Evidence map›Paper›PMID 35225292›Full record

ArticleJournal of visualized experiments : JoVE2022

Reusable Single Cell for Iterative Epigenomic Analyses.

Hidetaka Ohnuki, David J Venzon, Alexei Lobanov, Giovanna Tosato

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Hidetaka OhnukiLaboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health; hidetaka.ohnuki@nih.gov.
David J VenzonBiostatistics and Data Management Section, Center for Cancer Research, National Cancer Institute, National Institutes of Health.
Alexei LobanovCCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, National Cancer Institute, National Institutes of Health; Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute.
Giovanna TosatoLaboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health.
Center for Cancer Research · USNational Institutes of Health · US

Funding

Angiogenesis and Tumor GrowthZIASC010355 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI TOSATO, GIOVANNA · 2009 to 2025
$13.3M
Study of the Roles of SDF1 and CXCR4 in HematopoiesisZIABC010782 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TOSATO, GIOVANNA · 2009 to 2025
$10.2M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA SC010355NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Current single-cell epigenome analyses are designed for single use. The cell is discarded after a single use, preventing analysis of multiple epigenetic marks in a single cell and requiring data from other cells to distinguish signal from experimental background noise in a single cell. This paper describes a method to reuse the same single cell for iterative epigenomic analyses. In this experimental method, cellular proteins are first anchored to a polyacrylamide polymer instead of crosslinking them to protein and DNA, alleviating structural bias. This critical step allows repeated experiments with the same single cell. Next, a random primer with a scaffold sequence for proximity ligation is annealed to the genomic DNA, and the genomic sequence is added to the primer by extension using a DNA polymerase. Subsequently, an antibody against an epigenetic marker and control IgG, each labeled with different DNA probes, are bound to the respective targets in the same single cell. Proximity ligation is induced between the random primer and the antibody by adding a connector DNA with complementary sequences to the scaffold sequence of the random primer and the antibody-DNA probe. This approach integrates antibody information and nearby genome sequences in a single DNA product of proximity ligation. By enabling repeated experiments with the same single cell, this method allows an increase in data density from a rare cell and statistical analysis using only IgG and antibody data from the same cell. The reusable single cells prepared by this method can be stored for at least a few months and reused later to broaden epigenetic characterization and increase data density. This method provides flexibility to researchers and their projects.

Indexed as

DNAEpigenomicsDNA-Directed DNA PolymeraseDNA ProbesEpigenomeDNADNA-Directed DNA PolymeraseDNA Probes

Identifiers

PMID35225292
PMCPMC9376938
OpenAlexW4211146171

What OpenQuestion holds

Textmetadata
LicenceTDM
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.