Evidence map›Paper›PMID 42443443›Full record

ReviewNature protocols2026

Mapping 3D genome organization at nucleosome-scale with Micro-C and Region Capture Micro-C (RCMC).

Miles K Huseyin, Clarice K Y Hong, Masahiro Nagano, Jamie A Drayton, James M Jusuf, Jin H Yang, Varshini Ramanathan, Viraat Y Goel, Sumin Kim, Anders S Hansen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. 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
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.

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

10 authors.

Miles K HuseyinDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0258-2994
Clarice K Y HongDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Masahiro NaganoDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1228-4015
Jamie A DraytonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-9759-3505
James M JusufDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jin H YangDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Varshini RamanathanDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Viraat Y GoelDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sumin KimDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Anders S HansenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. ashansen@mit.edu.ORCID http://orcid.org/0000-0001-7540-7858

Funding

Center for 3D Structure and Physics of the GenomeUM1HG011536 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DEKKER, JOB, MIRNY, LEONID A · 2020 to 2024
$11.8M
Chemical Approaches to Modulate PAX3-FOXO1 in Fusion-Positive Alveolar RhabdomyosarcomaUM1CA294108 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ALEX B BURGIN, Alexandra E Gould · 2024 to 2026
$6.9M
Resolving transcription factor target search mechanismsR01CA300848 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Anders Sejr Hansen · 2024 to 2026
$2.9M
DYNAMIC BOTTOM-UP DISSECTION OF CHROMATIN LOOPING AND GENE REGULATIONDP2GM140938 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2020 to 2020
$2.3M
An integrated toolkit for real-time analysis of coupled nascent transcriptionR01EB035127 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Anders Sejr Hansen · 2024 to 2026
$1.3M
Super-resolution microscopy for dynamic analysis of focal enhancer amplifications in cancerR33CA257878 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2021 to 2023
$1.1M
3D Chromatin architectural dynamics at ultra-high resolutionR01HG014500 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI Gerd A Blobel, Anders Sejr Hansen · 2026 to 2026
$863k
Molecular mechanisms regulating chromatin looping in time and spaceR00GM130896 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2020 to 2022
$747k
Ultra-high resolution 3D genome maps for multiple human tissuesR03OD038390 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HANSEN, ANDERS SEJR, LIU, JIE · 2024 to 2024
$309k
National Science Foundation (NSF) 2036037National Science Foundation (NSF) 2337728U.S. Department of Health & Human Services | National Institutes of Health (NIH) DP2GM140938U.S. Department of Health & Human Services | National Institutes of Health (NIH) R00GM130896U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01CA300848U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01EB035127U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG014500U.S. Department of Health & Human Services | National Institutes of Health (NIH) R03OD038390U.S. Department of Health & Human Services | National Institutes of Health (NIH) R33CA257878U.S. Department of Health & Human Services | National Institutes of Health (NIH) UM1CA294108U.S. Department of Health & Human Services | National Institutes of Health (NIH) UM1HG011536
6 · The paper itself

Abstract

Micro-C and Region Capture Micro-C (RCMC) are developments of chromosome conformation capture (3C) genomics methods used to identify regions of the genome in close 3D proximity at nucleosome resolution. Micro-C uses in situ MNase digestion of crosslinked chromatin, biotin labeling, proximity ligation and biotin pulldown to recover ligated nucleosomal DNA fragments, with RCMC including a subsequent capture step to enrich for specific regions of the genome. This presents an advantage over previous approaches, such as Hi-C, which rely on restriction enzymes: by digesting the genome without requiring sequence motifs and performing size selection for ligated mononucleosomes, Micro-C can achieve nucleosome-scale resolution of 3D genome organization. The addition of tiled capture of a region allows for deeper sequencing of a location of interest or for experiments with many conditions to be performed while avoiding costly sequencing of the entire genome. Micro-C enables the identification of all known 3D genome features, including interactions between enhancers and promoters that have been missed by previous methods. RCMC can achieve even greater depth and the identification of even more finely resolved interactions. The Micro-C protocol can be completed in 4 d, with an extra 2 d to complete capture, and can be performed by a competent wet laboratory scientist with experience in molecular biology.

Identifiers

What Socratic 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 Socratic graph.