Evidence map›Paper›PMID 34440822›Full record

ArticleCells2021

Transcriptional Landscape and Splicing Efficiency in

Laura E Garcia, M Virginia Sanchez-Puerta

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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.

Laura E GarciaIBAM, Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Conicet, Almirante Brown 500, Chacras de Coria, Mendoza M5528AHB, Argentina.ORCID 0000-0002-9324-6872
M Virginia Sanchez-PuertaIBAM, Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Conicet, Almirante Brown 500, Chacras de Coria, Mendoza M5528AHB, Argentina.ORCID 0000-0003-2511-5093
Universidad Nacional de Cuyo · AR

Funding

Secretaría de Investigación, Internacionales y Posgrado, UNCuyo M075
6 · The paper itself

Abstract

Plant mitochondrial transcription is initiated from multiple promoters without an apparent motif, which precludes their identification in other species based on sequence comparisons. Even though coding regions take up only a small fraction of plant mitochondrial genomes, deep RNAseq studies uncovered that these genomes are fully or nearly fully transcribed with significantly different RNA read depth across the genome. Transcriptomic analysis can be a powerful tool to understand the transcription process in diverse angiosperms, including the identification of potential promoters and co-transcribed genes or to study the efficiency of intron splicing. In this work, we analyzed the transcriptional landscape of the

Indexed as

RNA SplicingTranscription, GeneticArabidopsisArabidopsis ProteinsDNA, MitochondrialGenes, PlantGenome, MitochondrialIntronsMitochondriaPromoter Regions, GeneticRNA, PlantSequence Analysis, RNAArabidopsis ProteinsDNA, MitochondrialRNA, Plantco-transcriptionmitochondrial genomespromoterRNAseqsplicing efficiency

Identifiers

PMID34440822
PMCPMC8392254
OpenAlexW3188663982

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.