In one paragraphArticle in bioRxiv : the preprint server for biology, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Jin H YangDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0001-6489-3926 Henrik D PinholtDepartment of Physics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-4345-5334 Jack ToppenDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0009-0007-7327-2604 Miles K HuseyinDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0002-0258-2994 James M JusufDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0002-2786-5982 Christos C KatsifisDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0001-5289-8914 Jacob Kæstel-HansenDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0001-7365-9664 Leonid A MirnyDepartment of Physics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-0785-5410 Anders S HansenDepartment of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0001-7540-7858 Funding
VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9MCenter for 3D Structure and Physics of the GenomeUM1HG011536 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DEKKER, JOB, MIRNY, LEONID A · 2020 to 2024
$11.8MGraduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6MResolving transcription factor target search mechanismsR01CA300848 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Anders Sejr Hansen · 2024 to 2026
$2.9MPolymer models of mitotic and interphase chromosomesR01GM114190 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MIRNY, LEONID A · 2015 to 2023
$2.8MDYNAMIC BOTTOM-UP DISSECTION OF CHROMATIN LOOPING AND GENE REGULATIONDP2GM140938 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2020 to 2020
$2.3MAn integrated toolkit for real-time analysis of coupled nascent transcriptionR01EB035127 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Anders Sejr Hansen · 2024 to 2026
$1.3MSuper-resolution microscopy for dynamic analysis of focal enhancer amplifications in cancerR33CA257878 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2021 to 2023
$1.1M3D Chromatin architectural dynamics at ultra-high resolutionR01HG014500 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI Gerd A Blobel, Anders Sejr Hansen · 2026 to 2026
$863kUltra-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
$309kMechanistic dissection of dynamics of transcriptional regulation by chromatin loopingF32GM140548 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HUSEYIN, MILES KOCUR · 2021 to 2023
$205kNCI NIH HHS P30 CA014051NCI NIH HHS R01 CA300848NCI NIH HHS R33 CA257878NHGRI NIH HHS R01 HG014500NHGRI NIH HHS UM1 HG011536NIBIB NIH HHS R01 EB035127NIGMS NIH HHS DP2 GM140938NIGMS NIH HHS F32 GM140548NIGMS NIH HHS R01 GM114190NIGMS NIH HHS T32 GM087237NIH HHS R03 OD038390
6 · The paper itselfAbstract
Enhancers are key regulators of mammalian gene expression, yet how they interact with promoters in space (contact vs. action-at-a-distance) and in time (transient vs. stable) remains poorly understood. Recent studies suggest that enhancers can activate promoters across distances exceeding 200 nanometers, challenging classical contact models, but limited spatiotemporal resolution has obscured the mechanistic details of enhancer-promoter (E-P) interactions and their link to transcription. Here, we engineered a synthetic biology platform optimized for the simultaneous visualization of E-P 3D distance and nascent transcription using super-resolution live-cell imaging. By applying five complementary approaches integrating imaging, 3D genomics, and gene expression data across cell lines, we estimate that transcriptional activation is mediated by ~25-42 nanometer contacts on the seconds timescale. Our results support a transient contact mechanism for E-P-mediated gene activation.
Indexed as
Enhancer-promoter interactionsEnhancersGene regulationLive-cell ImagingLooping
Identifiers
PMID42367879
PMCPMC13308063
What Socratic holds
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LicenceCC BY-NC
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