1
|
Noorthoorn E, Lepping P, Steinert T, Flammer E, Massood B, Mulder N. Symposium: Mental Health Law Differences and Coercive Measures Over Four Countries. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
In 2008, the UNHCR issued a convention on the rights of persons with disability. Since then, many countries were visited by the High Commissioner for Human Rights. In a number of countries, for example Germany and the Netherlands, mental health legislation was considered unsatisfactory and either regional variations in procedures or new legislation was drafted. In Germany, the final decision after different admission procedures is always made by a judge. In the Netherlands, detention on mental health ground with involuntary admission is decided by a Governmental administrator working for the local Major. In England and Wales, it is decided by three medical/psychiatric professionals. Currently, the Netherlands is drafting a law following the main principles of the Anglo-Saxon law. In Germany, all federal states are currently adopting their mental health laws to fulfil requirements of the Constitutional Court, which decided that coercive treatment is only admissible under very strict conditions after a judge's decision. Studies show the Dutch legislation is associated with higher seclusion rates, in numbers, and duration. Moreover, recent German findings show in a recent period when involuntary medication was not admissible, inpatient violence and coercive measures increased significantly. In this symposium, we discuss the several laws and regulations of four countries (Wales, Ireland, Germany, Netherlands), now and in the near future. Each presentation of a certain countries’ regulations is followed by a description of standard figures of the country, first by an expert in the respective country's law, and consequently by an expert in nationwide or regional figures.Disclosure of interestThe authors have not supplied their declaration of competing interest.
Collapse
|
2
|
Wolfenden K, Mulder N. Further characterization of the metabolome of Mycobacterium tuberculosis. Int J Infect Dis 2014. [DOI: 10.1016/j.ijid.2014.03.1040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|
3
|
Cats A, Devries E, Mulder N, Kleibeuker J. Regional differences of physiological functions and cancer susceptibility in the human large intestine. Int J Oncol 2012; 9:1055-69. [PMID: 21541613 DOI: 10.3892/ijo.9.5.1055] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Regional differences in function, metabolism and morphology between proximal colon, distal colon and rectum may be important in the pathogenesis and biologic behaviour of tumours originating from these segments. Thus, the effect of primary prevention of colorectal cancer may also differ from one large bowel segment to another. Therefore, this review underscores that one should be careful extrapolating results obtained in a short segment of the large bowel to the entire colorectum. Obviously, future studies concerning the pathogenesis and possibilities for prevention of large bowel cancer should certainly examine results by subsite as a routine procedure.
Collapse
Affiliation(s)
- A Cats
- UNIV GRONINGEN HOSP,DEPT INTERNAL MED,DIV GASTROENTEROL,NL-9700 RB GRONINGEN,NETHERLANDS. UNIV GRONINGEN HOSP,DEPT INTERNAL MED,DIV MED ONCOL,NL-9700 RB GRONINGEN,NETHERLANDS
| | | | | | | |
Collapse
|
4
|
Blijd-Hoogewys E, van Dijck R, Emmelkamp P, Mulder N, Oude Voshaar RC, Schippers G, Spinhoven P, Vermeiren R. [Benchmarken is 'work in progress']. Tijdschr Psychiatr 2012; 54:1031-1038. [PMID: 23250645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND In the March edition of this journal a group of professors criticised the methods adopted by the SBG (Benchmark foundation of the Dutch Mental Health Services). The critical comments relate to the alleged objectives ('pay-for-performance' in the Dutch Mental Health Services) and the methods involving confounding, bias and the use of insufficiently sensitive instruments. AIM To provide more detailed information about the SBG and the role of the scientific council (WR) and about the social context within which rom and benchmarking are developing, and to give our views on the methodological criticisms. METHOD We elucidate the methods of the SBG and the role of the WR and we clarify the ways in which ROM and benchmarking are currently being used. RESULTS We recognise that there are methodological problems. The wr too warns against jumping to conclusions on the basis of data whose validity is still under discussion. The Dutch Mental Health Services have practically no experience of rom and benchmarking. The Dutch Mental Health Services need to gain more experience in this field. On the other hand, it is true that rom data and comparisons between institutions can lead to improvements in the standard of care, provided these procedures are carried out carefully. In the SGB methods the aforementioned problems have been removed, at least partially. The SBG is concerned not only with symptom reduction but also with the functioning of the individual and with his or her quality of life. CONCLUSION The WR believes that the Dutch Mental Health Services should operate a scientifically validated benchmark system. Sofar, there has been hardly any research into whether benchmark data really say anything about quality and/or whether comparisons between institutions are valid. A national ROM-system is needed. Current initiatives are creating ways in which these matters can be investigated, preferably in conjunction with scientists and professionals.
Collapse
|
5
|
|
6
|
Mulder N, Fleischmann W, Kanapin A, Arwailer R. [InterPro as a new tool for whole genome analysis. A comparative analysis of Mycobacterium tuberculosis, Bacillus subtilis and Escherichia coli as a case study]. Biofizika 2006; 51:656-60. [PMID: 16909843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
InterPro was developed as a new integrated documentation resource for protein families, domains and functional sites to rationalize the complementary efforts of the PROSITE, PRINTS, Pfam and ProDom database projects and has applications in computational functional classification of newly determined sequences lacking biochemical characterization and in comparative genome analysis. InterPro contains over 3500 entries, with more than 1000000 hits in SWISS-PROT and TrEMBL. The database is accessible for text- and sequence-based searches at http://www.ebi.ac.uk/interpro/. InterPro was used for whole proteome analysis of the pathogenic microorganism, Mycobacterium tuberculosis, and comparison with the predicted protein coding sequences of the complete genomes of Bacillus subtilis and Escherichia coli. 64.8% of the M. tuberculosis proteins in the proteome matched InterPro entries, and these could be classified according to function. The comparison with B. subtilis and E. coli provided information on the most common protein families and domains, and the most highly represented families in each organism. InterPro thus provides a useful tool for global views of whole proteomes and their compositions.
Collapse
|
7
|
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 ARR, 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 SPT, 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, Schönbach C, Sekiguchi K, Semple CAM, 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. The transcriptional landscape of the mammalian genome. Science 2005; 309:1559-63. [PMID: 16141072 DOI: 10.1126/science.1112014] [Citation(s) in RCA: 2607] [Impact Index Per Article: 137.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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.
Collapse
|
8
|
Abstract
InterProScan [E. M. Zdobnov and R. Apweiler (2001) Bioinformatics, 17, 847–848] is a tool that combines different protein signature recognition methods from the InterPro [N. J. Mulder, R. Apweiler, T. K. Attwood, A. Bairoch, A. Bateman, D. Binns, P. Bradley, P. Bork, P. Bucher, L. Cerutti et al. (2005) Nucleic Acids Res., 33, D201–D205] consortium member databases into one resource. At the time of writing there are 10 distinct publicly available databases in the application. Protein as well as DNA sequences can be analysed. A web-based version is accessible for academic and commercial organizations from the EBI (). In addition, a standalone Perl version and a SOAP Web Service [J. Snell, D. Tidwell and P. Kulchenko (2001) Programming Web Services with SOAP, 1st edn. O'Reilly Publishers, Sebastopol, CA, ] are also available to the users. Various output formats are supported and include text tables, XML documents, as well as various graphs to help interpret the results.
Collapse
Affiliation(s)
| | | | | | | | | | | | - R. Lopez
- To whom correspondence should be addressed at: EMBL Outstation – The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Tel: +44 1223 494423; Fax: +44 1223 494468;
| |
Collapse
|
9
|
Reyners A, Hollema H, Mulder N. Intensive chemotherapy with autologous bone marrow transplantation in patients with locally advanced breast cancer: 12-years follow-u. J Clin Oncol 2004. [DOI: 10.1200/jco.2004.22.90140.700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- A. Reyners
- Academic Hospital Groningen, Groningen, Netherlands
| | - H. Hollema
- Academic Hospital Groningen, Groningen, Netherlands
| | - N. Mulder
- Academic Hospital Groningen, Groningen, Netherlands
| |
Collapse
|
10
|
Kanapin A, Apweiler R, Biswas M, Fleischmann W, Karavidopoulou Y, Kersey P, Kriventseva EV, Mittard V, Mulder N, Oinn T, Phan I, Servant F, Zdobnov E. Interactive InterPro-based comparisons of proteins in whole genomes. Bioinformatics 2002; 18:374-5. [PMID: 11847096 DOI: 10.1093/bioinformatics/18.2.374] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION The SWISS-PROT group at the EBI has developed the Proteome Analysis Database utilizing existing resources and providing comprehensive and integrated comparative analysis of the predicted protein coding sequences of the complete genomes of bacteria, archaea and eukaryotes. The Proteome Analysis Database is accompanied by a program that has been designed to carry out interactive InterPro proteome comparisons for any one proteome against any other one or more of the proteomes in the database.
Collapse
Affiliation(s)
- A Kanapin
- EMBL Outstation, The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Carlton JM, Muller R, Yowell CA, Fluegge MR, Sturrock KA, Pritt JR, Vargas-Serrato E, Galinski MR, Barnwell JW, Mulder N, Kanapin A, Cawley SE, Hide WA, Dame JB. Profiling the malaria genome: a gene survey of three species of malaria parasite with comparison to other apicomplexan species. Mol Biochem Parasitol 2001; 118:201-10. [PMID: 11738710 DOI: 10.1016/s0166-6851(01)00371-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We have undertaken the first comparative pilot gene discovery analysis of approximately 25,000 random genomic and expressed sequence tags (ESTs) from three species of Plasmodium, the infectious agent that causes malaria. A total of 5482 genome survey sequences (GSSs) and 5582 ESTs were generated from mung bean nuclease (MBN) and cDNA libraries, respectively, of the ANKA line of the rodent malaria parasite Plasmodium berghei, and 10,874 GSSs generated from MBN libraries of the Salvador I and Belem lines of Plasmodium vivax, the most geographically wide-spread human malaria pathogen. These tags, together with 2438 Plasmodium falciparum sequences present in GenBank, were used to perform first-pass assembly and transcript reconstruction, and non-redundant consensus sequence datasets created. The datasets were compared against public protein databases and more than 1000 putative new Plasmodium proteins identified based on sequence similarity. Homologs of previously characterized Plasmodium genes were also identified, increasing the number of P. vivax and P. berghei sequences in public databases at least 10-fold. Comparative studies with other species of Apicomplexa identified interesting homologs of possible therapeutic or diagnostic value. A gene prediction program, Phat, was used to predict probable open reading frames for proteins in all three datasets. Predicted and non-redundant BLAST-matched proteins were submitted to InterPro, an integrated database of protein domains, signatures and families, for functional classification. Thus a partial predicted proteome was created for each species. This first comparative analysis of Plasmodium protein coding sequences represents a valuable resource for further studies on the biology of this important pathogen.
Collapse
Affiliation(s)
- J M Carlton
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20892, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
12
|
Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, Funke R, Gage D, Harris K, Heaford A, Howland J, Kann L, Lehoczky J, LeVine R, McEwan P, McKernan K, Meldrim J, Mesirov JP, Miranda C, Morris W, Naylor J, Raymond C, Rosetti M, Santos R, Sheridan A, Sougnez C, Stange-Thomann Y, Stojanovic N, Subramanian A, Wyman D, Rogers J, Sulston J, Ainscough R, Beck S, Bentley D, Burton J, Clee C, Carter N, Coulson A, Deadman R, Deloukas P, Dunham A, Dunham I, Durbin R, French L, Grafham D, Gregory S, Hubbard T, Humphray S, Hunt A, Jones M, Lloyd C, McMurray A, Matthews L, Mercer S, Milne S, Mullikin JC, Mungall A, Plumb R, Ross M, Shownkeen R, Sims S, Waterston RH, Wilson RK, Hillier LW, McPherson JD, Marra MA, Mardis ER, Fulton LA, Chinwalla AT, Pepin KH, Gish WR, Chissoe SL, Wendl MC, Delehaunty KD, Miner TL, Delehaunty A, Kramer JB, Cook LL, Fulton RS, Johnson DL, Minx PJ, Clifton SW, Hawkins T, Branscomb E, Predki P, Richardson P, Wenning S, Slezak T, Doggett N, Cheng JF, Olsen A, Lucas S, Elkin C, Uberbacher E, Frazier M, Gibbs RA, Muzny DM, Scherer SE, Bouck JB, Sodergren EJ, Worley KC, Rives CM, Gorrell JH, Metzker ML, Naylor SL, Kucherlapati RS, Nelson DL, Weinstock GM, Sakaki Y, Fujiyama A, Hattori M, Yada T, Toyoda A, Itoh T, Kawagoe C, Watanabe H, Totoki Y, Taylor T, Weissenbach J, Heilig R, Saurin W, Artiguenave F, Brottier P, Bruls T, Pelletier E, Robert C, Wincker P, Smith DR, Doucette-Stamm L, Rubenfield M, Weinstock K, Lee HM, Dubois J, Rosenthal A, Platzer M, Nyakatura G, Taudien S, Rump A, Yang H, Yu J, Wang J, Huang G, Gu J, Hood L, Rowen L, Madan A, Qin S, Davis RW, Federspiel NA, Abola AP, Proctor MJ, Myers RM, Schmutz J, Dickson M, Grimwood J, Cox DR, Olson MV, Kaul R, Raymond C, Shimizu N, Kawasaki K, Minoshima S, Evans GA, Athanasiou M, Schultz R, Roe BA, Chen F, Pan H, Ramser J, Lehrach H, Reinhardt R, McCombie WR, de la Bastide M, Dedhia N, Blöcker H, Hornischer K, Nordsiek G, Agarwala R, Aravind L, Bailey JA, Bateman A, Batzoglou S, Birney E, Bork P, Brown DG, Burge CB, Cerutti L, Chen HC, Church D, Clamp M, Copley RR, Doerks T, Eddy SR, Eichler EE, Furey TS, Galagan J, Gilbert JG, Harmon C, Hayashizaki Y, Haussler D, Hermjakob H, Hokamp K, Jang W, Johnson LS, Jones TA, Kasif S, Kaspryzk A, Kennedy S, Kent WJ, Kitts P, Koonin EV, Korf I, Kulp D, Lancet D, Lowe TM, McLysaght A, Mikkelsen T, Moran JV, Mulder N, Pollara VJ, Ponting CP, Schuler G, Schultz J, Slater G, Smit AF, Stupka E, Szustakowki J, Thierry-Mieg D, Thierry-Mieg J, Wagner L, Wallis J, Wheeler R, Williams A, Wolf YI, Wolfe KH, Yang SP, Yeh RF, Collins F, Guyer MS, Peterson J, Felsenfeld A, Wetterstrand KA, Patrinos A, Morgan MJ, de Jong P, Catanese JJ, Osoegawa K, Shizuya H, Choi S, Chen YJ, Szustakowki J. Initial sequencing and analysis of the human genome. Nature 2001; 409:860-921. [PMID: 11237011 DOI: 10.1038/35057062] [Citation(s) in RCA: 14499] [Impact Index Per Article: 630.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.
Collapse
Affiliation(s)
- E S Lander
- Whitehead Institute for Biomedical Research, Center for Genome Research, Cambridge, MA 02142, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
13
|
Apweiler R, Biswas M, Fleischmann W, Kanapin A, Karavidopoulou Y, Kersey P, Kriventseva EV, Mittard V, Mulder N, Phan I, Zdobnov E. Proteome Analysis Database: online application of InterPro and CluSTr for the functional classification of proteins in whole genomes. Nucleic Acids Res 2001; 29:44-8. [PMID: 11125045 PMCID: PMC29822 DOI: 10.1093/nar/29.1.44] [Citation(s) in RCA: 67] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2000] [Revised: 10/23/2000] [Accepted: 10/23/2000] [Indexed: 11/14/2022] Open
Abstract
The SWISS-PROT group at EBI has developed the Proteome Analysis Database utilising existing resources and providing comparative analysis of the predicted protein coding sequences of the complete genomes of bacteria, archaea and eukaryotes (http://www.ebi.ac. uk/proteome/). The two main projects used, InterPro and CluSTr, give a new perspective on families, domains and sites and cover 31-67% (InterPro statistics) of the proteins from each of the complete genomes. CluSTr covers the three complete eukaryotic genomes and the incomplete human genome data. The Proteome Analysis Database is accompanied by a program that has been designed to carry out InterPro proteome comparisons for any one proteome against any other one or more of the proteomes in the database.
Collapse
Affiliation(s)
- R Apweiler
- EMBL Outstation, The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
14
|
Cats A, Kleibeuker J, Boersma W, Devries E, Sluiter W, Bouman J, Sleijfer D, Mulder N. Duodenal 7-ethoxycoumarin-o-deethylase activity in colon-cancer patients. Int J Oncol 1993; 3:47-51. [PMID: 21573324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023] Open
Abstract
The biotransformation activity of the mono-oxygenase enzyme, 7-ethoxycoumarin-O-deethylase (EOD), was investigated in the upper digestive tract of colon cancer patients, and compared with patients with and without neoplasia. The three groups studied comprised 23 control, 17 metastasized colon cancer and 16 metastasized breast cancer patients. EOD activity was determined by spectrofluorometry in duodenal biopsies obtained during gastroduodenoscopy. No correlation between the presence of colon or breast cancer and the level of EOD activity was observed. It was concluded that biotransformation enzymes can be easily determined in duodenal biopsies derived during. gastroduodenoscopy. The role of EOD in the biogenesis of colon cancer seems to be limited.
Collapse
Affiliation(s)
- A Cats
- UNIV GRONINGEN HOSP,DEPT INTERNAL MED,DIV MED ONCOL,OOSTERSINGEL 59,9713 EZ GRONINGEN,NETHERLANDS. UNIV GRONINGEN HOSP,DEPT INTERNAL MED,DIV GASTROENTEROL,9713 EZ GRONINGEN,NETHERLANDS. UNIV GRONINGEN HOSP,DEPT INTERNAL MED,DIV ENDOCRINOL,9713 EZ GRONINGEN,NETHERLANDS
| | | | | | | | | | | | | | | |
Collapse
|
15
|
Wils J, Bleiberg H, Dalesio O, Blijham G, Mulder N, Planting A, Splinter T, Duez N. An EORTC Gastrointestinal Group evaluation of the combination of sequential methotrexate and 5-fluorouracil, combined with adriamycin in advanced measurable gastric cancer. J Clin Oncol 1986; 4:1799-803. [PMID: 3783204 DOI: 10.1200/jco.1986.4.12.1799] [Citation(s) in RCA: 86] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
In a phase II multicenter trial, 71 patients with advanced measurable gastric cancer were registered to receive sequential high-dose methotrexate (MTX) and 5-fluorouracil (5-FU) combined with Adriamycin (A [Adria Laboratories, Columbus, OH]). The response rate was 33% (22 of 67), including all eligible patients. There were nine complete responders (CRs). The median survival for all patients was 6 months. There has been one toxic death; however, three other patients died from toxicity associated with major protocol violations. It is concluded that this protocol is active in gastric cancer. Toxicity, partly because of nonprotocol adherence, is considerable and is now under further investigation in a randomized trial comparing this schedule with a combination of 5-FU, Adriamycin, and mitomycin C (FAM).
Collapse
|