Evidence map›Paper›PMID 29658275›Full record

ArticleNano letters2018

Quantifying Reversible Surface Binding via Surface-Integrated Fluorescence Correlation Spectroscopy.

Jonas Mücksch, Philipp Blumhardt, Maximilian T Strauss, Eugene P Petrov, Ralf Jungmann, Petra Schwille

Abstract read
In one paragraph

Article in Nano letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Nano letters · 2020
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  8. Article
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  10. Review
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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

6 authors.

Jonas MückschMax Planck Institute of Biochemistry , 82152 Martinsried , Germany.ORCID 0000-0002-1469-6956
Philipp BlumhardtMax Planck Institute of Biochemistry , 82152 Martinsried , Germany.
Maximilian T StraussMax Planck Institute of Biochemistry , 82152 Martinsried , Germany.
Eugene P PetrovMax Planck Institute of Biochemistry , 82152 Martinsried , Germany.ORCID 0000-0001-7913-8296
Ralf JungmannMax Planck Institute of Biochemistry , 82152 Martinsried , Germany.ORCID 0000-0003-4607-3312
Petra SchwilleMax Planck Institute of Biochemistry , 82152 Martinsried , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a simple and versatile single-molecule-based method for the accurate determination of binding rates to surfaces or surface bound receptors. To quantify the reversible surface attachment of fluorescently labeled molecules, we have modified previous schemes for fluorescence correlation spectroscopy with total internal reflection illumination (TIR-FCS) and camera-based detection. In contrast to most modern applications of TIR-FCS, we completely disregard spatial information in the lateral direction. Instead, we perform correlation analysis on a spatially integrated signal, effectively converting the illuminated surface area into the measurement volume. In addition to providing a high surface selectivity, our new approach resolves association and dissociation rates in equilibrium over a wide range of time scales. We chose the transient hybridization of fluorescently labeled single-stranded DNA to the complementary handles of surface-immobilized DNA origami structures as a reliable and well-characterized test system. We varied the number of base pairs in the duplex, yielding different binding times in the range of hundreds of milliseconds to tens of seconds, allowing us to quantify the respective surface affinities and binding rates.

Indexed as

binding ratesDNA hybridizationDNA-PAINTsurface binding kineticsTotal internal reflection fluorescence correlation spectroscopy (TIR-FCS)

Identifiers

PMID29658275
PMCPMC5946168

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.