Evidence map›Paper›PMID 37041444›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Mate Pair Sequencing: Next-Generation Sequencing for Structural Variant Detection.

Beth A Pitel, Eric Zimmerman Zuckerman, Linda B Baughn

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
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

3 authors at 1 institution in 1 country.

Beth A PitelDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. pitel.beth@mayo.edu.
Eric Zimmerman ZuckermanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Linda B BaughnDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variant detection by next-generation sequencing (NGS) methods have a higher molecular resolution than conventional cytogenetic techniques (Aypar et al., Eur J Haematol 102(1):87-96, 2019; Smadbeck et al., Blood Cancer J 9(12):103, 2019) and are particularly helpful in characterizing genomic rearrangements. Mate pair sequencing (MPseq) leverages a unique library preparation chemistry involving circularization of long DNA fragments, allowing for a unique application of paired-end sequencing of reads that are expected to map 2-5 kb apart in the genome. The unique orientation of the reads allows the user to estimate the location of breakpoints involved in a structural variant either within the sequenced reads or between the two reads. The precision of structural variant and copy number detection by this method allows for characterization of cryptic and complex rearrangements that may be otherwise undetectable by conventional cytogenetic methods (Singh et al., Leuk Lymphoma 60(5):1304-1307, 2019; Peterson et al., Blood Adv 3(8):1298-1302, 2019; Schultz et al., Leuk Lymphoma 61(4):975-978, 2020; Peterson et al., Mol Case Studies 5(2), 2019; Peterson et al., Mol Case Studies 5(3), 2019).

Indexed as

GenomeGenomicsCytogenetic AnalysisGene RearrangementHigh-Throughput Nucleotide SequencingCopy numberCytogeneticsFusionGenomicsInversionLibrary preparationMate pairMolecular geneticsMPseqNGSPaired endStructural variantsTranslocation

Identifiers

PMID37041444
OpenAlexW4364856266

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.