Evidence map›Paper›PMID 24919057›Full record

ArticleJournal of the American Chemical Society2014

Effects of crowding on the stability of a surface-tethered biopolymer: an experimental study of folding in a highly crowded regime.

Herschel M Watkins, Anna J Simon, Francesco Ricci, Kevin W Plaxco

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Surface Attachment Enhances the Thermodynamic Stability of Protein L.Angewandte Chemie (International ed. in English) · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

Herschel M WatkinsInterdepartmental Program in Biomolecular Science and Engineering, University of California at Santa Barbara , Santa Barbara, California 93106, United States.
Anna J Simon
Francesco Ricci
Kevin W Plaxco

Funding

A new tool for measuring surface-biomolecule interactionsR21EB018617 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2014 to 2015
$409k
NIBIB NIH HHS R21 EB018617NIBIB NIH HHS R21EB018617
6 · The paper itself

Abstract

The high packing densities and fixed geometries with which biomolecules can be attached to macroscopic surfaces suggest that crowding effects may be particularly significant under these often densely packed conditions. Exploring this question experimentally, we report here the effects of crowding on the stability of a simple, surface-attached DNA stem-loop. We find that crowding by densely packed, folded biomolecules destabilizes our test-bed biomolecule by ~2 kJ/mol relative to the dilute (noninteracting) regime, an effect that presumably occurs due to steric and electrostatic repulsion arising from compact neighbors. Crowding by a dense brush of unfolded biomolecules, in contrast, enhances its stability by ~6 kJ/mol, presumably due to excluded volume and electrostatic effects that reduce the entropy of the unfolded state. Finally, crowding by like copies of the same biomolecule produces a significantly broader unfolding transition, likely because, under these circumstances, the stabilizing effects of crowding by unfolded molecules increase (and the destabilizing effects of neighboring folded molecules decrease) as more and more neighbors unfold. The crowding of surface-attached biomolecules may thus be a richer, more complex phenomenon than that seen in homogeneous solution.

Indexed as

BiopolymersDNASurface PropertiesThermodynamicsBiopolymersDNA

Identifiers

PMID24919057
PMCPMC4091282

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.