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Record W2750304043 · doi:10.1038/sdata.2017.112

FANTOM5 CAGE profiles of human and mouse samples

2017· article· en· W2750304043 on OpenAlexafffund
Shuhei Noguchi, Takahiro Arakawa, Shiro Fukuda, Masaaki Furuno, Akira Hasegawa, Fumi Hori, Sachi Ishikawa-Kato, Kaoru Kaida, Ai Kaiho, Mutsumi Kanamori-Katayama, Tsugumi Kawashima, Miki Kojima, Atsutaka Kubosaki, Ri-ichiroh Manabe, Mitsuyoshi Murata, Sayaka Nagao-Sato, Kenichi Nakazato, Noriko Ninomiya, Hiromi Nishiyori-Sueki, Shohei Noma, Eri Saijyo, Akiko Saka, Mizuho Sakai, Christophe Simon, Naoko Suzuki, Michihira Tagami, Shoko Watanabe, Shigehiro Yoshida, Peter Arner, Richard A Axton, Magda Babina, J. Kenneth Baillie, Timothy C. Barnett, Anthony G Beckhouse, Antje Blumenthal, Beatrice Bodega, Alessandro Bonetti, James Briggs, Frank Brombacher, Ailsa J Carlisle, Hans Clevers, Carrie Davis, Michael Detmar, Taeko Dohi, Albert S.B. Edge, Matthias Edinger, Anna Ehrlund, Karl Ekwall, Mitsuhiro Endoh, Hideki Enomoto, Afsaneh Eslami, Michela Fagiolini, Lynsey Fairbairn, Mary C. Farach‐Carson, Geoffrey J. Faulkner, Carmelo Ferrai, Malcolm E Fisher, Lesley M. Forrester, Rie Fujita, Jun-ichi Furusawa, Teunis B. H. Geijtenbeek, T Gingeras, Dan Goldowitz, Sven Guhl, Reto Guler, Stefano Gustincich, Thomas J Ha, Masahide Hamaguchi, Mitsuko Hara, Yuki Hasegawa, Meenhard Herlyn, Peter Heutink, Kelly J Hitchens, David Hume, Tomokatsu Ikawa, Yuri Ishizu, Chieko Kai, Hiroshi Kawamoto, Yuki I. Kawamura, Judith S. Kempfle, Tony Kenna, Juha Kere, Levon M. Khachigian, Toshio Kitamura, Sarah Klein, S. Peter Klinken, Alan J. Knox, Soichi Kojima, Haruhiko Koseki, Shigeo Koyasu, Weon-Ju Lee, Andreas Lennartsson, Alan Mackay‐Sim, Niklas Mejhert, Yosuke Mizuno, Hiromasa Morikawa, Mitsuru Morimoto, Kazuyo Moro, Kelly J Morris, Hozumi Motohashi, Christine L. Mummery, Yutaka Nakachi, Fumio Nakahara, Toshiyuki Nakamura, Yukio Nakamura, Tadasuke Nozaki, Soichi Ogishima, Naganari Ohkura, Hiroshi Ohno, Mitsuhiro Ohshima, Mariko Okada, Yasushi Okazaki, Valerio Orlando, Dmitry A. Ovchinnikov, Robert Passier, Margaret Patrikakis, Ana Pombo, Swati Pradhan-Bhatt, Xian‐Yang Qin, Michael Rehli, Patrizia Rizzu, Sugata Roy, Antti Sajantila, Shimon Sakaguchi, Hiroki Sato, Hironori Satoh, Suzana Savvi, Alka Saxena, Christian Schmidl, Claudio Schneider, Gundula Schulze‐Tanzil, Anita Schwegmann, Guojun Sheng, Jay W. Shin, Daisuke Sugiyama, Takaaki Sugiyama, Kim Summers, Naoko Takahashi, Jun Takai, Hiroshi Tanaka, Hideki Tatsukawa, Andru Tomoiu, Hiroo Toyoda, Marc van de Wetering, Linda Berg, Roberto Verardo, Dipti Vijayan, Christine A. Wells, Louise N Winteringham, Ernst J. Wolvetang, Yoko Yamaguchi, Masayuki Yamamoto, Chiyo Yanagi-Mizuochi, Misako Yoneda, Yohei Yonekura, Peter Zhang, S. Zucchelli, Imad Abugessaisa, Jayson Harshbarger, Atsushi Kondo, Timo Lassmann, Marina Lizio, Serkan Sahin, Thierry Sengstag, Jessica Severin, Hisashi Shimoji, Masanori Suzuki, Harukazu Suzuki, Jun Kawai, Naoto Kondo, Masayoshi Itoh, Carsten O. Daub, Takeya Kasukawa, Hideya Kawaji, Piero Carninci, Alistair R. R. Forrest, Yoshihide Hayashizaki

Bibliographic record

VenueScientific Data · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsChild and Family Research InstituteUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentDiamantina Institute, University of QueenslandRIKENTokyo Medical and Dental UniversityBiotechnology and Biological Sciences Research CouncilUniversitätsklinikum RegensburgDeutsches Zentrum für Neurodegenerative ErkrankungenKarolinska InstitutetUniversiteit van AmsterdamInternational Centre for Genetic Engineering and BiotechnologyUniversity of QueenslandUniversity of Cape TownMinistry of Education, Culture, Sports, Science and TechnologySouth African Medical Research CouncilMedical Research CouncilUniversity of Texas Health Science Center at HoustonWellcome TrustNational Institute on Deafness and Other Communication DisordersChild and Family Research InstituteNational Cancer InstituteEidgenössische Technische Hochschule ZürichMelanoma Research Alliance
KeywordsBiologyComputational biologyTranscription (linguistics)CageGenomePromoterGenePipeline (software)WorkflowGene expressionCell biologyGeneticsComputer scienceDatabase

Abstract

fetched live from OpenAlex

In the FANTOM5 project, transcription initiation events across the human and mouse genomes were mapped at a single base-pair resolution and their frequencies were monitored by CAGE (Cap Analysis of Gene Expression) coupled with single-molecule sequencing. Approximately three thousands of samples, consisting of a variety of primary cells, tissues, cell lines, and time series samples during cell activation and development, were subjected to a uniform pipeline of CAGE data production. The analysis pipeline started by measuring RNA extracts to assess their quality, and continued to CAGE library production by using a robotic or a manual workflow, single molecule sequencing, and computational processing to generate frequencies of transcription initiation. Resulting data represents the consequence of transcriptional regulation in each analyzed state of mammalian cells. Non-overlapping peaks over the CAGE profiles, approximately 200,000 and 150,000 peaks for the human and mouse genomes, were identified and annotated to provide precise location of known promoters as well as novel ones, and to quantify their activities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.326
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations362
Published2017
Admission routes2
Has abstractyes

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