu Ogasawara / Osamu Ohara / Masafumi Ohtsubo / Norihiro Okada / Toshihisa Okido / Satoshi Oota / Motonori Ota / Toshio Ota / Tetsuji Otsuki / Dominique Piatier-Tonneau / Annemarie Poustka / Shuang-Xi Ren / Naruya Saitou / Katsunaga Sakai / Shigetaka Sakamoto / Ryuichi Sakate / Ingo Schupp / Florence Servant / Stephen Sherry / Rie Shiba / Nobuyoshi Shimizu / Mary Shimoyama / Andrew J Simpson / Bento Soares / Charles Steward / Makiko Suwa / Mami Suzuki / Aiko Takahashi / Gen Tamiya / Hiroshi Tanaka / Todd Taylor / Joseph D Terwilliger / Per Unneberg / Vamsi Veeramachaneni / Shinya Watanabe / Laurens Wilming / Norikazu Yasuda / Hyang-Sook Yoo / Marvin Stodolsky / Wojciech Makalowski / Mitiko Go / Kenta Nakai / Toshihisa Takagi / Minoru Kanehisa / Yoshiyuki Sakaki / John Quackenbush / Yasushi Okazaki / Yoshihide Hayashizaki / Winston Hide / Ranajit Chakraborty / Ken Nishikawa / Hideaki Sugawara / Yoshio Tateno / Zhu Chen / Michio Oishi / Peter Tonellato / Rolf Apweiler / Kousaku Okubo / Lukas Wagner / Stefan Wiemann / Robert L Strausberg / Takao Isogai / Charles Auffray / Nobuo Nomura / Takashi Gojobori / Sumio Sugano

    PLoS Biology, Vol 2, Iss 6, p e

    2004  Volume 162

    Abstract: The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation ... ...

    Abstract The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.
    Keywords Biology (General) ; QH301-705.5
    Subject code 572
    Language English
    Publishing date 2004-06-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top