Evidence map›Paper›PMID 35884620›Full record

ReviewBrain sciences2022

Single-Cell RNA Sequencing of Cerebrospinal Fluid as an Advanced Form of Liquid Biopsy for Neurological Disorders.

Anudeep Yekula, Jovanna Tracz, Jordina Rincon-Torroella, Tej Azad, Chetan Bettegowda

Abstract readReview
In one paragraph

Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Single-cell sequencing: promises and challenges for human genetics.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022
    Article
  8. 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

5 authors.

Anudeep YekulaDepartment of Surgery, Yale School of Medicine, New Haven, CT 06510, USA.
Jovanna TraczDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0002-7233-8962
Jordina Rincon-TorroellaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0003-4798-8231
Tej AzadDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Chetan BettegowdaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis and longitudinal monitoring of neurological diseases are limited by the poor specificity and limited resolution of currently available techniques. Analysis of circulating cells in cerebrospinal fluid (CSF) has emerged as a promising strategy for the diagnosis, molecular characterization, and monitoring of neurological disease. In comparison to bulk sequencing analysis, single-cell sequencing studies can provide novel insights into rare cell populations and uncover heterogeneity in gene expression at a single-cell resolution, which has several implications for understanding disease pathology and treatment. Parallel development of standardized biofluid collection protocols, pre-processing strategies, reliable single-cell isolation strategies, downstream genomic analysis, and robust computational analysis is paramount for comprehensive single-cell sequencing analysis. Here we perform a comprehensive review of studies focusing on single-cell sequencing of cells in the CSF of patients with oncological or non-oncological diseases of the central nervous system.

Indexed as

neuroinflammationneurological diseaseRNA-SeqscRNA sequencingsingle-cell RNA sequencingtranscriptome

Identifiers

PMID35884620
PMCPMC9313114

What OpenQuestion holds

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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.