Evidence map›Paper›PMID 29674753›Full record

ArticleNature protocols2018

Combining fluorescence imaging with Hi-C to study 3D genome architecture of the same single cell.

David Lando, Srinjan Basu, Tim J Stevens, Andy Riddell, Kai J Wohlfahrt, Yang Cao, Wayne Boucher, Martin Leeb, Liam P Atkinson, Steven F Lee and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Enhancer-Promoter Communication: It's Not Just About Contact.Frontiers in molecular biosciences · 2022
    Article
  5. Article
  6. Single-cell Hi-C data analysis: safety in numbers.Briefings in bioinformatics · 2021
    Article
  7. FISH Going Meso-Scale: A Microscopic Search for Chromatin Domains.Frontiers in cell and developmental biology · 2021
    Review
  8. Article
  9. Article
  10. 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

13 authors at 3 institutions in 1 country.

David LandoDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Srinjan BasuDepartment of Biochemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-1080-979X
Tim J StevensMRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.ORCID 0000-0001-6475-2074
Andy RiddellWellcome Trust - MRC Stem Cell Institute, University of Cambridge, Cambridge, UK.
Kai J WohlfahrtDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Yang CaoDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Wayne BoucherDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Martin LeebWellcome Trust - MRC Stem Cell Institute, University of Cambridge, Cambridge, UK.
Liam P AtkinsonDepartment of Biochemistry, University of Cambridge, Cambridge, UK.
Steven F LeeDepartment of Chemistry, University of Cambridge, Cambridge, UK.
Brian HendrichWellcome Trust - MRC Stem Cell Institute, University of Cambridge, Cambridge, UK.
Dave KlenermanDepartment of Chemistry, University of Cambridge, Cambridge, UK.
Ernest D LaueDepartment of Biochemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7476-4148
University of Cambridge · GBWellcome/MRC Cambridge Stem Cell Institute · GBMRC Laboratory of Molecular Biology · GB

Funding

Medical Research Council MC_PC_12009Medical Research Council MC_U105178783Medical Research Council MR/M010082/1Medical Research Council MR/P019471/1Wellcome Trust 206291/Z/17/Z
6 · The paper itself

Abstract

Fluorescence imaging and chromosome conformation capture assays such as Hi-C are key tools for studying genome organization. However, traditionally, they have been carried out independently, making integration of the two types of data difficult to perform. By trapping individual cell nuclei inside a well of a 384-well glass-bottom plate with an agarose pad, we have established a protocol that allows both fluorescence imaging and Hi-C processing to be carried out on the same single cell. The protocol identifies 30,000-100,000 chromosome contacts per single haploid genome in parallel with fluorescence images. Contacts can be used to calculate intact genome structures to better than 100-kb resolution, which can then be directly compared with the images. Preparation of 20 single-cell Hi-C libraries using this protocol takes 5 d of bench work by researchers experienced in molecular biology techniques. Image acquisition and analysis require basic understanding of fluorescence microscopy, and some bioinformatics knowledge is required to run the sequence-processing tools described here.

Indexed as

Molecular ConformationMouse Embryonic Stem CellsAnimalsCells, CulturedChromatinChromosomesImaging, Three-DimensionalMiceMolecular BiologyOptical ImagingSingle-Cell AnalysisChromatin

Identifiers

PMID29674753
OpenAlexW2791000789

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.