A toolbox of immunoprecipitation-grade monoclonal antibodies to human transcription factors.
A toolbox of immunoprecipitation-grade monoclonal antibodies to human transcription factors.
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免疫沉淀级单克隆抗体的工具箱。
DOI:
10.1038/nmeth.4632
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发表时间:
2018-05
期刊:
影响因子:
48
通讯作者:
Blackshaw S
中科院分区:
文献类型:
--
作者:
Venkataraman A;Yang K;Irizarry J;Mackiewicz M;Mita P;Kuang Z;Xue L;Ghosh D;Liu S;Ramos P;Hu S;Bayron Kain D;Keegan S;Saul R;Colantonio S;Zhang H;Behn FP;Song G;Albino E;Asencio L;Ramos L;Lugo L;Morell G;Rivera J;Ruiz K;Almodovar R;Nazario L;Murphy K;Vargas I;Rivera-Pacheco ZA;Rosa C;Vargas M;McDade J;Clark BS;Yoo S;Khambadkone SG;de Melo J;Stevanovic M;Jiang L;Li Y;Yap WY;Jones B;Tandon A;Campbell E;Montelione GT;Anderson S;Myers RM;Boeke JD;Fenyö D;Whiteley G;Bader JS;Pino I;Eichinger DJ;Zhu H;Blackshaw S
A key component of efforts to address the reproducibility crisis in biomedical research is the development of rigorously validated and renewable protein-affinity reagents. As part of the US National Institutes of Health (NIH) Protein Capture Reagents Program (PCRP), we have generated a collection of 1,406 highly validated immunoprecipitation- and/or immunoblotting-grade mouse monoclonal antibodies (mAbs) to 737 human transcription factors, using an integrated production and validation pipeline. We used HuProt human protein microarrays as a primary validation tool to identify mAbs with high specificity for their cognate targets. We further validated PCRP mAbs by means of multiple experimental applications, including immunoprecipitation, immunoblotting, chromatin immunoprecipitation followed by sequencing (ChIP-seq), and immunohistochemistry. We also conducted a meta-analysis that identified critical variables that contribute to the generation of high-quality mAbs. All validation data, protocols, and links to PCRP mAb suppliers are available at http://proteincapture.org.
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影响因子:
5.3
作者:
Roncador G;Engel P;Maestre L;Anderson AP;Cordell JL;Cragg MS;Šerbec VČ;Jones M;Lisnic VJ;Kremer L;Li D;Koch-Nolte F;Pascual N;Rodríguez-Barbosa JI;Torensma R;Turley H;Pulford K;Banham AH
通讯作者:
Banham AH
DOI:
10.1073/pnas.1107488109
发表时间:
2012-03-20
影响因子:
11.1
作者:
de Melo, Jimmy;Miki, Katsuaki;Blackshaw, Seth
通讯作者:
Blackshaw, Seth
影响因子:
5.3
作者:
Rhodes, Kenneth J.;Trimmer, James S.
通讯作者:
Trimmer, James S.
影响因子:
2.9
作者:
Abdiche, Yasmina;Malashock, Dan;Pons, Jaurne
通讯作者:
Pons, Jaurne
影响因子:
7.7
作者:
Hu S;Wan J;Su Y;Song Q;Zeng Y;Nguyen HN;Shin J;Cox E;Rho HS;Woodard C;Xia S;Liu S;Lyu H;Ming GL;Wade H;Song H;Qian J;Zhu H
通讯作者:
Zhu H