Evidence map›Paper›PMID 24466547›Full record

ReviewBlood research2013

Next generation sequencing: new tools in immunology and hematology.

Antonio Mori, Sara Deola, Luciano Xumerle, Vladan Mijatovic, Giovanni Malerba, Vladia Monsurrò

Open access · hybridAbstract readReview
In one paragraph

Review in Blood research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

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  13. [The progress of molecular genetics in bone marrow failure].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2017
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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

6 authors at 2 institutions in 1 country.

Antonio MoriDepartment of Life and Reproduction Science, University of Verona, Verona, Italy.
Sara DeolaHematology Unit, Bolzano Central Hospital, Bolzano, Italy.
Luciano XumerleDepartment of Life and Reproduction Science, University of Verona, Verona, Italy.
Vladan MijatovicDepartment of Life and Reproduction Science, University of Verona, Verona, Italy.
Giovanni MalerbaDepartment of Life and Reproduction Science, University of Verona, Verona, Italy.
Vladia MonsurròDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
University of Verona · ITOspedale di Bolzano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the hallmarks of the adaptive immune system is the specificity of B and T cell receptors. Thanks to somatic recombination, a large repertoire of receptors can be generated within an individual that guarantee the recognition of a vast number of antigens. Monoclonal antibodies have limited applicability, given the high degree of diversity among these receptors, in BCR and TCR monitoring. Furthermore, with regard to cancer, better characterization of complex genomes and the ability to monitor tumor-specific cryptic mutations or translocations are needed to develop better tailored therapies. Novel technologies, by enhancing the ability of BCR and TCR monitoring, can help in the search for minimal residual disease during hematological malignancy diagnosis and follow-up, and can aid in improving bone marrow transplantation techniques. Recently, a novel technology known as next generation sequencing has been developed; this allows the recognition of unique sequences and provides depth of coverage, heterogeneity, and accuracy of sequencing. This provides a powerful tool that, along with microarray analysis for gene expression, may become integral in resolving the remaining key problems in hematology. This review describes the state of the art of this novel technology, its application in the immunological and hematological fields, and the possible benefits it will provide for the hematology and immunology community.

Indexed as

B cell receptorImmune monitoringNext generation sequenceT cell receptor

Identifiers

PMID24466547
PMCPMC3894381
OpenAlexW2102616711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.