Skip to main content

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 23))

Abstract

Methods to determine the sequence of DNA were developed in the late 1970s (1,2) and have revolutionized the science of molecular genetics. The DNA sequences of many different genes from diverse sources have been determined, and the information is stored in international databanks such as EMBL, GenBank, and DDBJ. Many scientists now accept that sequence analysis will provide an increasingly useful approach to the characterization of biological systems. Projects are already underway to map and sequence the entire genome of organisms such as Escherichia coli, Saccharomyces cerevisiae, Caenorhabditis elegans, and Homo sapiens. In the recent past, large-scale sequencing projects such as these were often dismissed as prohibitively expensive and of little short-term benefit, while DNA sequencing itself was seen as a repetitive and unintellectual pursuit. However, this view is now changing and most scientists recognize the importance of DNA sequence data and perceive DNA sequencing as a valuable and often indispensable aspect of their work. Recent technological advances, especially in the area of automated sequencing, have removed much of the drudgery that used to be associated with the technique, and modern innovative computer software has greatly simplified the analysis and manipulation of sequence data. Large-scale sequencing projects, such as the Human Genome Project, produce the DNA sequences of many unknown genes. Such data provide an impetus for molecular biologists to apply the techniques of reverse genetics to produce probes and antibodies that can be used to identify the gene product, its cellular location, and its time of appearance in the developing cell (3). A function can be assigned by mutant analysis or by comparison of the deduced amino acid sequence with proteins of known function. Therefore, DNA sequencing can act as a catalyst to stimulate future research into many diverse areas of science.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sanger, F., Nicklen, S., and Coulson, A. R. (1977) DNA sequencing wrth chaintermmator inhibitors. Proc. Natl. Acad. Sci USA 74, 5463–5467.

    Article  PubMed  CAS  Google Scholar 

  2. Maxam, A. M and Gilbert, W (1977) A new method for sequencing DNA Proc. Natl. Acad. Scl USA 74, 560–564.

    Article  CAS  Google Scholar 

  3. Barrell, B. (1991) DNA sequencmg: present limitations and prospects for the future. FASEB J 5, 40–45

    PubMed  CAS  Google Scholar 

  4. Sambrook, J., Fritsch, E F., and Maniatrs, T. (1989) Molecular Cloning. A Laboratory Manual 2d ed, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY.

    Google Scholar 

  5. Maxam, A. M. and Gilbert, W. (1980) Sequencing end-labeled DNA with basespecific chemical cleavages. Meth. Enzym. 65, 499–560.

    Article  PubMed  CAS  Google Scholar 

  6. Ambrose, B J. B. and Pless, R. C. (1987) DNA sequencing. Chemical methods. Meth. Enzymol. 152, 522–538.

    Article  PubMed  CAS  Google Scholar 

  7. Volckaert, G. (1987) A systematic approach to chemical DNA sequencing by subcloning in pGV451 and derrved vectors. Meth Enzym. 155, 231–250

    Article  PubMed  CAS  Google Scholar 

  8. Eckert, R. L. (1987) New vectors for rapid sequencing of DNA fragments by chemical degradation. Gene 51, 247–254.

    Article  PubMed  CAS  Google Scholar 

  9. Dolz, R. (1993) Fragment assembly programs, in DNA sequencmg: Computer Analysis of Sequence Data, (Griffin, A. M. and Grrffm, H. G., eds.), Humana Press, Totowa, NJ. (Ch. 2).

    Google Scholar 

  10. Staden, R. (1992) Managing sequencing projects, in DNA sequencing. Computer Analysis of Sequence Data, (Griffin, A. M. and Griffin, H. G., eds.), Humana Press, Totowa, NJ. (Ch 17).

    Google Scholar 

  11. Hunkapiller, T, Karser, R J., Kopp, B F, and Hood, L. (1991) Large-scale and automated DNA sequence determination. Science 254, 59–67

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Humana Press Inc. Totowa, New Jersey

About this protocol

Cite this protocol

Griffin, H.G., Griffin, A.M. (1993). DNA Sequencing. In: Griffin, H.G., Griffin, A.M. (eds) DNA Sequencing Protocols. Methods in Molecular Biology™, vol 23. Humana Press. https://doi.org/10.1385/0-89603-248-5:1

Download citation

  • DOI: https://doi.org/10.1385/0-89603-248-5:1

  • Publisher Name: Humana Press

  • Print ISBN: 978-0-89603-248-4

  • Online ISBN: 978-1-59259-510-5

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics