ArticleMethods in enzymology2018
Analysis of Bacterial Transcription by "Massively Systematic Transcript End Readout," MASTER.
Article in Methods in enzymology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Deciphering regulatory architectures of bacterial promoters from synthetic expression patterns.PLoS computational biology · 2024Article
- Deciphering regulatory architectures from synthetic single-cell expression patterns.bioRxiv : the preprint server for biology · 2024Article
- Article
- Quantitative analysis of transcription start site selection reveals control by DNA sequence, RNA polymerase II activity and NTP levels.Nature structural & molecular biology · 2024Article
- XACT-seq: A photocrosslinking-based technique for detection of the RNA polymerase active-center position relative to DNA inSTAR protocols · 2021Article
- Promoter-sequence determinants and structural basis of primer-dependent transcription initiation inProceedings of the National Academy of Sciences of the United States of America · 2021Article
- XACT-Seq Comprehensively Defines the Promoter-Position and Promoter-Sequence Determinants for Initial-Transcription Pausing.Molecular cell · 2020Article
- CapZyme-Seq: A 5'-RNA-Seq Method for Differential Detection and Quantitation of NAD-Capped and Uncapped 5'-Triphosphate RNA.STAR protocols · 2020Article
- Functional assays for transcription mechanisms in high-throughput.Methods (San Diego, Calif.) · 2019Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
A systems-level view of cellular gene expression requires understanding the mechanistic principles governing each step of transcription. In this chapter, we describe a massively multiplexed method for the analysis of the relationship between nucleic acid sequence and transcription termed "MASTER," for massively systematic transcript end readout. MASTER enables parallel measurements of transcription output from at least 4
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Registered trials
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