Evidence map›Paper›PMID 36399272›Full record

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

Somatic CNV Detection by Single-Cell Whole-Genome Sequencing in Postmortem Human Brain.

Diego Perez-Rodriguez, Maria Kalyva, Catherine Santucci, Christos Proukakis

Abstract read
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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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.

Diego Perez-RodriguezDepartment of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK.
Maria KalyvaDepartment of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK.
Catherine SantucciDepartment of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK.
Christos ProukakisDepartment of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK. c.proukakis@ucl.ac.uk.
King's College London · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence for a role of somatic mutations, including copy-number variants (CNVs), in neurodegeneration has increased in the last decade. However, the understanding of the types and origins of these mutations, and their exact contributions to disease onset and progression, is still in its infancy. The use of single-cell (or nuclear) whole-genome sequencing (scWGS) has emerged as a powerful tool to answer these questions. In the present chapter, we provide laboratory and bioinformatic protocols used successfully in our lab to detect megabase-scale CNVs in single cells from multiple system atrophy (MSA) human postmortem brains, using immunolabeling prior to selection of nuclei for whole-genome amplification (WGA). We also present an unpublished comparison of scWGS generated from the same control substantia nigra (SN) sample, using the latest versions of popular WGA chemistries, MDA and PicoPLEX. We have used this protocol to focus on brain cell types most relevant to synucleinopathies (dopaminergic [DA] neurons in Parkinson's disease [PD] and oligodendrocytes in MSA), but it can be applied to any tissue and/or cell type with appropriate markers.

Indexed as

Multiple System AtrophyParkinson DiseaseBrainDNA Copy Number VariationsHumansWhole Genome SequencingCNVMosaicismMultiple system atrophyParkinson’s diseaseSingle-cell sequencingSomatic mutationSubstantia nigraWhole-genome amplification

Identifiers

PMID36399272
OpenAlexW4309582900

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.