Work

Quantitative, solution-phase profiling of multiple transcription factors in parallel

Year: 2013

Type: article

Source: Analytical and Bioanalytical Chemistry

DOI: 10.1007/s00216-013-6712-9

Authors: Betul Bilgin, Li Liu, Christina Chan, S. Patrick Walton

Institution: Michigan State University

Language: English

Topic: Advanced Biosensing Techniques and Applications

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Research Resources, Division of Chemical, Bioengineering, Environmental, and Transport Systems

Awards: G172311494, Engineering an in vitro model of adipose tissue formation and metabolism, Development of a parallel, array-based transcription factor expression assay, Phenotype-Targeted Inference of Flux-Enzyme Correlations in Adipocyte Metabolism, Develop a Dynamic Model that Incoporates Text-mining to Reconstruct Networks, G6908140774, G7615941542, G79308190, G7934200494, Maximizing siRNA Function through Mechanism-based Sequence and Vehicle Design

OpenAlex ID: W2052541844

FWCI: 1.194

Cites: 34

Cited by: 10

Related to: 10