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Classification of the Universe of Immune Epitope Literature: Representation and Knowledge Gaps
BACKGROUND: A significant fraction of the more than 18 million scientific articles currently indexed in the PubMed database are related to immune responses to various agents, including infectious microbes, autoantigens, allergens, transplants, cancer antigens and others. The Immune Epitope Database...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2747625/ https://www.ncbi.nlm.nih.gov/pubmed/19774228 http://dx.doi.org/10.1371/journal.pone.0006948 |
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author | Davies, Vince Vaughan, Kerrie Damle, Rohini Peters, Bjoern Sette, Alessandro |
author_facet | Davies, Vince Vaughan, Kerrie Damle, Rohini Peters, Bjoern Sette, Alessandro |
author_sort | Davies, Vince |
collection | PubMed |
description | BACKGROUND: A significant fraction of the more than 18 million scientific articles currently indexed in the PubMed database are related to immune responses to various agents, including infectious microbes, autoantigens, allergens, transplants, cancer antigens and others. The Immune Epitope Database (IEDB) is an online repository that catalogs immune epitope reactivity data derived from articles listed in the National Library of Medicine PubMed database. The IEDB is maintained and continually updated by monitoring PubMed for new, potentially relevant references. METHODOLOGY: Herein we detail the classification of all epitope-specific literature in over 100 different immunological domains representing Infectious Diseases and Microbes, Autoimmunity, Allergy, Transplantation and Cancer. The relative number of references in each category reflects past and present areas of research on immune reactivities. In addition to describing the overall landscape of data distribution, this particular characterization of the epitope reference data also allows for the exploration of possible correlations with global disease morbidity and mortality data. CONCLUSIONS/SIGNIFICANCE: While in most cases diseases associated with high morbidity and mortality rates were amongst the most studied, a number of high impact diseases such as dengue, Schistosoma, HSV-2, B. pertussis and Chlamydia trachoma, were found to have very little coverage. The data analyzed in this fashion represents the first estimate of how reported immunological data corresponds to disease-related morbidity and mortality, and confirms significant discrepancies in the overall research foci versus disease burden, thus identifying important gaps to be pursued by future research. These findings may also provide a justification for redirecting a portion of research funds into some of the underfunded, critical disease areas. |
format | Text |
id | pubmed-2747625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27476252009-09-22 Classification of the Universe of Immune Epitope Literature: Representation and Knowledge Gaps Davies, Vince Vaughan, Kerrie Damle, Rohini Peters, Bjoern Sette, Alessandro PLoS One Research Article BACKGROUND: A significant fraction of the more than 18 million scientific articles currently indexed in the PubMed database are related to immune responses to various agents, including infectious microbes, autoantigens, allergens, transplants, cancer antigens and others. The Immune Epitope Database (IEDB) is an online repository that catalogs immune epitope reactivity data derived from articles listed in the National Library of Medicine PubMed database. The IEDB is maintained and continually updated by monitoring PubMed for new, potentially relevant references. METHODOLOGY: Herein we detail the classification of all epitope-specific literature in over 100 different immunological domains representing Infectious Diseases and Microbes, Autoimmunity, Allergy, Transplantation and Cancer. The relative number of references in each category reflects past and present areas of research on immune reactivities. In addition to describing the overall landscape of data distribution, this particular characterization of the epitope reference data also allows for the exploration of possible correlations with global disease morbidity and mortality data. CONCLUSIONS/SIGNIFICANCE: While in most cases diseases associated with high morbidity and mortality rates were amongst the most studied, a number of high impact diseases such as dengue, Schistosoma, HSV-2, B. pertussis and Chlamydia trachoma, were found to have very little coverage. The data analyzed in this fashion represents the first estimate of how reported immunological data corresponds to disease-related morbidity and mortality, and confirms significant discrepancies in the overall research foci versus disease burden, thus identifying important gaps to be pursued by future research. These findings may also provide a justification for redirecting a portion of research funds into some of the underfunded, critical disease areas. Public Library of Science 2009-09-14 /pmc/articles/PMC2747625/ /pubmed/19774228 http://dx.doi.org/10.1371/journal.pone.0006948 Text en Davies et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Davies, Vince Vaughan, Kerrie Damle, Rohini Peters, Bjoern Sette, Alessandro Classification of the Universe of Immune Epitope Literature: Representation and Knowledge Gaps |
title | Classification of the Universe of Immune Epitope Literature:
Representation and Knowledge Gaps |
title_full | Classification of the Universe of Immune Epitope Literature:
Representation and Knowledge Gaps |
title_fullStr | Classification of the Universe of Immune Epitope Literature:
Representation and Knowledge Gaps |
title_full_unstemmed | Classification of the Universe of Immune Epitope Literature:
Representation and Knowledge Gaps |
title_short | Classification of the Universe of Immune Epitope Literature:
Representation and Knowledge Gaps |
title_sort | classification of the universe of immune epitope literature:
representation and knowledge gaps |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2747625/ https://www.ncbi.nlm.nih.gov/pubmed/19774228 http://dx.doi.org/10.1371/journal.pone.0006948 |
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