Evidence map›Paper›PMID 31109734›Full record

ArticleBiophysical journal2019

Q-FADD: A Mechanistic Approach for Modeling the Accumulation of Proteins at Sites of DNA Damage.

Jyothi Mahadevan, Johannes Rudolph, Asmita Jha, Jian Wei Tay, Joseph Dragavon, Erik M Grumstrup, Karolin Luger

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Jyothi MahadevanDepartment of Biochemistry.
Johannes RudolphDepartment of Biochemistry.
Asmita JhaDepartment of Biochemistry.
Jian Wei TayBioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado.
Joseph DragavonBioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado.
Erik M GrumstrupDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, Montana.
Karolin LugerDepartment of Biochemistry; Howard Hughes Medical Institute, University of Colorado Boulder, Boulder, Colorado. Electronic address: karolin.luger@colorado.edu.
University of Colorado Boulder · USHoward Hughes Medical Institute · USMontana State University · US

Funding

Structure and Mechanism of Chromatin-Bound PARP1R01CA218255 · NCI · UNIVERSITY OF COLORADO · PI Karolin Luger · 2017 to 2026
$4.5M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA218255
6 · The paper itself

Abstract

The repair of DNA damage requires the ordered recruitment of many different proteins that are responsible for signaling and subsequent repair. A powerful and widely used tool for studying the orchestrated accumulation of these proteins at damage sites is laser microirradiation in live cells, followed by monitoring the accumulation of the fluorescently labeled protein in question. Despite the widespread use of this approach, there exists no rigorous method for characterizing the recruitment process quantitatively. Here, we introduce a diffusion model that explicitly accounts for the unique sizes and shapes of individual nuclei and uses two variables: D

Indexed as

DNA DamageModels, BiologicalAnimalsCarrier ProteinsCell LineDiffusionHumansKineticsMiceNuclear ProteinsPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) PolymerasesCarrier ProteinsHPF1 protein, humanNuclear ProteinsPARP1 protein, humanPARP2 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerases

Identifiers

PMID31109734
PMCPMC6554667
OpenAlexW2943475859

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.