Essential Bioinformatics and Biocomputing Module (Tutorial) Biological Databases Lecturer: Chen Yuzong Jan 2003 TAs: Cao Zhiwei Lee Teckkwong, Bernett.

Slides:



Advertisements
Similar presentations
HLA: matching and donor selection
Advertisements

Principles of Immunology Major Histocompatibility Complex 2/28/06 “Change is not merely necessary for life. It is life.” A Toffler.
© Wiley Publishing All Rights Reserved. Using Nucleotide Sequence Databases.
NCBI data, sliding window programs and dot plots Sept. 25, 2012 Learning objectives-Become familiar with OMIM and PubMed. Understand the difference between.
© Wiley Publishing All Rights Reserved. How Most People Use Bioinformatics.
On line (DNA and amino acid) Sequence Information Lecture 7.
1 Welcome to the Protein Database Tutorial This tutorial will describe how to navigate the section of Gramene that provides collective information on proteins.
How to use the web for bioinformatics Molecular Technologies Ethan Strauss X 1171
Introduction to Bioinformatics Lecturer: Dr. Yael Mandel-Gutfreund Teaching Assistant: Shula Shazman Sivan Bercovici Course web site :
Essential Bioinformatics and Biocomputing (LSM2104: Section I) Biological Databases and Bioinformatics Software Prof. Chen Yu Zong Tel:
How to use the web for bioinformatics Molecular Technologies February 11, 2005 Ethan Strauss X 1373
Biological Databases Notes adapted from lecture notes of Dr. Larry Hunter at the University of Colorado.
Biological Databases Chi-Cheng Lin, Ph.D. Associate Professor Department of Computer Science Winona State University – Rochester Center
Toward Making Online Biological Data Machine Understandable Cui Tao.
Major Histocompatibility Complex Chapter 7. MHC Major Histocompatibility Complex –Cluster of genes found in all mammals –Its products play role in discriminating.
Sequence Analysis. Today How to retrieve a DNA sequence? How to search for other related DNA sequences? How to search for its protein sequence? How to.
How to use the web for bioinformatics Ethan Strauss X 1171
Chapter 8 Major Histocompatibility Complex Dr. Capers
VACCINOMICS: CURRENT FINDINGS, CHALLENGES AND NOVEL APPROACHES FOR VACCINE DEVELOPMENT Megan Brown Dr. Inna G. Ovsyannikova and Dr. Gregory A. Poland.
Wellcome Trust Workshop Working with Pathogen Genomes Module 1 Artemis.
On line (DNA and amino acid) Sequence Information
Speaker: Sean D. Mooney Date: August 27, 2015 Bioinformatics I Date: August 27, 2015.
SPH 247 Statistical Analysis of Laboratory Data 1 May 12, 2015 SPH 247 Statistical Analysis of Laboratory Data.
WIBR Bioinformatics, © Whitehead Institute, 2004 Relational Databases for Biologists: Efficiently Managing and Manipulating Your Data Robert Latek, Ph.D.
NCBI’s Bioinformatics Resources Michele R. Tennant, Ph.D., M.L.I.S. Health Science Center Libraries U.F. Genetics Institute January 2015.
Introduction to Bioinformatics CPSC 265. Interface of biology and computer science Analysis of proteins, genes and genomes using computer algorithms and.
Copyright OpenHelix. No use or reproduction without express written consent1.
The Major Histocompatibility Complex (MHC) In all vertebrates there is a genetic region that has a major influence on graft survival This region is referred.
Biological databases Nicky Mulder:
Genomics and Personalized Health Care Databases Bailee Ludwig Quality Management.
SPH 247 Statistical Analysis of Laboratory Data 1May 14, 2013SPH 247 Statistical Analysis of Laboratory Data.
Genome Organization and Evolution. Assignment For 2/24/04 Read: Lesk, Chapter 2 Exercises 2.1, 2.5, 2.7, p 110 Problem 2.2, p 112 Weblems 2.4, 2.7, pp.
Genomics and Personalized Care Lab Session Leming Zhou, PhD School of Health and Rehabilitation Sciences Department of Health Information Management.
Copyright © 2010 Pearson Education Inc. Lecture 01 – Genetics & Genomics: An Introduction Based on Chapter 1 – Genetics: An introduction.
Overview of Bioinformatics 1 Module Denis Manley..
Biological databases Exercises. Discovery of distinct sequence databases using ensembl.
>gi| |gb|AAB | ADP-glucose pyrophosphorylase large subunit [Oryza sativa] 02-AUG-1996 Gene accession U66041 Plant Physiol. 112, 1399 (1996)
Complexities of Gene Expression Cells have regulated, complex systems –Not all genes are expressed in every cell –Many genes are not expressed all of.
Bioinformatics and Computational Biology
Lecture 18 – Functional Genomics Based on chapter 8 Functional and Comparative Genomics Copyright © 2010 Pearson Education Inc.
Lecture 1: Immunogenetics Dr ; Kwanama
Bioinformatics Computing
Specific Defenses of the Host Part 2 (acquired or adaptive immunity)
GENBANK FILE FORMAT LOCUS –LOCUS NAME Is usually the first letter of the genus and species name, followed by the accession number –SEQUENCE LENGTH Number.
Information retrieval and sliding window programs April 5, 2011 Hand in Homework #1. Homework #2 due Tuesday, April 12. Learning objectives- Understand.
Web services and genome annotation in GRID by DNA Data Bank of Japan (DDBJ) Center for Information Biology and DNA Data Bank of Japan National Institute.
Major Histocompatibility Complex (MHC) Human Leukocyte Antigen (HLA)
Bioinformatics Computing 1 CMP 807 – Day 4 Kevin Galens.
T Cell Receptor (TCR) & MHC Complexes-Antigen Presentation
MAJOR HISTOCOMPATIBILITY COMPLEX
Major Histocompatibility Complex
CZ5226: Advanced Bioinformatics Lecture 3: MHC Molecules Prof
BTY100-Lec#4.2 DNA to Protein (Central Dogma).
Major Histocompatibility Complex
Chapter 8 Major Histocompatibility Complex
and CHAPTER 6 Major Histocompatibility Complex (MHC) Molecules
Major Histocompatibility complex OR
Chapter 8 Major Histocompatibility Complex Dr. Capers
بنام خداي زيبائيها.
Genome organization and Bioinformatics
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
The major histocompatibility complex (MHC) and MHC molecules
Source Page Understanding for Heterogeneous Molecular Biological Data
Multiple Choice Test Tips
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Human Leukocyte Antigen (HLA)
How to search NCBI.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Presentation transcript:

Essential Bioinformatics and Biocomputing Module (Tutorial) Biological Databases Lecturer: Chen Yuzong Jan 2003 TAs: Cao Zhiwei Lee Teckkwong, Bernett

Biological databases Tutorial outline Purpose: Extraction of relevant information for a particular macromolecule Case study: HLA-DRB1 molecule

Biological databases Case study: HLA-DR1 molecule Characterization of HLA-DR1 beta chain 1.Gene sequence 2.Gene structure: Introns, exons, promoter region 3.Protein sequence 4.Protein Sequence features and domains 5.Protein 3-D Structure 6.Function 7.Variation – closest variants in humans and other species 8.Clinical features

Clarification of Genetic information

Biological databases Case study: HLA-DR1 molecule HLA class II histocompatibility antigen, DR-1 beta chain Possible starting points a) GenBank b) SWISS-PROT (SWISS-PROT) Search by keyword “ HLA DR-1 ” Pick P13758

HLA-DRB1: Accession No. in Swiss-prot

HLA-DRB1: Swiss-prot entry

HLA-DRB1: Cross references

HLA-DRB1: Keywords

HLA-DR1 molecule: Function From SWISS-PROT Protein of the major histocompatibility complex (MHC) class II which is involved in the induction of strong immune reaction. MHC II is involved in the control the expression of surface structures on lymphocytes and macrophages.

HLA-DRB1: protein sequence features

HLA-DRB1: Protein sequence

Biological databases: Case study: HLA-DRB1 molecule By now we have studied SWISS-PROT entries. From these we can extract the specific information – colored red: 1.Gene sequence 2. Gene structure: Introns, exons, promoter region 3. Protein sequence 4. Protein Sequence features and domains 5. Protein 3-D Structure 6. Function 7.Variation – closest variants in humans and other species 8. Clinical features

HLA-DRB1 molecule (Genbank, follow the link)

HLA-DR1 (Genbank): Gene structure (mRNA level)

HLA-DR1 (Genbank): Gene sequence (mRNA)

Map gene feature to RNA sequence tagttctccc tgagtgagac ttgcctgctt ctctggcccc tggtcctgtc ctgttctcca 60 gcatggtgtg tctgaagctc cctggaggct cctgcatgac agcgctgaca gtgacactga 120 tggtgctgag ctccccactg gctttggctg gggacacccg accacgtttc ttgtggcagc 180 ttaagtttga atgtcatttc ttcaatggga cggagcgggt gcggttgctg gaaagatgca 240 tctataacca agaggagtcc gtgcgcttcg acagcgacgt gggggagtac cgggcggtga 300 cggagctggg gcggcctgat gccgagtact ggaacagcca gaaggacctc ctggagcaga 360 ggcgggccgc ggtggacacc tactgcagac acaactacgg ggttggtgag agcttcacag 420 tgcagcggcg agttgagcct aaggtgactg tgtatccttc aaagacccag cccctgcagc 480 accacaacct cctggtctgc tctgtgagtg gtttctatcc aggcagcatt gaagtcaggt 540 ggttccggaa cggccaggaa gagaaggctg gggtggtgtc cacaggcctg atccagaatg 600 gagattggac cttccagacc ctggtgatgc tggaaacagt tcctcggagt ggagaggttt 660 acacctgcca agtggagcac ccaagtgtga cgagccctct cacagtggaa tggagagcac 720 ggtctgaatc tgcacagagc aagatgctga gtggagtcgg gggcttcgtg ctgggcctgc 780 tcttccttgg ggccgggctg ttcatctact tcaggaatca gaaaggacac tctggacttc 840 agccaacagg attcctgagc tgaaatgcag atgaccacat tcaaggaaga accttctgtc 900 ccagctttgc agaatgaaaa gctttcctgc ttggcagtta ttcttccaca agagagggct 960 ttctcaggac ctggttgcta ctggttcggc aactgcagaa aatgtcctcc cttgtggctt 1020 cctcagctcc tgcccttggc ctgaagtccc agcattgatg acagcgcctc atcttcaact 1080 tttgtgctcc cctttgccta aaccgtatgg cctcccgtgc atctgtactc accctgtacg 1140 acaaacacat tacattatta aatgtttctc aaagatggag tt 1182 Sig:63-149; exon1/2:162/163; exon2/3:432/433; exon3/4:741/715; exon4/5:825/826; Exon5/6:849/850

Searching intron from Genbank Eg. key words (HLA-DRB1*01 intron) X H.sapiens HLA-DRB...[gi: ] LOCUS HSDRB101G 1332 bp DNA linear PRI 21-MAY-1996 DEFINITION H.sapiens HLA-DRB1*01 gene. ACCESSION X88793 VERSION X GI: KEYWORDS HLA class II DR-beta chain; HLA-DRB1*01 gene. SOURCE human. ORGANISM Homo sapiens Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Primates; Catarrhini; Hominidae; Homo. REFERENCE 1 (bases 1 to 1332) AUTHORS Svensson,A.C., Setterblad,N., Pihlgren,U., Rask,L. and Andersson,G. TITLE Evolutionary relationship between human major histocompatibility complex HLA-DR haplotypes JOURNAL Immunogenetics 43 (5), (1996) MEDLINE PUBMED REFERENCE 2 (bases 1 to 1332) AUTHORS Svensson,A.C. TITLE Direct Submission JOURNAL Submitted (19-JUN-1995) A.C. Svensson, Swedish University of Agric. Sciences, Dept of Cell Research, Genetic Center, Box 7055, Uppsala, SWEDEN FEATURES Location/Qualifiers source /organism="Homo sapiens" /db_xref="taxon:9606" /chromosome="6" /haplotype="DR1/1"

X H.sapiens HLA-DRB...[gi: ] (cotinued) FEATURES Location/Qualifiers source /organism="Homo sapiens" /db_xref="taxon:9606" /chromosome="6" /haplotype="DR1/1" intron < /number=4 gene /gene="HLA-DRB1*01" CDS 493 /gene="HLA-DRB1*01" /codon_start=1 /product="HLA class II DR-beta chain" /protein_id="CAA " /db_xref="GI: " /db_xref="SPTREMBL:Q29797" /translation="DTLDFSQQ" exon /gene="HLA-DRB1*01" /number=5 intron 494..>1332 /number=5 LTR /note="ERV9 LTR"

Searching promoter from Genbank Eg. key words (HLA-DRB1 promoter)

Biological databases: Case study: HLA-DRB1 molecule By now we have studied SWISS-PROT and Genbank entries. From these we can extract the specific information – colored red: 1.Gene sequence 2. Gene structure: Introns, exons, promoter region 3. Protein sequence 4. Protein Sequence features and domains 5. Protein Structure 6. Function 7.Variation – closest variants in humans and other species 8. Clinical features

Protein strucutre: Follow Swiss-prot link to PDB (Eg. PDBID 1DLH) Crystal structure of the human class II MHC protein HLA-DR1 complexed with an influenza virus peptide.

HLA-DRB1: Variation – closest variants in humans Keyword: HLA-DRB1 variant search against Genbank or swissprot 68 hits in Genbank on 04/01/ :43pm. 1 hit in Swiss-prot at the same time. The No. of matching list may vary because of database updating.

HLA-DRB1: Variation – closest variants in other species Try keywords Use sequence similarity search

HLA-DRB1 molecule: Clinical features This entry has no links to the OMIM database, we will resort to searching literature databases.

Summary Genebank Swiss-prot PDB Pubmed Others