Evidence map›Paper›PMID 36337275›Full record

ReviewUpsala journal of medical sciences2022

Molecular tools to monitor health and disease - and lucky coincidences.

Ulf Landegren

Abstract readReview
In one paragraph

Review in Upsala journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ulf LandegrenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved methods for molecular analyses are obviously central for medical research. I will describe herein our work developing tools to reveal molecular states in health and disease. I will recount how I got started in this endeavor, and how our early work characterizing genetic variation led onto high-throughput protein measurements and to techniques for imaging the distribution of proteins and their activity states in tissues. I will also describe a more recent technique to measure even exceedingly rare genetic variants in order to monitor recurrence of disease for tumor patients.

Indexed as

Protein Interaction MappingProteinsHumansProteinscareercommercializationgenome projectin situ PLAmolecular geneticsPadlock probespatentproximity extensionproximity ligationsuperRCAsynthetic oligonucleotides

Identifiers

PMID36337275
PMCPMC9602189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.