Evidence map›Paper›PMID 35260714›Full record

ArticleScientific reports2022

A novel single-cell RNA-sequencing approach and its applicability connecting genotype to phenotype in ageing disease.

Orr Shomroni, Maren Sitte, Julia Schmidt, Sabnam Parbin, Fabian Ludewig, Gökhan Yigit, Laura Cecilia Zelarayan, Katrin Streckfuss-Bömeke, Bernd Wollnik, Gabriela Salinas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Orr Shomroni *NGS- Core Unit for Integrative Genomics, Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Maren Sitte *NGS- Core Unit for Integrative Genomics, Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Julia SchmidtInstitute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Sabnam ParbinNGS- Core Unit for Integrative Genomics, Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Fabian LudewigNGS- Core Unit for Integrative Genomics, Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Gökhan YigitInstitute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Laura Cecilia ZelarayanInstitute of Pharmacology and Toxicology, University Medical Center Göttingen, Göttingen, Germany.
Katrin Streckfuss-BömekeClinic of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Bernd WollnikInstitute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany.
Gabriela SalinasNGS- Core Unit for Integrative Genomics, Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany. gsalina@gwdg.de.
Universitätsmedizin Göttingen · DEUniversity of Göttingen · DEGerman Centre for Cardiovascular Research · DEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell multi-omics analysis has the potential to yield a comprehensive understanding of the cellular events that underlie the basis of human diseases. The cardinal feature to access this information is the technology used for single-cell isolation, barcoding, and sequencing. Most currently used single-cell RNA-sequencing platforms have limitations in several areas including cell selection, documentation and library chemistry. In this study, we describe a novel high-throughput, full-length, single-cell RNA-sequencing approach that combines the CellenONE isolation and sorting system with the ICELL8 processing instrument. This method offers substantial improvements in single cell selection, documentation and capturing rate. Moreover, it allows the use of flexible chemistry for library preparations and the analysis of living or fixed cells, whole cells independent of sizing and morphology, as well as of nuclei. We applied this method to dermal fibroblasts derived from six patients with different segmental progeria syndromes and defined phenotype associated pathway signatures with variant associated expression modifiers. These results validate the applicability of our method to highlight genotype-expression relationships for molecular phenotyping of individual cells derived from human patients.

Indexed as

High-Throughput Nucleotide SequencingSingle-Cell AnalysisAgingGenotypeHumansPhenotypeRNARNA

Identifiers

PMID35260714
PMCPMC8904555
OpenAlexW4220897238

What OpenQuestion holds

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Registered trials

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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.