CD40 ligand and tumor necro sis factor alpha , the cells acquire a mature

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CD40 ligand and t umor necro s is factor alpha, t he cells acquire a mature p henotype of dendritic cells that is characterized by up-r egulation of h uman leukocy t e a ntigen (CD80 , C D86, CD40 and C D54 and appearance of C D83. These Second Order Semantic Enrichment and the role of Wiki’s for Professionals •Peter Bram ‘t Hoen •Ellen Sterrenburg •Herman van Haagen •Allessandro Botelho-Bovo •Judith Boer •Johan den Dunnen •Gert Jan van Ommen •Erik van Mulligen •Martijn Schuemie •Rob Jelier •Antoine Velthoven •Christina Hettne •Jan Kors •Johan van der Lei •Christine Chichester •Erik van Mulligen •Marc Weeber •Kevin Kalupson •Reuben Christie •Jacintha van Beemen •Nickolas Barris •Albert Mons •Gerard Meijssen •Erik Moeller •Peter Jan Roes •Karsten Uil •Siebrand Mazeland •Sabine Cretella Barend Mons

description

CD40 ligand and tumor necro sis factor alpha , the cells acquire a mature phenotype of dendritic cells that is characterized by up - regulation of human leukocy te antigen ( CD80 , CD86 , CD40 and CD54 and appearance of CD83 . These. Erik van Mulligen Martijn Schuemie - PowerPoint PPT Presentation

Transcript of CD40 ligand and tumor necro sis factor alpha , the cells acquire a mature

Page 1: CD40 ligand  and  tumor necro sis factor alpha ,  the  cells  acquire a mature

CD40 ligand and tumor necrosis factor alpha, the cells acquire a mature phenotype of dendritic cells that is characterized by up-regulation of human leukocy

te antigen (CD80, CD86, CD40and CD54 and appearance of CD83. These

Second Order Semantic Enrichmentand the role of Wiki’s for Professionals

Second Order Semantic Enrichmentand the role of Wiki’s for Professionals

•Peter Bram ‘t Hoen•Ellen Sterrenburg•Herman van Haagen•Allessandro Botelho-Bovo•Judith Boer•Johan den Dunnen •Gert Jan van Ommen

•Peter Bram ‘t Hoen•Ellen Sterrenburg•Herman van Haagen•Allessandro Botelho-Bovo•Judith Boer•Johan den Dunnen •Gert Jan van Ommen

•Erik van Mulligen•Martijn Schuemie•Rob Jelier•Antoine Velthoven•Christina Hettne•Jan Kors•Johan van der Lei

•Erik van Mulligen•Martijn Schuemie•Rob Jelier•Antoine Velthoven•Christina Hettne•Jan Kors•Johan van der Lei

•Christine Chichester•Erik van Mulligen•Marc Weeber•Kevin Kalupson•Reuben Christie•Jacintha van Beemen•Nickolas Barris•Albert Mons

•Christine Chichester•Erik van Mulligen•Marc Weeber•Kevin Kalupson•Reuben Christie•Jacintha van Beemen•Nickolas Barris•Albert Mons

•Gerard Meijssen•Erik Moeller•Peter Jan Roes•Karsten Uil•Siebrand Mazeland•Sabine Cretella

•Gerard Meijssen•Erik Moeller•Peter Jan Roes•Karsten Uil•Siebrand Mazeland•Sabine Cretella

Barend MonsBarend Mons

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The ConsortiumOpen Access Semantic Support Technology

For on-line Knowledge Tracking, Discovery and Management

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WikiProfessional

Semantic Web workspaces for scientistsenabling real time knowledge exchange and

exploration

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The Million Minds Approach

Why ?Why ?

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Many challenges in current biomedical research

• Volume of data (both high throughput and text)• Complexity • Distributed systems and databases• Incompatible data formats• Multi-disciplinarity• Multi-linguality• Ambiguity of terminology• Inability to share Knowledge• Globalization of knowledge

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Too much to read: major trends foreseen:

• From Reading to Consulting

• From Reading to Meta Analysis

• From Texts to Facts

• To Central AND COMMUNITY Annotation

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•Repetition of facts is of great value for the readability of individual papers, •but the fact itself is a single unit of information, and needs no repetition.

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– A defining characteristic of Wiki technology is the ease with which pages can be created and updated. Generally, there is no review before modifications are accepted.

The Million Minds Approach

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Ambiguity 1: Synonyms

• Facilitating networks of information. van Mulligen EM, Diwersy M, Schmidt M, Buurman H, Mons BProceedings of AMIA Symposium 2000, 868-72

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Ambiguity 2: Homonyms

PSAProstate Specific AntigenPSoriatic Arthritisalpha-2,8-PolySialic AcidPolySubstance AbusePicryl Sulfonic AcidPolymeric Silicic AcidPartial Sensory AgnosiaPoultry Science Association

• Distribution of information in biomedical abstracts and full-text publications, Schuemie MJ, Weeber M, Schijvenaars BJ, van Mulligen EM, van der Eijk CC, Jelier R, Mons B, Kors JA, Bioinformatics 2004 Nov 1, 20:2597-604

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Personal Communication Johan den Dunnen.Personal Communication Johan den Dunnen.

Websites such as www.dmd.nl are increasingly cited in the literatureWebsites such as www.dmd.nl are increasingly cited in the literature

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0

1000

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1 researchgroup

2 or moregroups

genes/proteins

The majority of (SP) proteins has more than 1 research group asociatedThe majority of (SP) proteins has more than 1 research group asociated

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So…..can we use wikis for this ??????So…..can we use wikis for this ??????

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• Contextual annotation of web pages for interactive browsing, van Mulligen E, Diwersy M, Schijvenaars B, Weeber M, van der Eijk CC, Jelier R, Schuemie M, Kors J, Mons B, Medinfo 2004, 11:94-8• Which gene did you mean?, Mons B, BMC Bioinformatics 2005 Jun 7, 6:142

First order semantic enrichment

The Knowlet

2nd order S.E.

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<Source concept><Target Concept><Relations>:

<Typea1> Database facts (mutiple attributes)<Typea2> Community Annotations (WikiProf)<Typeb1> Co-occurrence sentence<Typeb2> Co-occurrence abstract<Typec1> Concept Profile Match<Type c2> Sequence similarity (BLAST score Genes and Proteins only)<Type c3 Co-expression with (genes from expression Databases)

Knowlet building block

Knowlet of core concept Knowlet space

What does a Knowlet look like ‘under the hood’?

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person organisation Object 1

gene

Object 2

disease

Object 3

drug

3. Building an association matrix of large data sources

1 Million

1 Million

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Function unknow nChaperonesChromatin structureFibrous proteinsmRNA metabolismOthersRibosomal proteinsRibosome biogenesisTranslation

SRPPARN

l

• Assignment of protein function and discovery of new nucleolar proteins based on automatic analysis of MEDLINE. Martijn Schuemie, Christine Chichester, Frederique Lisaceck, Yohann Coute, Peter-Jan Roes, Jean Charles Sanchez, Barend MonsSpecial issue on Systems Biology in Proteomics, 2008 (accepted for publication)

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Cluster studies on basis of Homologene IDs

Cluster 4: EOM-specific genes in mdx

Cluster 5: Development of EOM muscleand rat atrophy

Cluster 1:Mdx miceDysferlin-deficient mice

Cluster 2: myositisCluster 3: DMD

GeneSet Clusterer, Rob Jelier, Erasmus MC

Kappa-based clustering based on Gene ID

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Clustering of genes based on similarity of concept profiles

GeneSet Clusterer, Rob Jelier, Erasmus MC

Cluster 1: atrophy and myopathy

Cluster 2: extraocular muscle of mdx

Cluster 3: human and mouse muscular dystrophies and myositis

Cluster 4: long gene lists

Cluster 5: muscle differentiation;Ky-mutant and Fxr-/- mice

Cluster 6: ageing and sarcopenia

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Evaluate biological processes that bring studies together

DatasetComparer, Rob Jelier, Erasmus MC

No overlap on GeneID level

Many assocations on concept profile level

Annotate

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Knowlet 

Association Matrix Meta-analysis

Expert Challenge

WikiZ/PExpert comments

Peer to Peer Review

Final Approval

U.W. Fingerprint

Update

Literature

Protein A

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• REGISTRATION (1X)

• Unique Author ID• E-mail Adress• PHP/userpage• People Knowlets

• Unique concept ID• Language variants• Homonyms• Definitions (brief)• Object Knowlets

Science Wiki’s• UID from WiktionaryZ• Research information• Talk-page• Liquid Threads• Object Knowlets

• UID from WiktionaryZ• Articles about UID’s• Encyclopaedic/ NPOV• Anonymous allowed

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Nature News February 15, 2007