Evidence map›Paper›PMID 28870226›Full record

ArticleGenome biology2017

BayFish: Bayesian inference of transcription dynamics from population snapshots of single-molecule RNA FISH in single cells.

Mariana Gómez-Schiavon, Liang-Fu Chen, Anne E West, Nicolas E Buchler

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 64 citations in OpenAlex.

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  6. Sequential design of single-cell experiments to identify discrete stochastic models for gene expression.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2024
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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

4 authors at 1 institution in 1 country.

Mariana Gómez-SchiavonProgram in Computational Biology & Bioinformatics, Duke University, Durham, NC, USA.
Liang-Fu ChenDepartment of Neurobiology, Duke University, Durham, NC, USA.
Anne E WestDepartment of Neurobiology, Duke University, Durham, NC, USA. west@neuro.duke.edu.
Nicolas E BuchlerDepartment of Biology, Duke University, Durham, NC, USA. nicolas.buchler@duke.edu.ORCID 0000-0003-3940-3432
Duke University · US

Funding

Rewiring the yeast brain: Redundancy and interference in genetic networksDP2OD008654 · OD · DUKE UNIVERSITY · PI BUCHLER, NICOLAS EMILE · 2011 to 2011
$2.4M
In Vivo Epigenome Editing with CRISPR-Based Histone Acetyltransferase Transgenic MiceR21DA041878 · NIDA · DUKE UNIVERSITY · PI GERSBACH, CHARLES A., WEST, ANNE ELIZABETH · 2016 to 2017
$392k
NIDA NIH HHS R21 DA041878NIH HHS DP2 OD008654
6 · The paper itself

Abstract

Single-molecule RNA fluorescence in situ hybridization (smFISH) provides unparalleled resolution in the measurement of the abundance and localization of nascent and mature RNA transcripts in fixed, single cells. We developed a computational pipeline (BayFish) to infer the kinetic parameters of gene expression from smFISH data at multiple time points after gene induction. Given an underlying model of gene expression, BayFish uses a Monte Carlo method to estimate the Bayesian posterior probability of the model parameters and quantify the parameter uncertainty given the observed smFISH data. We tested BayFish on synthetic data and smFISH measurements of the neuronal activity-inducible gene Npas4 in primary neurons.

Indexed as

In Situ Hybridization, FluorescenceSoftwareAnimalsBasic Helix-Loop-Helix ProteinsBayes TheoremCells, CulturedComputational BiologyFemaleMaleMiceModels, GeneticNeuronsProbabilityRNAStochastic ProcessesTranscription, GeneticBasic Helix-Loop-Helix ProteinsNpas4 protein, mouseRNABayesian posterior probabilityChemical master equationGene expressionLikelihood methodsMonte Carlo samplingStochastic process

Identifiers

PMID28870226
PMCPMC5582403
OpenAlexW2952685709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.