Evidence map›Paper›PMID 28369551›Full record

ArticleNucleic acids research2017

A novel excision selection method for isolation of antibodies binding antigens expressed specifically by rare cells in tissue sections.

Simon Lykkemark, Ole Aalund Mandrup, Mads Bjørnkjær Jensen, Jesper Just, Peter Kristensen

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 1 institution in 1 country.

Simon LykkemarkDepartment of Clinical Medicine, Aarhus University, Nørrebrogade 44, 8000 Aarhus C, Denmark.
Ole Aalund MandrupDepartment of Engineering, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Denmark.
Mads Bjørnkjær JensenDepartment of Engineering, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Denmark.
Jesper JustDepartment of Molecular Biology and Genetics, Gustav Wieds Vej 10, 8000 Aarhus C, Denmark.
Peter KristensenDepartment of Engineering, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Denmark.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing appreciation of single cell technologies to provide increased biological insight and allow development of improved therapeutics. The central dogma explains why single cell technologies is further advanced in studies targeting nucleic acids compared to proteins, as nucleic acid amplification makes experimental detection possible. Here we describe a novel method for single round phage display selection of antibody fragments from genetic libraries targeting antigens expressed by rare cells in tissue sections. We present and discuss the results of two selections of antibodies recognizing antigens expressed by perivascular cells surrounding capillaries located in a human brain section; with the aim of identifying biomarkers expressed by pericytes. The area targeted for selection was identified by a known biomarker and morphological appearance, however in situ hybridizations to nucleic acids can also be used for the identification of target cells. The antibody selections were performed directly on the tissue sections followed by excision of the target cells using a glass capillary attached to micromanipulation equipment. Antibodies bound to the target cells were characterized using ELISA, immunocytochemistry and immunohistochemistry. The described method will provide a valuable tool for the discovery of novel biomarkers on rare cells in all types of tissues.

Indexed as

Antibody SpecificityAntigensCells, CulturedCerebral CortexGene ExpressionHumansImmunoglobulin FragmentsPeptide LibrarySingle-Cell AnalysisAntigensImmunoglobulin FragmentsPeptide Library

Identifiers

PMID28369551
PMCPMC5499801
OpenAlexW2599214495

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.