Evidence map›Paper›PMID 39740143›Full record

ArticleJournal of the American Chemical Society2025

Photochemically Triggered, Transient, and Oscillatory Transcription Machineries Guide Temporal Modulation of Fibrinogenesis.

Jiantong Dong, Itamar Willner

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Jiantong DongThe Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.ORCID 0000-0001-7063-711X
Itamar WillnerThe Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.ORCID 0000-0001-9710-9077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photochemically triggered, transient, and temporally oscillatory-modulated transcription machineries are introduced. The resulting dynamic transcription circuits are implemented to guide photochemically triggered, transient, and oscillatory modulation of thrombin toward temporal control over fibrinogenesis. One system describes the assembly of a reaction module leading to the photochemically triggered formation of an active transcription machinery that, in the presence of RNase H, guides the transient activation of thrombin toward fibrinogenesis. A second system introduces photochemical triggering of a reaction circuit consisting of two coupled transcription machineries, leading to the temporally oscillatory formation and depletion of an intermediate reaction product. The concept is applied to develop a photochemically triggered transcription circuit that, in the presence of RNase H, leads to the oscillatory generation of an intermediate anti-thrombin aptamer-modified product. The oscillating aptamer-modified product induces the rhythmic inhibition of thrombin, accompanied by the cyclic activation and deactivation of the fibrinogenesis process. The operation of the transient and oscillatory-modulated transcription machinery reaction circuits is accompanied by computational kinetic models, allowing to predict the dynamic behaviors of the system under different auxiliary conditions. The phototriggered transient transcription machinery and oscillatory circuit-guided fibrinogenesis is examined under physiological-like conditions and within a human plasma environment.

Indexed as

ThrombinTranscription, GeneticAptamers, NucleotideHumansKineticsPhotochemical ProcessesAptamers, NucleotideThrombin

Identifiers

PMID39740143
PMCPMC11744759

What OpenQuestion holds

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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.