Evidence map›Paper›PMID 22735947›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2012

Yeast display of engineered antibody domains.

Qi Zhao, Zhongyu Zhu, Dimiter S Dimitrov

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2012. 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
5.5field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Applications of Yeast Surface Display for Protein Engineering.Methods in molecular biology (Clifton, N.J.) · 2015
    Review
  10. Review
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.

Qi ZhaoProtein Interactions Group, Center for Cancer Research Nanobiology Program, National Cancer Institute, National Institutes of Health, Frederick, MD, USA.
Zhongyu Zhu
Dimiter S Dimitrov
National Institutes of Health · USNational Cancer Institute · US

Funding

Human Monoclonal Antibodies Against CancerZIABC010701 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DIMITROV, DIMITER S · 2009 to 2017
$6.9M
Human Monoclonal Antibodies and Antibody-Guided NanoparticlesZ01BC010701 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DIMITROV, DIMITER S · 2006 to 2008
$2.6M
Antibody therapeutics against biodefense-related diseasesZIABC011156 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DIMITROV, DIMITER S · 2009 to 2017
$2.4M
Viral Envelope Glycoprotein Interactions with ReceptorsZ01BC010257 · BC · BASIC SCIENCES · PI DIMITROV, DIMTER S. · 1996 to 2005
–
Intramural NIH HHS Z01 BC010257Intramural NIH HHS Z01 BC010701
6 · The paper itself

Abstract

Yeast display is an efficient technology for selection of antibodies and other proteins with high affinity and thermal stability. Here, we describe a method for affinity maturation of engineered antibody domains (eAds) using yeast display. EAd yeast libraries of relatively large size (∼10⁹) were generated and subjected to alternating rounds of magnetic-activated cell sorting (MACS), fluorescent-activated cell sorting (FACS), and random mutagenesis. The highest affinity clones from the final round of maturation were identified and analyzed. We discuss extensively each key step, and provide detailed protocols and helpful notes.

Indexed as

Flow CytometryGene LibraryAntibodiesAntibody AffinityGenetic VectorsHumansMutagenesisPeptide LibraryProtein EngineeringYeastsAntibodiesPeptide Library

Identifiers

PMID22735947
PMCPMC6957256
OpenAlexW2411581368

What OpenQuestion holds

Textmetadata
LicenceTDM
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.