Evidence map›Paper›PMID 41756840›Full record

ArticlebioRxiv : the preprint server for biology2026

QuantiTrack: A unified software to study protein dynamics in living cells.

David A Ball, Kaustubh Wagh, Diana A Stavreva, Le Hoang, R Louis Schiltz, Raj Chari, Razi Raziuddin, Davide Mazza, Arpita Upadhyaya, Gordon L Hager and 1 more

Abstract readPreprint
In one paragraph

Article 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 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

11 authors.

David A BallLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.ORCID 0000-0002-3976-3668
Kaustubh WaghLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.ORCID 0000-0001-8514-027X
Diana A StavrevaLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.ORCID 0000-0002-7904-6452
Le HoangLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
R Louis SchiltzLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.ORCID 0000-0002-7314-3753
Raj ChariGenome Modification Core, Laboratory Animal Sciences Program, Frederick National Lab for Cancer Research, Frederick, MD 21702, USA.
Razi RaziuddinLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Davide MazzaUniversità Vita-Salute San Raffaele, Via Olgettina 58, 20132, Milan, Italy.ORCID 0000-0003-2776-4142
Arpita UpadhyayaDepartment of Physics, University of Maryland, College Park, Maryland 20742, USA.ORCID 0000-0003-1496-919X
Gordon L HagerLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.ORCID 0000-0002-9300-5331
Tatiana S KarpovaLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD 20892, USA.ORCID 0000-0001-6025-2128

Funding

Supplement request for Cellular mechanotransduction - from the immune response to transcriptional regulationR35GM145313 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI Arpita Upadhyaya · 2022 to 2026
$2.0M
NCI NIH HHS HHSN261201500003CNCI NIH HHS HHSN261201500003INIGMS NIH HHS R35 GM145313
6 · The paper itself

Abstract

Linking the spatiotemporal dynamics of proteins in live cells to physiological functions is a fundamental challenge in biology and robust quantification of protein dynamics is a major step towards this endeavor. Single molecule tracking (SMT) has emerged as a powerful technique to investigate protein dynamics at the single molecule level in living cells. Most SMT analyses require familiarity with biophysical models and programming and the results from different analyses cannot be easily integrated. To mitigate these shortcomings, we developed QuantiTrack - a MATLAB-based SMT analysis software that can be operated from a simple graphical user interface. This provides a much-needed end-to-end solution where a user can load a movie, track single molecules, and perform a range of analyses. In addition to a detailed user guide with step-by-step instructions, QuantiTrack includes quality control metrics that can be used to systematically determine tracking parameters. As a practical example, we address by QuantiTrack a question relevant to hormonal therapy: How does the glucocorticoid receptor (GR), a hormone-regulated transcription factor (TF), respond to treatment and washout of its cognate hormone. Hormone washout results in rapid (in minutes) downregulation of GR target genes to basal levels. We observe dynamics of the Halo tagged GR (Halo-GR) and by integrating several analyses, show that hormone washout results in a substantially lower bound fraction of GR, reduced occupancy in the mobility state associated with GR activation, and shorter GR dwell times. These analyses showcase QuantiTrack as a convenient tool for comprehensive SMT analysis for a wide range of biologists.

Identifiers

PMID41756840
PMCPMC12934656

What OpenQuestion holds

Textmetadata
LicenceCC0
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.