Evidence map›Paper›PMID 21785128›Full record

ArticleJournal of biochemistry2011

Improvement of the crystallizability and expression of an RNA crystallization chaperone.

Priyadarshini P Ravindran, Annie Héroux, Jing-Dong Ye

Open access · greenAbstract read
In one paragraph

Article in Journal of biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Detecting and comparing non-coding RNAs in the high-throughput era.International journal of molecular sciences · 2013
    Review
  6. 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

3 authors at 2 institutions in 1 country.

Priyadarshini P RavindranDepartment of Chemistry, University of Central Florida, Orlando, FL 32816, USA.
Annie Héroux
Jing-Dong Ye
University of Central Florida · USBrookhaven National Laboratory · US

Funding

Targeting oncogenic RNAs with antibodiesR21CA175625 · NCI · UNIVERSITY OF CENTRAL FLORIDA · PI KOCULI, EDA · 2014 to 2015
$302k
NCI NIH HHS R21 CA175625
6 · The paper itself

Abstract

Crystallizing RNA has been an imperative and challenging task in the world of RNA research. Assistive methods such as chaperone-assisted RNA crystallography (CARC), employing monoclonal antibody fragments (Fabs) as crystallization chaperones have enabled us to obtain RNA crystal structures by forming crystal contacts and providing initial phasing information. Despite the early successes, the crystallization of large RNA-Fab complex remains a challenge in practice. The possible reason for this difficulty is that the Fab scaffold has not been optimized for crystallization in complex with RNA. Here, we have used the surface entropy reduction (SER) technique for the optimization of ΔC209 P4-P6/Fab2 model system. Protruding lysine and glutamate residues were mutated to a set of alanines or serines to construct Fab2SMA or Fab2SMS. Expression with the shake flask approach was optimized to allow large scale production for crystallization. Crystal screening shows that significantly higher crystal-forming ratio was observed for the mutant complexes. As the chosen SER residues are far away from the CDR regions of the Fab, the same set of mutations can now be directly applied to other Fabs binding to a variety of ribozymes and riboswitches to improve the crystallizability of Fab-RNA complex.

Indexed as

CrystallizationCrystallographyImmunoglobulin Fab FragmentsProtein EngineeringRNAImmunoglobulin Fab FragmentsRNA

Identifiers

PMID21785128
PMCPMC4351424
OpenAlexW2018577100

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.