Evidence map›Paper›PMID 26857546›Full record

ArticleNucleic acids research2016

Molecular sled sequences are common in mammalian proteins.

Kan Xiong, Paul C Blainey

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. 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
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Sliding on DNA: From Peptides to Small Molecules.Angewandte Chemie (International ed. in English) · 2016
    Article
  9. 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 at 1 institution in 1 country.

Kan XiongBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA Department of Biological Engineering, MIT, Cambridge, MA 02142, USA.
Paul C BlaineyBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA Department of Biological Engineering, MIT, Cambridge, MA 02142, USA pblainey@mit.edu.
IIT@MIT · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent work revealed a new class of molecular machines called molecular sleds, which are small basic molecules that bind and slide along DNA with the ability to carry cargo along DNA. Here, we performed biochemical and single-molecule flow stretching assays to investigate the basis of sliding activity in molecular sleds. In particular, we identified the functional core of pVIc, the first molecular sled characterized; peptide functional groups that control sliding activity; and propose a model for the sliding activity of molecular sleds. We also observed widespread DNA binding and sliding activity among basic polypeptide sequences that implicate mammalian nuclear localization sequences and many cell penetrating peptides as molecular sleds. These basic protein motifs exhibit weak but physiologically relevant sequence-nonspecific DNA affinity. Our findings indicate that many mammalian proteins contain molecular sled sequences and suggest the possibility that substantial undiscovered sliding activity exists among nuclear mammalian proteins.

Indexed as

Amino Acid SequenceAnimalsBacteriophage lambdaBiological AssayBiotinCell-Penetrating PeptidesDNA, FungalMammalsMolecular Sequence DataNuclear ProteinsPeptide FragmentsProtein BindingRheologyStatic ElectricityStreptavidinViral ProteinsBiotinCell-Penetrating PeptidesDNA, Fungalglycyl-valyl-glutaminyl-seryl-leucyl-lysyl-arginyl-arginyl-arginyl-cysteinyl-phenylalanineNuclear ProteinsPeptide FragmentsStreptavidinViral Proteins

Identifiers

PMID26857546
PMCPMC4797294
OpenAlexW2267460135

What OpenQuestion holds

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LicenceCC BY-NC
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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.