Introduction to Bioinformatics - Tutorial no. 13

29
Introduction to Bioinformatics - Tutorial no. 13 Probe Design Gene Networks

description

Introduction to Bioinformatics - Tutorial no. 13. Probe Design Gene Networks. Probe design problem. Given a genome with a set of genes. Recall that each gene is represented by a probe (a short segment) of the corresponding cDNA. The length of a probe can be 20, 50, 70! - PowerPoint PPT Presentation

Transcript of Introduction to Bioinformatics - Tutorial no. 13

Page 1: Introduction to Bioinformatics -  Tutorial no. 13

Introduction to Bioinformatics - Tutorial no. 13

Probe Design

Gene Networks

Page 2: Introduction to Bioinformatics -  Tutorial no. 13

Probe design problem

Given a genome with a set of genes. Recall that each gene is represented by a

probe (a short segment) of the corresponding cDNA.

The length of a probe can be 20, 50, 70! The probe design problem tries to identify a

probe for every gene.

Page 3: Introduction to Bioinformatics -  Tutorial no. 13

Probe design problem (Informal definition)

Given a genome, for every cDNA (or mRNA) Xi, a probe pi is identified such that

pi is a substring of Xi; and pi does not cross-hybridize with other mRNAs

Probe design problem creates a probe pi for every mRNA Xi

X2 X3 X4X1

p1 p1 p1p1 X X X

Page 4: Introduction to Bioinformatics -  Tutorial no. 13

Primer3 Input

Sequence

5’ PCR primer

Oligo probe

3’ PCR primer

Include in PCR primerExclude from

PCR primer

Repeats library

Page 5: Introduction to Bioinformatics -  Tutorial no. 13

Primer3 Output

mRNA position

Length

Hybrid Tm

% GC Self complementarity

3’ complementarity

Sequence

Product

5’ PCR primer Oligo

probe

3’ PCR primer

Page 6: Introduction to Bioinformatics -  Tutorial no. 13

OligoDB

Sequence name to find

Page 7: Introduction to Bioinformatics -  Tutorial no. 13

OligoDB Input

Oligonucleotide lengthNumber for each mRNA

Background database

Ensembl Gene IDEnsembl

mRNA ID

Page 8: Introduction to Bioinformatics -  Tutorial no. 13

OligoDB Output

mRNA position

Tm of hybrid

Probe stability

Background matches

Oligo probe

Page 9: Introduction to Bioinformatics -  Tutorial no. 13

Biochemical Pathway Visualization Tools

BioCarta EXPASY KEGG WIT MetaCyc

Page 10: Introduction to Bioinformatics -  Tutorial no. 13

BioCarta

Main focus: Pathways and tools to study them.

Pathway tool is web-based. http://www.biocarta.com/genes/index.asp

Static pages of pathways. Metabolic and regulatory pathways.

Need licence to add/edit pathways.

Page 11: Introduction to Bioinformatics -  Tutorial no. 13

BioCarta Homepage

Page 12: Introduction to Bioinformatics -  Tutorial no. 13

BioCarta Metabolic Pathway Example Glycolysis. Compounds shown in

chemical and textual form.

Enzymes above arrows with legend at bottom.

Only enzymes are clickable.

Page 13: Introduction to Bioinformatics -  Tutorial no. 13

BioCarta Regulatory Pathway Example ATM signalling

pathway. All genes are clickable.

Page 14: Introduction to Bioinformatics -  Tutorial no. 13

ExPASy “Expert Protein Analysis System”. Main focus: Analysis of protein sequences and

structures. Pathway tool is web-based.

http://www.expasy.org/cgi-bin/search-biochem-index Static pages of pathways.

Metabolic and Regulatory pathways. Scanned in version of the Boehringer Mannheim

“Biochemical Pathways” map. Map partitioned into 115 pieces. Keywords matched against entries in map.

Cannot add/edit pathways.

Page 15: Introduction to Bioinformatics -  Tutorial no. 13

ExPASy Homepage

Page 16: Introduction to Bioinformatics -  Tutorial no. 13

ExPASy Metabolic Pathway Example Glycolysis. Color convention based on

Michal’s “Biochemical Pathways”. Color of compounds

depends on compound type. Color of arrows depend on

species (plant, animal, yeast, prokaryotes).

Only enzymes and arrows outside diagram are clickable.

Page 17: Introduction to Bioinformatics -  Tutorial no. 13

ExPASy Regulatory Pathway Example Insulin receptors. Only enzymes and

arrows outside diagram are clickable.

Page 18: Introduction to Bioinformatics -  Tutorial no. 13

KEGG

“Kyoto Encyclopedia of Genes and Genomes”. Main focus: Biochemical pathway visualization. Pathway tool is web-based.

http://www.kegg.com/kegg/kegg2.html Static pages of pathways.

Metabolic and Regulatory pathways. Different organisms.

Page 19: Introduction to Bioinformatics -  Tutorial no. 13

KEGG Homepage

Page 20: Introduction to Bioinformatics -  Tutorial no. 13

KEGG Metabolic Pathway Example Glycolysis. Substrates and products

are drawn in circles. Enzymes, represented by

EC number, are drawn in rectangles.

Adjacent pathways are drawn in semi-rectangles.

Enzymes found in the gene catalog of a specific organism are marked green.

All items are clickable.

Page 21: Introduction to Bioinformatics -  Tutorial no. 13

KEGG Metabolic Pathway Example Select specific species

Link to other pathway

Link to compound

Link to enzyme

Page 22: Introduction to Bioinformatics -  Tutorial no. 13

KEGG Regulatory Pathway Example MAPK signaling

pathway (Homo Sapiens).

Page 23: Introduction to Bioinformatics -  Tutorial no. 13

WIT

“What is There”. Main focus: Produce metabolic

reconstructions for sequenced (or partially sequenced) genomes.

Pathway tool is Web-based.http://wit.mcs.anl.gov/WIT2/

Static pages of pathways. Only metabolic pathways.

Page 24: Introduction to Bioinformatics -  Tutorial no. 13

WIT Homepage

Page 25: Introduction to Bioinformatics -  Tutorial no. 13

WIT Metabolic Pathway Example Glycolysis. Enzymes.

Substrates, and products are clickable.

Page 26: Introduction to Bioinformatics -  Tutorial no. 13

MetaCyc

Electronic encyclopedia of over 450 metabolic pathways from over 150 different organisms.

Software: Implemented in COMMON LISP; AI techniques

incorporated to allow inference, such as pathway prediction from sequenced genomes.

Need a licence to obtain software. Free for academic purposes only.

Graph layout algorithm for drawing metabolic pathways dynamically at run-time.

Need to manipulate database to add/edit pathways.

Page 27: Introduction to Bioinformatics -  Tutorial no. 13

MetaCyc Software

Page 28: Introduction to Bioinformatics -  Tutorial no. 13

MetaCyc Metabolic Pathway Example Glycolysis. Everything

(Substrates, products, adjacent pathways, and arrows) is clickable.

Page 29: Introduction to Bioinformatics -  Tutorial no. 13

Question

Do the enzymes form the same pathway share a common regulation?

Inspect Lysine Biosynthesis pathway. Use the following tools:

KEGG: http://www.genome.jp/kegg/ UCSC Genome Browser: genome.ucsc.edu TransFac database or alternative search tools like

TESS: http://www.cbil.upenn.edu/tess/