gene prediction roderic guigó i serra imim/upf/crg
TRANSCRIPT
gene prediction
roderic guigó i serraIMIM/UPF/CRG
number of genes in chromosome 22
• initial annotation 545 Dunham et al., 1999
• genscan+RT-PCR 590 Das et al., 2001
• genscan+microarrays 730 Shoemaker et al., 2001
• reviewed annotation 726 chr22 team, sanger, 2001
• mouse shotgun data +20 (our data)
• geneid predictions 794
• genscan predictions 1128
number of genes in human genome
• Consortium 30.000-40.000 2001
• Celera 27.000-38.000 2001
• Consortium+Celera 50.000 Hogenesch et al.
2001
• DBsearches 65.000-75.000 Wrigth et al., 2001
• HumanGenomeSciences 90.000-120.000 Haseltine,
2001
decodificació del genomaACTCAGCCCCAGCGGAGGTGAAGGACGTCCTTCCCCAGGAGCCGGTGAGAAGCGCAGTCGGGGGCACGGGGATGAGCTCAGGGGCCTCTAGAAAGATGTAGCTGGGACCTCGGGAAGCCCTGGCCTCCAGGTAGTCTCAGGAGAGCTACTCAGGGTCGGGCTTGGGGAGAGGAGGAGCGGGGGTGAGGCCAGCAGCAGGGGACTGGACCTGGGAAGGGCTGGGCAGCAGAGACGACCCGACCCGCTAGAAGGTGGGGTGGGGAGAGCATGTGGACTAGGAGCTAAGCCACAGCAGGACCCCCACGAGTTGTCACTGTCATTTATCGAGCACCTACTGGGTGTCCCCAGTGTCCTCAGATCTCCATAACTGGGAAGCCAGGGGCAGCGACACGGTAGCTAGCCGTCGATTGGAGAACTTTAAAATGAGGACTGAATTAGCTCATAAATGGAAAACGGCGCTTAAATGTGAGGTTAGAGCTTAGAATGTGAAGGGAGAATGAGGAATGCGAGACTGGGACTGAGATGGAACCGGCGGTGGGGAGGGGGAGGGGGTGTGGAATTTGAACCCCGGGAGAGAAAGATGGAATTTTGGCTATGGAGGCCGACCTGGGGATGGGGAAATAAGAGAAGACCAGGAGGGAGTTAAATAGGGAATGGGTTGGGGGCGGCTTGGTAACTGTTTGTGCTGGGATTAGGCTGTTGCAGATAATGGAGCAAGGCTTGGAAGGCTAACCTGGGGTGGGGCCGGGTTGGGGTCGGGCTGGGGGCGGGAGGAGTCCTCACTGGCGGTTGATTGACAGTTTCTCCTTCCCCAGACTGGCCAATCACAGGCAGGAAGATGAAGGTTCTGTGGGCTGCGTTGCTGGTCACATTCCTGGCAGGTATGGGGCGGGGCTTGCTCGGTTTTCCCCGCTTCTCCCCCTCTCATCCTCACCTCAACCTCCTGGCCCCATTCAAGCACACCCTGGGCCCCCTCTTCTTCTGCTGGTCTGTCCCCTGAGGGGAAAGCCCAGGTCTGAGGCTTCTATGCTGCTTTCTGGCTCAGAACAGCGATTTGACGCTCTGTGAGCCTCGGTTCCTCCCCCGCTTTTTTTTTTTCAGCCAGAGTCTCACTCTGTCGCCCAGGCTGGAGTGCAGTGGCGCAATCTCAGCTCACTGCAAGCTCCGCCTCCCGGGTTCACGCTATTCTCCCGCCTCAGCCTCCCGAGTAGCTGGGACTACAGGCGCCCGCCACCATGCCCGGCTAATTTTTTGTACTTTGAGTAGGGAAGGGGTTTCACTGTATTATCCAGGATGGTCTCTATCTCCTGACCTCGTGATCTGCCCGCCTGGCCTCCCAAAGTGCTGGAATTACAGGCGTGAGCCTCCGCGCCCGGCCTCCCCATCCTTAATATAGGAGTTAGAAGTTTTTGTTTGTTTGTTTTGTTTTGTTTTTGTTTTGTTTTGAGATGAAGTCCCTCTGTCGCCCAGGCTGGAGTGCAGTGGCTCCCAGGCTGGAGTTCAGTGGCTGGATCTCGGCTCACTGCAAGCTCCGCCTCCCAGGTTCACGCCATTCTCCTGCCTCAGCCTCCGGAGTAGCTGGGACTACAGGAACATGCCACCACACCCGACTAACTTTTTTTGTATTTTTAGTAGAGACGGGGTTTCACCATGTTGGCCAGGCTGGTCTGGAACTCCTGACCTCAGGTGATCTGCCTGCTTCAACCTCCCAAAGTGCTGGGATTACAGACGTGGGCCACCGCGCCCGGCTGGGAGTTAAGAGGTTTCTAATGCATTGCATTAGAATACCAGACACGGGACAGCTGTGATCTTTATTCTCCATCACCCCACACAGCCCTGCCTGGGGCACACAAGGACACTCAATACACGCTTTTCGGGCGCGGTGGCTCAAGCTGTAATCCCAGCACTTTGGGAGGCTGAGGCGGGTGGTACATGAGGTCAGGAGATCGAGACCATCCTGGCTAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAAACTAGCCCGGGCGTGGTGGCGGGCGCCTGTAGTCCCAGCTACTCGGAGGCTGAGGCAGGAGAATGGCGTGAACCTGGGAGGCGGAGCTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGTGACACAGCGCGAGACTCCGTCTCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATACACGCTTTTCCGCTAGGCACGGTGGCTCACCCCTGTAATCCCAGCATTTTGGGAGGCCAAGGTGGGAGGATCACTTGAGCCCAGGAGTTCAACACCAGACTCAGCAACATAGTGAGACTCTCTCTACTAAAAATACAAAAATTAGCCAGGCCTGGTGCCACACACCTGTGGTCCCAGCTACTCAGAAGGCTAAGGCAGGAGGATCGCTTAAGCCCAGAAGGTCAAGGTTGCAGTGAACCACGTTCAGGCCACTGCAGTCCAGCCTGGGTGACAGAGCAAGACCCTGTCTGTAAATAAATAACGCTTTTCAAGTGATTAAACAGACTCCCCCCTCACCCTGCCCACCATGGCTCCAAAGCAGCATTTGTGGAGCACCTTCTGTGTGCCCCTAGGTACTAGCTGCCTGGACGGGGTCAGAAGGAACCTGAACCACCTTCAACTTGTTCCACACAGGATGCCAGGCCAAGGTGGAGCAACCGGTGGAGCCAGAGACAGAACCCGACGTTCGCCAGCAGGCTGAGTGGCAGAGCGGCCAGCCCTGGGAGCTGGCACTGGGTCGCTTTTGGGATTACCTGCGCTGGGTGCAGACACTGTCTGAGCAGGTGCAGGAGGAGCTGCTCAGCCCCCAGGTCACCCAGGAACTGACGTGAGTGTCCCCATCCCGGCCCTTGACCCTCCTGGTGGGCGGCTATACCTCCCCAGGTCCAGGTTTCATTCTGCCCCTGCCACTAAGTCTTGGGGGCCTGGGTCTCTGCTGGTTCTAGCTTCCTCTTCCCATTTCTGACTCCTGGCTTTAGCTCTCTGGAATTCTCTCTCTCAGTTCTGTTTCTCCCTCTTCCCTTCTGACTCAGCCTGTCACACTCGTCCTGGCGCTGTCTCTGTCCTTCACTAGCTCTTTTATATAGAGACAGAGAGATGGGGTCTCACTGTGTTGCCCAGGCTGGTCTTGAACTTCTGGGCTCAAGCGATCCTCCCACCTCGCCTCCCAAAGTGCTGGGAATAGAGACATGAGCCACCTTGCTCGGCCTCCTAGCTCTTTCTTCGTCTCTGCCTCTGCTCTCTGCGTCTGTCTTTGTCTCCTCTCTGCCTCTGTCCCGTTCCTTCTCTCTTGGTTCACTGCCCTTCTGTCTCTCCCTGTTCTCCTTAGGAGACTCTCCTCTCTTCCTTCTCGAGTCTCTCTGGCTGATCCCCATCTCACCCACACCTATCC
the human genome sequence
QIKDLLVSSSTDLDTTLVLVNAIYFKGMWKTAFNAEDTREMPFHVTKQESKPVQMMCMNNSFNVATLPAEKMKILELPFASGDLSMLVLLPDEVSDLERIEKTINFEKLTEWTNPNTMEKRRVKVYLPQMKIEEKYNLTSVLMALGMTDLFIPSANLTGISSAESLKISQAVHGAFMELSEDGIEMAGSTGVIEDIKHSPESEQFRADHPFLFLIKHNPTNTIVYFGRYWSP
the amino acid sequence of the proteins
EXONS
INTRONS
ELEMENTREGULADOR‘UPSTREAM’
ELEMENTREGULADOR
‘DOWNSTREAM’
PROMOTOR
Estructura dels Gens
Del DNA al RNA
Del RNA a la Proteïna
Mecanisme Molecular
Prediction of splice sites
accuracy of gene prediction programs
accuracy of gene prediction programs
accuracy of gene prediction programs
• rosseta (Batzoglou et al., 2000)
• cem (Bafna and Huson, 2000)
• sgp1 (Wiehe et al., 2000)
• twinscan (Korf et al., 2001)
• slam ( Patcher et al., 2001)
• sgp2 (Guigó et al., in preparation)
comparative gene prediciton
QuerySequence
tblastxHSPs
geneidExons
HSPsProjectio
ns
SGPExons
syntenic gene prediction (sgp2)
benchmarking sgp2 - accuracy
scimog
mit
Predicting “novel” genes in the human genome
golden path annotationsgolden path annotationsadditional blastn matches to ENSEMBL + REFSEQadditional blastn matches to ENSEMBL + REFSEQtblastx
geneidexons
tblastx
sgpgenes
Golden Path Oct 7, 2000 freeze. RepeatMaskedTraceDB, as on February 2001
“novel” genes ?
• 48,890 genic regions (known genes or similar)
• 15,489 genes longer than 100 aa predicted by sgp
• 13,302 non redundant predictions
• 8,416 supported by tblastx hits to mouse 1.5
• 3,331 predicted genes with at least two exons suported by tblastx hits
• + 719 predicted genes supported by tblastx hits covering at least 75% of the prediction
4,050 supported sgp predictions
25% of them not overlapping genscan predictions
validation of predictions
EST identity 18%
NR similarity 31%
CDD (NCBI) 24%
Mouse ESTs 28%
Rat ESTs 19%
Tetraodon 15%
at least one of the above
56%
Experimental validation
chr22
chr21
human genome vs. Mouse traceDB
SN SP CC SNe SPe SNSP ME WE
chr22.assem. 0.87 0.65 0.75 0.69 0.54 0.62 0.14 0.33
chr22.shot. 0.82 0.66 0.72 0.63 0.54 0.58 0.20 0.31
human genome vs. Mouse assemblies
chr22 chr21
776 Predicted 420
-655 known -326
-25 low complexity -5
-26 short -11
-19 intronless -34
45 36
testing novel predictions experimentally
In total 81 predictions. For 40 of them, adjacent exon pairs were selected for rt-pcr
Positive controls N Success rate
refseq 78 96%
Known tissue specific genes
20 25%
Low expressing genes
13 Not ready
Twinscan with EST support
Not ready
Test sets
Twinscan Not ready
SGP 40 28%
preliminary results
aknowledgments
IMIM-UPF-CRG, Barcelona
• Josep F. Abril
• Genís Parra
• Roderic Guigó
GlaxoSmithKline, King of Prussia
• Pankaj Agarwal
Max Plank Institute for Chemical Ecology, Jena
• Thomas Wiehe
Whitehead Institute/MIT Center for Genome Research, Cambridge
• Gwen Acton
• Dan Brown
• Kerstin
Mouse Sequence Consortium