Evidence map›Paper›PMID 39285281›Full record

ArticleBMC research notes2024

Concurrent analysis of genome and transcriptome in one single cell.

Johanna Heid, Ronald Cutler, Moonsook Lee, Jan Vijg, Alexander Y Maslov

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Johanna HeidDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. johanna.heid@nyulangone.org.
Ronald CutlerDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Moonsook LeeDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Jan VijgDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Alexander Y MaslovDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. alex.maslov@einsteinmed.edu.

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
The role of hyaluronan in longevity and cancer resistance of longest-lived rodentP01AG047200 · NIA · UNIVERSITY OF ROCHESTER · PI JAN VIJG · 2014 to 2026
$36.9M
NIA NIH HHS P01 AG017242NIA NIH HHS P01 AG047200NIH HHS P01 AG017242
6 · The paper itself

Abstract

Thus far, multiple techniques for single cell analysis have been developed, yet we lack a relatively simple tool to assess DNA and RNA from the same cell at whole-transcriptome and whole-genome depths. Here we present an updated method for physical separation of cytoplasmic RNA from the nuclei, which allows for simultaneous studies of DNA and RNA from the same single cell. The method consists of three steps-(1) immobilization of a single cell on solid substrate, (2) hypotonic lysis of immobilized single cell, and (3) separation of cytosol containing aqueous phase and immobilized nucleus. We found that DNA and RNA extracted from single cell using our approach is suitable for downstream sequencing-based applications. We demonstrated that the coverage of transcriptome and genome sequencing data obtained after DNA/RNA separation is similar to that observed without separation. We also showed that the separation procedure does not create any noticeable bias in observed mutational load or mutation spectra. Thus, our method can serve as a tool for simultaneous complex analysis of the genome and transcriptome, providing necessary information on the relationship between somatic mutations and the regulation of gene expression.

Indexed as

Single-Cell AnalysisTranscriptomeCell NucleusDNAGene Expression ProfilingGenome, HumanHumansMutationRNADNARNADNA mutation analysisMRNA expressionSingle cell

Identifiers

PMID39285281
PMCPMC11403997

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.