Gough J

References (3)

Title : InterPro in 2022 - Paysan-Lafosse_2023_Nucleic.Acids.Res_51_D418
Author(s) : Paysan-Lafosse T , Blum M , Chuguransky S , Grego T , Pinto BL , Salazar GA , Bileschi ML , Bork P , Bridge A , Colwell L , Gough J , Haft DH , Letunic I , Marchler-Bauer A , Mi H , Natale DA , Orengo CA , Pandurangan AP , Rivoire C , Sigrist CJA , Sillitoe I , Thanki N , Thomas PD , Tosatto SCE , Wu CH , Bateman A
Ref : Nucleic Acids Research , 51 :D418 , 2023
Abstract : The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. Here, we report recent developments with InterPro (version 90.0) and its associated software, including updates to data content and to the website. These developments extend and enrich the information provided by InterPro, and provide a more user friendly access to the data. Additionally, we have worked on adding Pfam website features to the InterPro website, as the Pfam website will be retired in late 2022. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB. Moreover, we report the development of a card game as a method of engaging the non-scientific community. Finally, we discuss the benefits and challenges brought by the use of artificial intelligence for protein structure prediction.
ESTHER : Paysan-Lafosse_2023_Nucleic.Acids.Res_51_D418
PubMedSearch : Paysan-Lafosse_2023_Nucleic.Acids.Res_51_D418
PubMedID: 36350672

Title : The transcriptional landscape of the mammalian genome - Carninci_2005_Science_309_1559
Author(s) : Carninci P , Kasukawa T , Katayama S , Gough J , Frith MC , Maeda N , Oyama R , Ravasi T , Lenhard B , Wells C , Kodzius R , Shimokawa K , Bajic VB , Brenner SE , Batalov S , Forrest AR , Zavolan M , Davis MJ , Wilming LG , Aidinis V , Allen JE , Ambesi-Impiombato A , Apweiler R , Aturaliya RN , Bailey TL , Bansal M , Baxter L , Beisel KW , Bersano T , Bono H , Chalk AM , Chiu KP , Choudhary V , Christoffels A , Clutterbuck DR , Crowe ML , Dalla E , Dalrymple BP , de Bono B , Della Gatta G , di Bernardo D , Down T , Engstrom P , Fagiolini M , Faulkner G , Fletcher CF , Fukushima T , Furuno M , Futaki S , Gariboldi M , Georgii-Hemming P , Gingeras TR , Gojobori T , Green RE , Gustincich S , Harbers M , Hayashi Y , Hensch TK , Hirokawa N , Hill D , Huminiecki L , Iacono M , Ikeo K , Iwama A , Ishikawa T , Jakt M , Kanapin A , Katoh M , Kawasawa Y , Kelso J , Kitamura H , Kitano H , Kollias G , Krishnan SP , Kruger A , Kummerfeld SK , Kurochkin IV , Lareau LF , Lazarevic D , Lipovich L , Liu J , Liuni S , McWilliam S , Madan Babu M , Madera M , Marchionni L , Matsuda H , Matsuzawa S , Miki H , Mignone F , Miyake S , Morris K , Mottagui-Tabar S , Mulder N , Nakano N , Nakauchi H , Ng P , Nilsson R , Nishiguchi S , Nishikawa S , Nori F , Ohara O , Okazaki Y , Orlando V , Pang KC , Pavan WJ , Pavesi G , Pesole G , Petrovsky N , Piazza S , Reed J , Reid JF , Ring BZ , Ringwald M , Rost B , Ruan Y , Salzberg SL , Sandelin A , Schneider C , Schonbach C , Sekiguchi K , Semple CA , Seno S , Sessa L , Sheng Y , Shibata Y , Shimada H , Shimada K , Silva D , Sinclair B , Sperling S , Stupka E , Sugiura K , Sultana R , Takenaka Y , Taki K , Tammoja K , Tan SL , Tang S , Taylor MS , Tegner J , Teichmann SA , Ueda HR , van Nimwegen E , Verardo R , Wei CL , Yagi K , Yamanishi H , Zabarovsky E , Zhu S , Zimmer A , Hide W , Bult C , Grimmond SM , Teasdale RD , Liu ET , Brusic V , Quackenbush J , Wahlestedt C , Mattick JS , Hume DA , Kai C , Sasaki D , Tomaru Y , Fukuda S , Kanamori-Katayama M , Suzuki M , Aoki J , Arakawa T , Iida J , Imamura K , Itoh M , Kato T , Kawaji H , Kawagashira N , Kawashima T , Kojima M , Kondo S , Konno H , Nakano K , Ninomiya N , Nishio T , Okada M , Plessy C , Shibata K , Shiraki T , Suzuki S , Tagami M , Waki K , Watahiki A , Okamura-Oho Y , Suzuki H , Kawai J , Hayashizaki Y
Ref : Science , 309 :1559 , 2005
Abstract : This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
ESTHER : Carninci_2005_Science_309_1559
PubMedSearch : Carninci_2005_Science_309_1559
PubMedID: 16141072
Gene_locus related to this paper: mouse-abhd1 , mouse-abhd3 , mouse-abhd4 , mouse-acot4 , mouse-adcl4 , mouse-DGLB , mouse-ephx3 , mouse-Kansl3 , mouse-lipli , mouse-LIPN , mouse-Ppgb , mouse-q3uuq7 , mouse-srac1 , mouse-Tex30 , mouse-tmco4 , mouse-tmm53 , mouse-f172a

Title : Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs - Okazaki_2002_Nature_420_563
Author(s) : Okazaki Y , Furuno M , Kasukawa T , Adachi J , Bono H , Kondo S , Nikaido I , Osato N , Saito R , Suzuki H , Yamanaka I , Kiyosawa H , Yagi K , Tomaru Y , Hasegawa Y , Nogami A , Schonbach C , Gojobori T , Baldarelli R , Hill DP , Bult C , Hume DA , Quackenbush J , Schriml LM , Kanapin A , Matsuda H , Batalov S , Beisel KW , Blake JA , Bradt D , Brusic V , Chothia C , Corbani LE , Cousins S , Dalla E , Dragani TA , Fletcher CF , Forrest A , Frazer KS , Gaasterland T , Gariboldi M , Gissi C , Godzik A , Gough J , Grimmond S , Gustincich S , Hirokawa N , Jackson IJ , Jarvis ED , Kanai A , Kawaji H , Kawasawa Y , Kedzierski RM , King BL , Konagaya A , Kurochkin IV , Lee Y , Lenhard B , Lyons PA , Maglott DR , Maltais L , Marchionni L , McKenzie L , Miki H , Nagashima T , Numata K , Okido T , Pavan WJ , Pertea G , Pesole G , Petrovsky N , Pillai R , Pontius JU , Qi D , Ramachandran S , Ravasi T , Reed JC , Reed DJ , Reid J , Ring BZ , Ringwald M , Sandelin A , Schneider C , Semple CA , Setou M , Shimada K , Sultana R , Takenaka Y , Taylor MS , Teasdale RD , Tomita M , Verardo R , Wagner L , Wahlestedt C , Wang Y , Watanabe Y , Wells C , Wilming LG , Wynshaw-Boris A , Yanagisawa M , Yang I , Yang L , Yuan Z , Zavolan M , Zhu Y , Zimmer A , Carninci P , Hayatsu N , Hirozane-Kishikawa T , Konno H , Nakamura M , Sakazume N , Sato K , Shiraki T , Waki K , Kawai J , Aizawa K , Arakawa T , Fukuda S , Hara A , Hashizume W , Imotani K , Ishii Y , Itoh M , Kagawa I , Miyazaki A , Sakai K , Sasaki D , Shibata K , Shinagawa A , Yasunishi A , Yoshino M , Waterston R , Lander ES , Rogers J , Birney E , Hayashizaki Y
Ref : Nature , 420 :563 , 2002
Abstract : Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There is an international collaborative effort to identify all full-length mRNA transcripts from the mouse, and to ensure that each is represented in a physical collection of clones. Here we report the manual annotation of 60,770 full-length mouse complementary DNA sequences. These are clustered into 33,409 'transcriptional units', contributing 90.1% of a newly established mouse transcriptome database. Of these transcriptional units, 4,258 are new protein-coding and 11,665 are new non-coding messages, indicating that non-coding RNA is a major component of the transcriptome. 41% of all transcriptional units showed evidence of alternative splicing. In protein-coding transcripts, 79% of splice variations altered the protein product. Whole-transcriptome analyses resulted in the identification of 2,431 sense-antisense pairs. The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
ESTHER : Okazaki_2002_Nature_420_563
PubMedSearch : Okazaki_2002_Nature_420_563
PubMedID: 12466851
Gene_locus related to this paper: mouse-1lipg , mouse-1llip , mouse-1plrp , mouse-3neur , mouse-ABH15 , mouse-abhd4 , mouse-abhd5 , mouse-Abhd8 , mouse-Abhd11 , mouse-abhda , mouse-acot4 , mouse-adcl4 , mouse-AI607300 , mouse-BAAT , mouse-bphl , mouse-C87498 , mouse-Ldah , mouse-Ces1d , mouse-Ces2e , mouse-CMBL , mouse-DGLB , mouse-dpp9 , mouse-ES10 , mouse-F135A , mouse-FASN , mouse-hslip , mouse-hyes , mouse-Kansl3 , mouse-LIPH , mouse-LIPK , mouse-lipli , mouse-LIPM , mouse-lypla1 , mouse-lypla2 , mouse-MEST , mouse-MGLL , mouse-ndr4 , mouse-OVCA2 , mouse-pafa , mouse-pcp , mouse-ppce , mouse-Ppgb , mouse-PPME1 , mouse-q3uuq7 , mouse-Q8BLF1 , mouse-ACOT6 , mouse-Q8C1A9 , mouse-Q9DAI6 , mouse-Q80UX8 , mouse-Q8BGG9 , mouse-Q8C167 , mouse-rbbp9 , mouse-SERHL , mouse-tssp