Evidence map›Paper›PMID 24573881›Full record

ArticleDatabase : the journal of biological databases and curation2014

AnaLysis of Expression on human chromosome 21, ALE-HSA21: a pilot integrated web resource.

Margherita Scarpato, Roberta Esposito, Daniela Evangelista, Marianna Aprile, Maria Rosaria Ambrosio, Claudia Angelini, Alfredo Ciccodicola, Valerio Costa

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Consequences of aneuploidy in human fibroblasts with trisomy 21.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

8 authors at 4 institutions in 1 country.

Margherita ScarpatoInstitute of Genetics and Biophysics 'Adriano Buzzati-Traverso', National Research Council, Naples, Italy, Department of Pharmaceutical Sciences, University of Salerno, National Research Council, Fisciano, Salerno, Italy, Istituto per le Applicazioni del Calcolo 'Mauro Picone', National Research Council, Naples, Italy and Department of Biochemistry and Biophysics, Second University of Naples (SUN), Naples, Italy.
Roberta Esposito
Daniela Evangelista
Marianna Aprile
Maria Rosaria Ambrosio
Claudia Angelini
Alfredo Ciccodicola
Valerio Costa
National Research Council · ITInstitute of Genetics and Biophysics · ITIstituto per le Applicazioni del Calcolo Mauro Picone · ITUniversity of Salerno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome studies have shown the pervasive nature of transcription, demonstrating almost all the genes undergo alternative splicing. Accurately annotating all transcripts of a gene is crucial. It is needed to understand the impact of mutations on phenotypes, to shed light on genetic and epigenetic regulation of mRNAs and more generally to widen our knowledge about cell functionality and tissue diversity. RNA-sequencing (RNA-Seq), and the other applications of the next-generation sequencing, provides precious data to improve annotations' accuracy, simultaneously creating issues related to the variety, complexity and the size of produced data. In this 'scenario', the lack of user-friendly resources, easily accessible to researchers with low skills in bioinformatics, makes difficult to retrieve complete information about one or few genes without browsing a jungle of databases. Concordantly, the increasing amount of data from 'omics' technologies imposes to develop integrated databases merging different data formats coming from distinct but complementary sources. In light of these considerations, and given the wide interest in studying Down syndrome-a genetic condition due to the trisomy of human chromosome 21 (HSA21)-we developed an integrated relational database and a web interface, named ALE-HSA21 (AnaLysis of Expression on HSA21), accessible at http://bioinfo.na.iac.cnr.it/ALE-HSA21. This comprehensive and user-friendly web resource integrates-for all coding and noncoding transcripts of chromosome 21-existing gene annotations and transcripts identified de novo through RNA-Seq analysis with predictive computational analysis of regulatory sequences. Given the role of noncoding RNAs and untranslated regions of coding genes in key regulatory mechanisms, ALE-HSA21 is also an interesting web-based platform to investigate such processes. The 'transcript-centric' and easily-accessible nature of ALE-HSA21 makes this resource a valuable tool to rapidly retrieve data at the isoform level, rather than at gene level, useful to investigate any disease, molecular pathway or cell process involving chromosome 21 genes. Database URL: http://bioinfo.na.iac.cnr.it/ALE-HSA21/.

Indexed as

Gene Expression RegulationInternetBase SequenceChromosomes, Human, Pair 21Computer SimulationDatabases, GeneticData CollectionHumansMicroRNAsMolecular Sequence DataPilot ProjectsReproducibility of ResultsRNA, MessengerRNA, UntranslatedSequence Analysis, RNAMicroRNAsRNA, MessengerRNA, Untranslated

Identifiers

PMID24573881
PMCPMC3935309
OpenAlexW2162256669

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.