Evidence map›Paper›PMID 38352517›Full record

ArticlebioRxiv : the preprint server for biology2024

Single-molecule chromatin configurations link transcription factor binding to expression in human cells.

Benjamin R Doughty, Michaela M Hinks, Julia M Schaepe, Georgi K Marinov, Abby R Thurm, Carolina Rios-Martinez, Benjamin E Parks, Yingxuan Tan, Emil Marklund, Danilo Dubocanin and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 17 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Benjamin R DoughtyGenetics Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0447-4468
Michaela M HinksBioengineering Department, Stanford University, Stanford, CA 94305, USA.
Julia M SchaepeBioengineering Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0416-0469
Georgi K MarinovGenetics Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-1822-7273
Abby R ThurmBiophysics Graduate Program, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-1819-3192
Carolina Rios-MartinezBioengineering Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-6927-2256
Benjamin E ParksComputer Science Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0261-7472
Yingxuan TanComputer Science Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-6674-3219
Emil MarklundScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-1150-7304
Danilo DubocaninGenetics Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0330-5814
Lacramioara BintuBioengineering Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5443-6633
William J GreenleafGenetics Department, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-1409-3095
Stanford University · USStockholm University · SE

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Medical Scientist Training ProgramT32GM145402 · NIGMS · STANFORD UNIVERSITY · PI Katrin F. Chua · 2022 to 2026
$10.0M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS UM1 HG009436NIGMS NIH HHS T32 GM145402
6 · The paper itself

Abstract

The binding of multiple transcription factors (TFs) to genomic enhancers activates gene expression in mammalian cells. However, the molecular details that link enhancer sequence to TF binding, promoter state, and gene expression levels remain opaque. We applied single-molecule footprinting (SMF) to measure the simultaneous occupancy of TFs, nucleosomes, and components of the transcription machinery on engineered enhancer/promoter constructs with variable numbers of TF binding sites for both a synthetic and an endogenous TF. We find that activation domains enhance a TF's capacity to compete with nucleosomes for binding to DNA in a BAF-dependent manner, TF binding on nucleosome-free DNA is consistent with independent binding between TFs, and average TF occupancy linearly contributes to promoter activation rates. We also decompose TF strength into separable binding and activation terms, which can be tuned and perturbed independently. Finally, we develop thermodynamic and kinetic models that quantitatively predict both the binding microstates observed at the enhancer and subsequent time-dependent gene expression. This work provides a template for quantitative dissection of distinct contributors to gene activation, including the activity of chromatin remodelers, TF activation domains, chromatin acetylation, TF concentration, TF binding affinity, and TF binding site configuration.

Identifiers

PMID38352517
PMCPMC10862896
OpenAlexW4391519297

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.