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MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network)
The NIDDK Information Network (dkNET; https://dknet.org) is an open community resource portal for basic and clinical investigators in diabetes, digestive, endocrine, metabolic, kidney, and urologic diseases [1]. dkNET provides access to a collection of diverse research resources, including data, inf...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Endocrine Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551138/ http://dx.doi.org/10.1210/js.2019-MON-176 |
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author | Lin, Ko-Wei Bandrowski, Anita Gillespie, Tom Go, James Hagstrom, Stephanie Hsu, Chun-Nan Ozyurt, Ibrahim Grethe, Jeffrey Martone, Maryann |
author_facet | Lin, Ko-Wei Bandrowski, Anita Gillespie, Tom Go, James Hagstrom, Stephanie Hsu, Chun-Nan Ozyurt, Ibrahim Grethe, Jeffrey Martone, Maryann |
author_sort | Lin, Ko-Wei |
collection | PubMed |
description | The NIDDK Information Network (dkNET; https://dknet.org) is an open community resource portal for basic and clinical investigators in diabetes, digestive, endocrine, metabolic, kidney, and urologic diseases [1]. dkNET provides access to a collection of diverse research resources, including data, information, materials, organisms, tools, funding opportunities, literature, services, and events that advance the mission of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). dkNET also supports the use of unique identifiers for resources, the Research Resource Identifier (RRID)[2], and has developed services and tools to assist researchers in improving rigor and reproducibility. Incomplete identification of antibodies, and other reagents, contributes to the reproducibility crisis in biomedical research. The proper identification of research resource using RRIDs, while also providing detailed and updated reports about these resources can help improve reproducible research. To that end, we have developed Resource Reports, which are based on a unique integrated data set and analytics platform that combines RRIDs, text mining and data aggregation. The reports provide a detailed overview of each resource and associated citation metrics, provide rating or validation information, from resources such as the Human Protein Atlas, ENCODE, or resource centers and consortia, and provide alerts when there is problem with the resource. With this information and additional information, such as who else has used these resources, users can make informed decisions about the resources that they plan to use. For example, if one were looking for an anti-human phospho-akt(ser473) antibody, one would start with a search of “phospho-akt” AND ser473 within the Antibody Resource Report. From the 53 antibodies found (on 11/1/18), one may initially select 14 antibodies that had been cited with RRIDs in the Endocrinology journal. Usage and Citation Metrics provided information about the usage of antibodies (cited with RRIDs), so one may then compare the 5 most used antibodies. Additional information on rating and alerts is available for one of these antibodies - including information that it had been used by the NIDDK-funded Intestinal Stem Cell Consortium (ISCC) and that additional rating information is available. Further investigation of the collaborator network provides a list of researchers that used this antibody allowing one to inquire for additional validation information or to inquire about experience when using this antibody. References (1) Whetzel PL et al., PLoS One. 2015; 10(9):e0136206. (2) Bandrowski AE et al., Neuron. 2016; 90(3):434-6. Source of Support NIH NIDDK Grant U24DK097771 |
format | Online Article Text |
id | pubmed-6551138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Endocrine Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-65511382019-06-13 MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) Lin, Ko-Wei Bandrowski, Anita Gillespie, Tom Go, James Hagstrom, Stephanie Hsu, Chun-Nan Ozyurt, Ibrahim Grethe, Jeffrey Martone, Maryann J Endocr Soc Diabetes Mellitus and Glucose Metabolism The NIDDK Information Network (dkNET; https://dknet.org) is an open community resource portal for basic and clinical investigators in diabetes, digestive, endocrine, metabolic, kidney, and urologic diseases [1]. dkNET provides access to a collection of diverse research resources, including data, information, materials, organisms, tools, funding opportunities, literature, services, and events that advance the mission of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). dkNET also supports the use of unique identifiers for resources, the Research Resource Identifier (RRID)[2], and has developed services and tools to assist researchers in improving rigor and reproducibility. Incomplete identification of antibodies, and other reagents, contributes to the reproducibility crisis in biomedical research. The proper identification of research resource using RRIDs, while also providing detailed and updated reports about these resources can help improve reproducible research. To that end, we have developed Resource Reports, which are based on a unique integrated data set and analytics platform that combines RRIDs, text mining and data aggregation. The reports provide a detailed overview of each resource and associated citation metrics, provide rating or validation information, from resources such as the Human Protein Atlas, ENCODE, or resource centers and consortia, and provide alerts when there is problem with the resource. With this information and additional information, such as who else has used these resources, users can make informed decisions about the resources that they plan to use. For example, if one were looking for an anti-human phospho-akt(ser473) antibody, one would start with a search of “phospho-akt” AND ser473 within the Antibody Resource Report. From the 53 antibodies found (on 11/1/18), one may initially select 14 antibodies that had been cited with RRIDs in the Endocrinology journal. Usage and Citation Metrics provided information about the usage of antibodies (cited with RRIDs), so one may then compare the 5 most used antibodies. Additional information on rating and alerts is available for one of these antibodies - including information that it had been used by the NIDDK-funded Intestinal Stem Cell Consortium (ISCC) and that additional rating information is available. Further investigation of the collaborator network provides a list of researchers that used this antibody allowing one to inquire for additional validation information or to inquire about experience when using this antibody. References (1) Whetzel PL et al., PLoS One. 2015; 10(9):e0136206. (2) Bandrowski AE et al., Neuron. 2016; 90(3):434-6. Source of Support NIH NIDDK Grant U24DK097771 Endocrine Society 2019-04-30 /pmc/articles/PMC6551138/ http://dx.doi.org/10.1210/js.2019-MON-176 Text en Copyright © 2019 Endocrine Society https://creativecommons.org/licenses/by-nc-nd/4.0/ This article has been published under the terms of the Creative Commons Attribution Non-Commercial, No-Derivatives License (CC BY-NC-ND; https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Diabetes Mellitus and Glucose Metabolism Lin, Ko-Wei Bandrowski, Anita Gillespie, Tom Go, James Hagstrom, Stephanie Hsu, Chun-Nan Ozyurt, Ibrahim Grethe, Jeffrey Martone, Maryann MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) |
title | MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) |
title_full | MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) |
title_fullStr | MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) |
title_full_unstemmed | MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) |
title_short | MON-176 Making Informed Decisions on the Selection of Antibodies Using dkNET (NIDDK Information Network) |
title_sort | mon-176 making informed decisions on the selection of antibodies using dknet (niddk information network) |
topic | Diabetes Mellitus and Glucose Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551138/ http://dx.doi.org/10.1210/js.2019-MON-176 |
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