Computational Analysis and Experimental Validation of Gene Predictions in Toxoplasma gondii
2008

Exploring the Proteome of Toxoplasma gondii

Sample size: 252 publication Evidence: high

Author Information

Author(s): Dybas Joseph M., Madrid-Aliste Carlos J., Che Fa-Yun, Nieves Edward, Rykunov Dmitry, Angeletti Ruth Hogue, Weiss Louis M., Kim Kami, Fiser Andras

Primary Institution: Albert Einstein College of Medicine

Hypothesis

A systems-level analysis of the T. gondii proteome, using an approach that integrates proteomics and bioinformatics, will identify novel proteins that represent unique chemotherapeutic targets or have important biological functions during the obligate intracellular development of the parasite.

Conclusion

This study provides the largest proteomics exploration of the T. gondii proteome and illustrates how high throughput proteomics experiments can elucidate correct gene structures in genomes.

Supporting Evidence

  • The study validated 2,477 gene coding regions with 6,438 possible alternative gene predictions.
  • 609 proteins were identified that are unique to Toxoplasma compared to any known species.
  • False negative rates of gene prediction methods ranged from 31 to 43%.
  • Approximately 67% of the hypothetical T. gondii proteome has a homologous sequence in the NCBI NR database.

Takeaway

Scientists studied a tiny parasite called Toxoplasma gondii to find out more about its proteins, which can help in developing new medicines.

Methodology

High throughput proteomics experiments and mass spectrometry analysis were used to explore the T. gondii proteome.

Limitations

The study may not cover the entire T. gondii proteome and has a false negative rate of 31 to 43% for gene prediction methods.

Digital Object Identifier (DOI)

10.1371/journal.pone.0003899

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication