Evidence map›Paper›PMID 33877608›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Analysis of Protein-DNA Interactions Using Surface Plasmon Resonance and a ReDCaT Chip.

Clare E M Stevenson, David M Lawson

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Perception of structurally distinct effectors by the integrated WRKY domain of a plant immune receptor.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

2 authors.

Clare E M StevensonDepartment of Biological Chemistry, John Innes Centre, Norwich Research Park, Norwich, UK. clare.stevenson@jic.ac.uk.
David M LawsonDepartment of Biological Chemistry, John Innes Centre, Norwich Research Park, Norwich, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/P012523/1
6 · The paper itself

Abstract

The recognition of specific DNA sequences by proteins is crucial to fundamental biological processes such as DNA replication, transcription, and gene regulation. The technique of surface plasmon resonance (SPR) is ideally suited for the measurement of these interactions because it is quantitative, simple to implement, reproducible, can be automated, and requires very little sample. This typically involves the direct capture of biotinylated DNA to a streptavidin (SA) chip before flowing over the protein of interest and monitoring the interaction. However, once the DNA has been immobilized on the chip, it cannot be removed without damaging the chip surface. Moreover, if the protein-DNA interaction is strong, then it may not be possible to remove the protein from the DNA without damaging the chip surface. Given that the chips are costly, this will limit the number of samples that can be tested. Therefore, we have developed a Reusable DNA Capture Technology, or ReDCaT chip, that enables a single streptavidin chip to be used multiple times making the technique simple, quick, and cost effective. The general steps to prepare the ReDCaT chip, run a simple binding experiment, and analysis of data will be described in detail. Some additional applications will also be introduced.

Indexed as

Binding SitesBiotinDNADNA-Binding ProteinsProtein Array AnalysisStreptavidinSurface Plasmon ResonanceBiotinDNADNA-Binding ProteinsStreptavidinAffinityBindingDNAKineticsProteinReusableSPR

Identifiers

What OpenQuestion holds

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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.