Evidence map›Paper›PMID 42911485›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Profiling Nascent RNA Transcription with TT-Seq.

Yichun Wang, Liangqi Sun, Wenbo Li

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Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yichun WangDepartment of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID http://orcid.org/0009-0006-0975-9963
Liangqi SunDepartment of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0001-6678-5929
Wenbo LiDepartment of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA. Wenbo.Li@uth.tmc.edu.ORCID http://orcid.org/0000-0002-9042-5664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nascent RNA production is a dynamic activity in eukaryotic cells that faithfully reflects the transcriptional activities of a cell population at a specific time point. To capture and quantify dynamic transcriptional activity at high temporal resolution, several methods have been developed, including global or precision run-on sequencing (GRO/PRO-seq) and transient transcriptome sequencing (TT-seq). TT-seq uses in-cell metabolic labeling of RNAs with 4-thiouridine (4sU) to specifically enrich newly synthesized, nascent RNAs. This strategy enables real-time measurement of transcriptional dynamics, including initiation, elongation, and termination, across the entire genome. It also enables the sensitive detection of various noncoding, nascent RNAs produced from regulatory elements, such as promoters and enhancers. By combining short pulse labeling with high-throughput sequencing, TT-seq can provide insights into RNA synthesis/decay rates, enhancer activity, and the kinetics of transcriptional regulation in response to various stimuli. The method has become a valuable tool for studying transcriptional control and gene regulation. Here, we describe the entire TT-seq workflow. Our protocol was based on the original TT-seq protocol, but we made several changes that streamlined the workflow.

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingRNASequence Analysis, RNATranscription, GeneticTranscriptomeAnimalsHumansThiouridineRNAThiouridine4-Thiouridine (4sU)Enhancer RNA (eRNA)Nascent RNATransient transcriptome sequencing (TT-seq)

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.