Evidence map›Paper›PMID 15699567›Full record

ArticleMolecular biotechnology2005

In situ isolation of immunoglobulin sequences expressed by single tumor-infiltrating B cells using laser-assisted microdissection.

Philippa M O'Brien, David W M Millan, Jonathon A Davis, M Saveria Campo

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Philippa M O'BrienInstitute of Comparative Medicine, University of Glasgow Veterinary School, Glasgow G61 1QH, UK.
David W M Millan
Jonathon A Davis
M Saveria Campo
NHS Greater Glasgow and Clyde · GBUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The isolation of fully human monoclonal antibodies (MAb) against tumor targets has to date relied largely on combinatorial library-based antibody display techniques, which generally require lengthy antigen selection procedures due to a low frequency of clones expressing compatible heavy (VH) and light chain (VL) variable genes. Here we describe a method to directly isolate immunoglobulin sequences in situ from antibody-producing cells infiltrating human tumor tissue. Single B cells and plasma cells infiltrating cervical cancer were microdissected from tissue sections using laser-assisted microscopy, and VH and VL expressed by each individual cell amplified using nested reverse transcriptase- polymerase chain reaction (RT-PCR), thus retaining the native VH and VL pairing. Sequencing analysis determined that the isolated cells expressed functional immunoglobulin variable genes, consistent with an antitumor antibody response. The immunoglobulin sequences can be reassembled as Fab or scFv fragments using conventional recombinant antibody expression plasmids. This method will allow a more direct assessment of the humoral immune response to cancer, and the potential identification of novel human therapeutic cancer antibodies.

Indexed as

Antibodies, MonoclonalB-LymphocytesCells, CulturedCell SeparationFemaleHumansImmunoglobulin FragmentsLasersLymphocytes, Tumor-InfiltratingMicrodissectionPolymerase Chain ReactionProtein EngineeringSequence Analysis, ProteinTumor Cells, CulturedUterine Cervical NeoplasmsAntibodies, MonoclonalImmunoglobulin Fragments

Identifiers

PMID15699567
OpenAlexW1987208642

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.