Evidence map›Paper›PMID 37055518›Full record

ArticleCommunications biology2023

NADcapPro and circNC: methods for accurate profiling of NAD and non-canonical RNA caps in eukaryotes.

Sunny Sharma, Jun Yang, John Favate, Premal Shah, Megerditch Kiledjian

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Sunny SharmaDepartment of Cell Biology and Neurosciences, Rutgers University, Piscataway, NJ, USA. ssharma@dls.rutgers.edu.
Jun YangDepartment of Cell Biology and Neurosciences, Rutgers University, Piscataway, NJ, USA.
John FavateDepartment of Genetics, Rutgers University, Piscataway, NJ, USA.ORCID 0000-0001-6344-4854
Premal ShahDepartment of Genetics, Rutgers University, Piscataway, NJ, USA.ORCID 0000-0002-8424-4218
Megerditch KiledjianDepartment of Cell Biology and Neurosciences, Rutgers University, Piscataway, NJ, USA. kiledjian@biology.rutgers.edu.ORCID 0000-0001-8099-0451
Rutgers, The State University of New Jersey · US

Funding

Eukaryotic RNA NAD+ capping and deNADingR01GM126488 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI KILEDJIAN, MEGERDITCH · 2018 to 2023
$2.4M
Dynamics and evolution of translational regulationR35GM124976 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI SHAH, PREMAL R · 2017 to 2021
$1.9M
NIGMS NIH HHS R01 GM126488NIGMS NIH HHS R35 GM124976
6 · The paper itself

Abstract

Accurate identification of NAD-capped RNAs is essential for delineating their generation and biological function. Previous transcriptome-wide methods used to classify NAD-capped RNAs in eukaryotes contain inherent limitations that have hindered the accurate identification of NAD caps from eukaryotic RNAs. In this study, we introduce two orthogonal methods to identify NAD-capped RNAs more precisely. The first, NADcapPro, uses copper-free click chemistry and the second is an intramolecular ligation-based RNA circularization, circNC. Together, these methods resolve the limitations of previous methods and allowed us to discover unforeseen features of NAD-capped RNAs in budding yeast. Contrary to previous reports, we find that 1) cellular NAD-RNAs can be full-length and polyadenylated transcripts, 2) transcription start sites for NAD-capped and canonical m

Indexed as

NADRNA CapsEukaryotaRibosomesTranscriptomeNADRNA Caps

Identifiers

PMID37055518
PMCPMC10101982
OpenAlexW4365446460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.