Evidence map›Paper›PMID 16913765›Full record

ArticleThe journal of physical chemistry. B2006

Hidden Markov model analysis of multichromophore photobleaching.

Troy C Messina, Hiyun Kim, Jason T Giurleo, David S Talaga

Open access · greenAbstract readComparative Study
In one paragraph

Article in The journal of physical chemistry. B, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-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

23 citing papers in PubMed, 47 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

4 authors at 1 institution in 1 country.

Troy C MessinaDepartment of Chemistry and Chemical Biology and BioMaPS Institute, Rutgers, the State University of New Jersey, Piscataway, New Jersey 08854, USA.
Hiyun Kim
Jason T Giurleo
David S Talaga
Rutgers, The State University of New Jersey · US

Funding

New statistical tools for single molecule experimentsR01GM071684 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI TALAGA, DAVID S · 2004 to 2010
$1.2M
Function and Conformation in Glucose Binding ProteinF32GM072328 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MESSINA, TROY C · 2004 to 2006
$142k
NIGMS NIH HHS F32 GM072328NIGMS NIH HHS F32GM072328NIGMS NIH HHS R01 GM071684NIGMS NIH HHS R01GM071684
6 · The paper itself

Abstract

The interpretation of single-molecule measurements is greatly complicated by the presence of multiple fluorescent labels. However, many molecular systems of interest consist of multiple interacting components. We investigate this issue using multiply labeled dextran polymers that we intentionally photobleach to the background on a single-molecule basis. Hidden Markov models allow for unsupervised analysis of the data to determine the number of fluorescent subunits involved in the fluorescence intermittency of the 6-carboxy-tetramethylrhodamine labels by counting the discrete steps in fluorescence intensity. The Bayes information criterion allows us to distinguish between hidden Markov models that differ by the number of states, that is, the number of fluorescent molecules. We determine information-theoretical limits and show via Monte Carlo simulations that the hidden Markov model analysis approaches these theoretical limits. This technique has resolving power of one fluorescing unit up to as many as 30 fluorescent dyes with the appropriate choice of dye and adequate detection capability. We discuss the general utility of this method for determining aggregation-state distributions as could appear in many biologically important systems and its adaptability to general photometric experiments.

Indexed as

Markov ChainsModels, BiologicalMonte Carlo MethodPhotobleachingChromogenic CompoundsDextransFluorescent DyesModels, StatisticalRhodamines6-carboxytetramethylrhodamineChromogenic CompoundsDextransFluorescent DyesRhodamines

Identifiers

PMID16913765
PMCPMC1995553
OpenAlexW1975395870

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.