Evidence map›Paper›PMID 24308330›Full record

ArticleBMC genomics2013

A platform independent RNA-Seq protocol for the detection of transcriptome complexity.

Claudia Calabrese, Marina Mangiulli, Caterina Manzari, Anna Maria Paluscio, Mariano Francesco Caratozzolo, Flaviana Marzano, Ivana Kurelac, Anna Maria D'Erchia, Domenica D'Elia, Flavio Licciulli and 8 more

Abstract read
In one paragraph

Article in BMC genomics, 2013. 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
–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

3 citing papers in PubMed.

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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

18 authors.

Claudia Calabrese
Marina Mangiulli
Caterina Manzari
Anna Maria Paluscio
Mariano Francesco Caratozzolo
Flaviana Marzano
Ivana Kurelac
Anna Maria D'Erchia
Domenica D'Elia
Flavio Licciulli
Sabino Liuni
Ernesto Picardi
Marcella Attimonelli
Giuseppe Gasparre
Anna Maria Porcelli
Graziano Pesole
Elisabetta Sbisà
Apollonia TulloIstituto di Tecnologie Biomediche (ITB), Consiglio Nazionale delle Ricerche (CNR), Bari, Italy. apollonia.tullo@ba.itb.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have demonstrated an unexpected complexity of transcription in eukaryotes. The majority of the genome is transcribed and only a little fraction of these transcripts is annotated as protein coding genes and their splice variants. Indeed, most transcripts are the result of antisense, overlapping and non-coding RNA expression. In this frame, one of the key aims of high throughput transcriptome sequencing is the detection of all RNA species present in the cell and the first crucial step for RNA-seq users is represented by the choice of the strategy for cDNA library construction. The protocols developed so far provide the utilization of the entire library for a single sequencing run with a specific platform.

resultsWe set up a unique protocol to generate and amplify a strand-specific cDNA library representative of all RNA species that may be implemented with all major platforms currently available on the market (Roche 454, Illumina, ABI/SOLiD). Our method is reproducible, fast, easy-to-perform and even allows to start from low input total RNA. Furthermore, we provide a suitable bioinformatics tool for the analysis of the sequences produced following this protocol.

conclusionWe tested the efficiency of our strategy, showing that our method is platform-independent, thus allowing the simultaneous analysis of the same sample with different NGS technologies, and providing an accurate quantitative and qualitative portrait of complex whole transcriptomes.

Indexed as

High-Throughput Nucleotide SequencingTranscriptomeAnimalsCell Line, TumorChromosome MappingExpressed Sequence TagsGene Expression ProfilingGene Expression RegulationHeterograftsHumansMiceMolecular Sequence AnnotationSequence Analysis, RNA

Identifiers

PMID24308330
PMCPMC4046740

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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.