Evidence map›Paper›PMID 20625424›Full record

ReviewJournal of biomedicine & biotechnology2010

Uncovering the complexity of transcriptomes with RNA-Seq.

Valerio Costa, Claudia Angelini, Italia De Feis, Alfredo Ciccodicola

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
210citing papers in PubMed, 1 pooled it
16.4field-weighted citation impact, top 1% 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

210 citing papers in PubMed, 1 synthesis or guideline pooled it, 450 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026
    Review
  7. NOX2 Contributes to High-Frequency Outer Hair Cell Vulnerability in the Cochlea.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. The Study ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Transcriptomic Analysis Reveals the Potential Mechanism ofInternational journal of molecular sciences · 2024
    Article

150 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

4 authors at 2 institutions in 1 country.

Valerio CostaInstitute of Genetics and Biophysics A. Buzzati-Traverso, IGB-CNR, Naples, Italy. costav@igb.cnr.it
Claudia Angelini
Italia De Feis
Alfredo Ciccodicola
Institute of Genetics and Biophysics · ITIstituto per le Applicazioni del Calcolo Mauro Picone · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the introduction of massively parallel sequencing platforms for Next Generation Sequencing (NGS) protocols, able to simultaneously sequence hundred thousand DNA fragments, dramatically changed the landscape of the genetics studies. RNA-Seq for transcriptome studies, Chip-Seq for DNA-proteins interaction, CNV-Seq for large genome nucleotide variations are only some of the intriguing new applications supported by these innovative platforms. Among them RNA-Seq is perhaps the most complex NGS application. Expression levels of specific genes, differential splicing, allele-specific expression of transcripts can be accurately determined by RNA-Seq experiments to address many biological-related issues. All these attributes are not readily achievable from previously widespread hybridization-based or tag sequence-based approaches. However, the unprecedented level of sensitivity and the large amount of available data produced by NGS platforms provide clear advantages as well as new challenges and issues. This technology brings the great power to make several new biological observations and discoveries, it also requires a considerable effort in the development of new bioinformatics tools to deal with these massive data files. The paper aims to give a survey of the RNA-Seq methodology, particularly focusing on the challenges that this application presents both from a biological and a bioinformatics point of view.

Indexed as

AnimalsComputational BiologyGene Expression ProfilingGene Expression RegulationGenomeHumansRNASequence Analysis, RNARNA

Identifiers

PMID20625424
PMCPMC2896904
OpenAlexW2058805572

What OpenQuestion holds

Textmetadata
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.