Evidence map›Paper›PMID 28758927›Full record

ReviewInternational journal of molecular sciences2017

Transcriptome Profiling in Human Diseases: New Advances and Perspectives.

Amelia Casamassimi, Antonio Federico, Monica Rienzo, Sabrina Esposito, Alfredo Ciccodicola

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 1 pooled it
–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

153 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  6. Review
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  15. Gene regulation through exon junction complex modularity.Nature structural & molecular biology · 2025
    Review
  16. Article
  17. Review
  18. Integrative RNA-seq analysis reveals immune-related hub genesInternational journal of reproductive biomedicine · 2025
    Article
  19. Article
  20. Article

93 more citing papers are in PubMed but not listed here.

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.

Amelia CasamassimiDepartment of Biochemistry, Biophysics and General Pathology, University of Campania "Luigi Vanvitelli", Via L. De Crecchio, 80138 Naples, Italy. amelia.casamassimi@unicampania.it.
Antonio FedericoInstitute of Genetics and Biophysics "Adriano Buzzati Traverso", CNR, 80131 Naples, Italy. antonio.federico@igb.cnr.it.
Monica RienzoDepartment of Environmental, Biological, and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy. monica.rienzo@unicampania.it.
Sabrina EspositoDepartment of Environmental, Biological, and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy. sabrina.esposito@unicampania.it.
Alfredo CiccodicolaInstitute of Genetics and Biophysics "Adriano Buzzati Traverso", CNR, 80131 Naples, Italy. alfredo.ciccodicola@igb.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decades, transcriptome profiling has been one of the most utilized approaches to investigate human diseases at the molecular level. Through expression studies, many molecular biomarkers and therapeutic targets have been found for several human pathologies. This number is continuously increasing thanks to total RNA sequencing. Indeed, this new technology has completely revolutionized transcriptome analysis allowing the quantification of gene expression levels and allele-specific expression in a single experiment, as well as to identify novel genes, splice isoforms, fusion transcripts, and to investigate the world of non-coding RNA at an unprecedented level. RNA sequencing has also been employed in important projects, like ENCODE (Encyclopedia of the regulatory elements) and TCGA (The Cancer Genome Atlas), to provide a snapshot of the transcriptome of dozens of cell lines and thousands of primary tumor specimens. Moreover, these studies have also paved the way to the development of data integration approaches in order to facilitate management and analysis of data and to identify novel disease markers and molecular targets to use in the clinics. In this scenario, several ongoing clinical trials utilize transcriptome profiling through RNA sequencing strategies as an important instrument in the diagnosis of numerous human pathologies.

Indexed as

Biomarkers, TumorDatabases, GeneticNeoplasmsTranscriptomeGene Expression ProfilingHumansBiomarkers, Tumoralternative transcriptsbiomarkershuman diseasesmulti-omicsnoncoding RNARNA sequencingtherapeutic targetstranscriptome profiling

Identifiers

PMID28758927
PMCPMC5578042

What Socratic 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 Socratic graph.