Evidence map›Paper›PMID 23203095›Full record

ArticleInternational journal of molecular sciences2012

The Murine PSE/TATA-dependent transcriptome: evidence of functional homologies with its human counterpart.

Maria Jessica Bruzzone, Paola Gavazzo, Sara Massone, Carolina Balbi, Federico Villa, Anastasia Conti, Giorgio Dieci, Ranieri Cancedda, Aldo Pagano

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Maria Jessica BruzzoneDepartment of Experimental Medicine (DIMES), University of Genoa, 16132 Genoa, Italy. aldo.pagano@unige.it.
Paola Gavazzo
Sara Massone
Carolina Balbi
Federico Villa
Anastasia Conti
Giorgio Dieci
Ranieri Cancedda
Aldo Pagano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A series of recent studies demonstrated an unexpectedly high frequency of intronic RNA polymerase (pol) III transcription units spread throughout the human genome. The investigation of a subset of these transcripts revealed their tissue/cell-specific transcription together with the involvement in relevant physiopathological pathways. Despite this evidence, these transcripts did not seem to have murine orthologs, based on their nucleotide sequence, resulting in a limitation of the experimental approaches aimed to study their function. In this work, we have extended our investigation to the murine genome identifying 121 pairs of mouse/human transcripts displaying syntenic subchromosomal localization. The analysis in silico of this set of putative noncoding (nc)RNAs suggest their association with alternative splicing as suggested by recent experimental evidence. The investigation of one of these pairs taken as experimental model in mouse hippocampal neurons provided evidence of a human/mouse functional homology that does not depend on underlying sequence conservation. In this light, the collection of transcriptional units here reported can be considered as a novel source for the identification and the study of novel regulatory elements involved in relevant biological processes.

Indexed as

Gene Expression RegulationRegulatory Sequences, Nucleic AcidTATA BoxTranscriptomeAlternative SplicingAnimalsBase SequenceBrainChromosome MappingConserved SequenceGene Expression ProfilingGenomeHumansIntronsKv Channel-Interacting ProteinsMiceKcnip4 protein, mouseKv Channel-Interacting ProteinsPotassium ChannelsRNA Polymerase III

Identifiers

PMID23203095
PMCPMC3509611

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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.