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Evolution of dental
informatics as a major
research tool in
oral pathology.
Jr. of oral & maxillofacial pathology
Vol 16 i...
Biology
Computer
science
Bioinformatics
DEALS WITH
Collecting Data
Storing Data
Retrieving Data
Biomedical informatics,
incorporates the knowledge of
Health
science
Biostatistics
Computer
science
Engineering
Management...
History
 In 1970 Paulien Hogeweg coined the term
“BIOINFORMATICS”.
 While Margaret O. Dayhoff is said to be
the “Mother ...
GOALS
 The primary goal is to increase the
understanding of biological processes.
 Application of computational intensiv...
Major research in this field are
Gene
finding
Genome
assembly
Protein str.
alignment
Protein str.
prediction
Protein-
prot...
Bio-informatics must support and
improve the diagnosis, treatment and
prevention of disease and traumatic
injury, relive p...
Evolution of Dental Informatics
 The national library of medicine MEDLINE
is the world’s largest biomedical literature
da...
Applications of dental informatics
in oral pathology
 Early detection of oral cancer.
 Genomics in oral pathology.
 Pro...
Early detection of oral cancer
 Oral cancer is one of the most common
cause of cancer related death world wide.
 Early d...
 Evolution of CDx system has contributed
to negating this drawback.
 It’s a USA based company, of automatic
pathology la...
Oral CDx brush biopsy kit
Oral CDx Brush
 With this method optimizing human
and computer capabilities it becomes
possible to identify cellular
abnormalities that ...
Genomics in oral pathology
 It is derived from German word
“Genom”.
 The term “Genomics” was coined by
Dr. Tom Rodericks...
 Genomics is the study of functions
and interaction of all the genes in the
genome, including their interaction
with envi...
 The first free-living organism to be
sequenced was that of ''Haemophilus
influenzae'' in 1995, and since then
genomes ar...
Genomics
Gene
Host
interaction
Environment
Proteomics in oral pathology
 Proteomics is the large scale study of
proteins, particularly their structure and
functions...
Marc R. Wilkins is an Australian
scientist who is credited with the
concept of the proteome, and is a
Professor in the Sch...
 The National Institute of Dental &
Craniofacial Research (NIDCR) in the
US has undertaken a project to
catalog all the p...
Microarrays
 Microarrays analysis is a new technology
in which all of the genes of an organism
are represented by oligonu...
Types are:
1. DNA microarray
2. Protein microarray
3. Peptide microarray
4. Tissue microarray
5. Cellular microarray
6. Ch...
Applications in oral pathology
 It may be able to identify those
genetic alterations that are more
likely to determine th...
Applications in other fields
 It is used commonly for detection of
viruses and other pathogens from blood
sample.
 Can i...
Conclusion
 Theoretical disciplines like Bioinformatics
will aid us greatly in understanding.
 Genomics & Proteomics tog...
 Current state of the art in both
genomics-proteomics and the
bioinformatics suggests that a proper
combination of experi...
Thank you
Evolution of dental informatics as a major research
Evolution of dental informatics as a major research
Evolution of dental informatics as a major research
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Evolution of dental informatics as a major research

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Evolution of dental informatics as a major research

  1. 1. Evolution of dental informatics as a major research tool in oral pathology. Jr. of oral & maxillofacial pathology Vol 16 issue 1 jan-apr 2012. Dr. Gaurav S.Salunkhe PG- Oral Pthology
  2. 2. Biology Computer science Bioinformatics
  3. 3. DEALS WITH Collecting Data Storing Data Retrieving Data
  4. 4. Biomedical informatics, incorporates the knowledge of Health science Biostatistics Computer science Engineering Management science Information technology
  5. 5. History  In 1970 Paulien Hogeweg coined the term “BIOINFORMATICS”.  While Margaret O. Dayhoff is said to be the “Mother and Father of bio - informatics”.
  6. 6. GOALS  The primary goal is to increase the understanding of biological processes.  Application of computational intensive techniques.  The main goal of the dental informatics is to improve patient out come.
  7. 7. Major research in this field are Gene finding Genome assembly Protein str. alignment Protein str. prediction Protein- protein interaction Drug design Drug discovery
  8. 8. Bio-informatics must support and improve the diagnosis, treatment and prevention of disease and traumatic injury, relive pain and pressure and improve oral heath.
  9. 9. Evolution of Dental Informatics  The national library of medicine MEDLINE is the world’s largest biomedical literature data base and stores data from all health care disciplines.  Similarly Gen Bank, a data base of gene and protein sequence information, to which researchers from several domains contribute.
  10. 10. Applications of dental informatics in oral pathology  Early detection of oral cancer.  Genomics in oral pathology.  Proteomics in oral pathology.  Microarrays.
  11. 11. Early detection of oral cancer  Oral cancer is one of the most common cause of cancer related death world wide.  Early detection will improve cure rates and patients quality of life.  Unfortunately, more than 50% of patients with oral cancer display evidence of spread to regional lymph node and metastases at the time of diagnosis.
  12. 12.  Evolution of CDx system has contributed to negating this drawback.  It’s a USA based company, of automatic pathology laboratory. 
  13. 13. Oral CDx brush biopsy kit
  14. 14. Oral CDx Brush
  15. 15.  With this method optimizing human and computer capabilities it becomes possible to identify cellular abnormalities that might otherwise have been missed with manual microscopic screening.
  16. 16. Genomics in oral pathology  It is derived from German word “Genom”.  The term “Genomics” was coined by Dr. Tom Rodericks, a geneticist at the Jackson Laboratory at a meeting held in Maryland on the mapping of the human genome in 1986.  Genome is all the DNA contained in an organism.
  17. 17.  Genomics is the study of functions and interaction of all the genes in the genome, including their interaction with environmental factors.
  18. 18.  The first free-living organism to be sequenced was that of ''Haemophilus influenzae'' in 1995, and since then genomes are being sequenced at a rapid pace.  As of September 2007, the complete sequence was known of about 1879 viruses , 577 bacterial species and roughly 23 eukaryote organisms, of which about half are fungi.
  19. 19. Genomics Gene Host interaction Environment
  20. 20. Proteomics in oral pathology  Proteomics is the large scale study of proteins, particularly their structure and functions.  The term proteomic was coined in the year 1997.  The word proteome is a blend of PROTEin and genOME.  PROTEOME was coined in 1994 by Marc Wilkins.
  21. 21. Marc R. Wilkins is an Australian scientist who is credited with the concept of the proteome, and is a Professor in the School of Biotechnology and Bio molecular Sciences at the University of New South Wales, Sydney, Australia
  22. 22.  The National Institute of Dental & Craniofacial Research (NIDCR) in the US has undertaken a project to catalog all the proteins contained in human oral fluids.
  23. 23. Microarrays  Microarrays analysis is a new technology in which all of the genes of an organism are represented by oligonucleotide sequences spread out in an 80x80 array microscopic slide.  It is a multiplex “lab on a chip.”  It is usually a glass slide or silicon thin film.
  24. 24. Types are: 1. DNA microarray 2. Protein microarray 3. Peptide microarray 4. Tissue microarray 5. Cellular microarray 6. Chemical compound microarray 7. Antibody microarray 8. Carbohydrate microarray 9. Phenotype microarray
  25. 25. Applications in oral pathology  It may be able to identify those genetic alterations that are more likely to determine the progression of a premalignant lesion to frank malignancy.
  26. 26. Applications in other fields  It is used commonly for detection of viruses and other pathogens from blood sample.  Can identify inheritable markers and have been used as a genotyping tool.
  27. 27. Conclusion  Theoretical disciplines like Bioinformatics will aid us greatly in understanding.  Genomics & Proteomics together will play a vital role in providing better understanding of disease processes at molecular level, their potential to identify risk factor and therapeutic target at molecular level is established.
  28. 28.  Current state of the art in both genomics-proteomics and the bioinformatics suggests that a proper combination of experimental and theoretical results, obtained with different methods will soon becomes the gold standard for the study of oral diseases.
  29. 29. Thank you

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