Evidence map›Paper›PMID 22391673›Full record

ReviewCellular and molecular life sciences : CMLS2012

Life on a microarray: assessing live cell functions in a microarray format.

Krisztián Papp, Zoltán Szittner, József Prechl

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2012. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Living Cell Microarrays: An Overview of Concepts.Microarrays (Basel, Switzerland) · 2016
    Review
  3. Article
  4. Review
  5. Article
  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.

Krisztián PappImmunology Research Group, Hungarian Academy of Sciences, MTA-ELTE, Pázmány P.s. 1/C, Budapest 1117, Hungary. pkrisz5@gmail.com
Zoltán Szittner
József Prechl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarray technology outgrew the detection of simple intermolecular interactions, as incubation of slides with living cells opened new vistas. Cell-based array technology permits simultaneous detection of several different cell surface molecules, allowing the complex characterization of cells with an amount of information that is hardly assessed by any other technique. Furthermore, binding of cells to printed antibodies or ligands may induce their activation, and consequently the outcome of these interactions, such as phosphorylation, gene expression, secretion of various products; differentiation, proliferation and apoptosis of the cells are also measurable on arrays. Moreover, since cells can be transfected with printed vectors, over- or under-expression of selected genes is also achievable simultaneously, creating a nice tool for assessing the function of a given gene. The enormously high-throughput cell-based microarray technology enables testing the effect of external stimuli on a scale that was earlier unthinkable. This review summarizes the possible applications of cell-based arrays.

Indexed as

Cell Physiological PhenomenaHigh-Throughput Screening AssaysOligonucleotide Array Sequence AnalysisAnimalsDrug Evaluation, PreclinicalHumansTissue Array Analysis

Identifiers

PMID22391673
PMCPMC11115177

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.