Evidence map›Paper›PMID 33085989›Full record

ArticleCurrent protocols in molecular biology2020

Preparation of Mammalian Nascent RNA for Long Read Sequencing.

Kirsten A Reimer, Karla M Neugebauer

Open access · greenAbstract read
In one paragraph

Article in Current protocols in molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Long-read Sequencing of Nascent RNA from Budding and Fission Yeasts.bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  9. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
  10. Article
  11. Review
  12. Article
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

2 authors at 1 institution in 1 country.

Kirsten A ReimerDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut.
Karla M NeugebauerDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut.
Yale University · US

Funding

Cross-regulation between transcription and pre-mRNA splicingR01GM112766 · NIGMS · YALE UNIVERSITY · PI Karla M Neugebauer · 2015 to 2026
$5.3M
Analysis of transcription and splicing coordination during erythropoeisis using single molecule RNA-seqR21HL150642 · NHLBI · YALE UNIVERSITY · PI NEUGEBAUER, KARLA M, PILLAI, MANOJ M. · 2020 to 2021
$459k
Pacific Bioscience Sequel II sequencing system for the Yale Center for Genome Analysis (YCGA)S10OD028669 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2020 to 2020
$407k
NHLBI NIH HHS R21 HL150642NIGMS NIH HHS R01 GM112766NIH HHS S10 OD028669
6 · The paper itself

Abstract

Long read sequencing technologies now allow high-quality sequencing of RNAs (or their cDNAs) that are hundreds to thousands of nucleotides long. Long read sequences of nascent RNA provide single-nucleotide-resolution information about co-transcriptional RNA processing events-e.g., splicing, folding, and base modifications. Here, we describe how to isolate nascent RNA from mammalian cells through subcellular fractionation of chromatin-associated RNA, as well as how to deplete poly(A)

Indexed as

Sequence Analysis, RNAAnimalsCell LineChromatinGene LibraryHigh-Throughput Nucleotide SequencingHumansMammalsRNARNA SplicingChromatinRNAchromatinfractionationlong read sequencingnascent RNA

Identifiers

PMID33085989
PMCPMC7586757
OpenAlexW3094510447

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.