Evidence map›Paper›PMID 30104419›Full record

ArticleMolecular systems biology2018

Unraveling mitotic protein networks by 3D multiplexed epitope drug screening.

Lorenz J Maier, Stefan M Kallenberger, Katharina Jechow, Marcel Waschow, Roland Eils, Christian Conrad

Abstract read
In one paragraph

Article in Molecular systems biology, 2018. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Lorenz J MaierCenter for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-0004-6450
Stefan M KallenbergerCenter for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), Heidelberg University, Heidelberg, Germany.
Katharina JechowDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Marcel WaschowDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Roland EilsCenter for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), Heidelberg University, Heidelberg, Germany r.eils@dkfz.de c.conrad@dkfz.de.ORCID 0000-0002-0034-4036
Christian ConradCenter for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), Heidelberg University, Heidelberg, Germany r.eils@dkfz.de c.conrad@dkfz.de.ORCID 0000-0001-7036-342X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional protein localization intricately determines the functional coordination of cellular processes. The complex spatial context of protein landscape has been assessed by multiplexed immunofluorescent staining or mass spectrometry, applied to 2D cell culture with limited physiological relevance or tissue sections. Here, we present 3D SPECS, an automated technology for 3D Spatial characterization of Protein Expression Changes by microscopic Screening. This workflow comprises iterative antibody staining, high-content 3D imaging, and machine learning for detection of mitoses. This is followed by mapping of spatial protein localization into a spherical, cellular coordinate system, a basis for model-based prediction of spatially resolved affinities of proteins. As a proof-of-concept, we mapped twelve epitopes in 3D-cultured spheroids and investigated the network effects of twelve mitotic cancer drugs. Our approach reveals novel insights into spindle fragility and chromatin stress, and predicts unknown interactions between proteins in specific mitotic pathways. 3D SPECS's ability to map potential drug targets by multiplexed immunofluorescence in 3D cell culture combined with our automated high-content assay will inspire future functional protein expression and drug assays.

Indexed as

Drug Screening Assays, AntitumorCell Line, TumorDrug Evaluation, PreclinicalEpitopesGene Expression RegulationHigh-Throughput Screening AssaysHumansMitosisProteinsEpitopesProteinscell profilingmitosis modelingmultiplexed immunostainingprotein–protein interactions

Identifiers

PMID30104419
PMCPMC6088390

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.