Evidence map›Paper›PMID 34773084›Full record

ArticleCommunications biology2021

Image-based high-throughput mapping of TGF-β-induced phosphocomplexes at a single-cell level.

Peter Lönn, Rasel A Al-Amin, Ehsan Manouchehri Doulabi, Johan Heldin, Radiosa Gallini, Johan Björkesten, Johan Oelrich, Masood Kamali-Moghaddam, Ulf Landegren

Abstract read
In one paragraph

Article in Communications biology, 2021. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Peter Lönn *Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. peter.loenn@gmail.com.ORCID 0000-0002-2405-9010
Rasel A Al-Amin *Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-0762-9034
Ehsan Manouchehri DoulabiDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-1639-2267
Johan HeldinDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-0915-5303
Radiosa GalliniDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Johan BjörkestenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Johan OelrichDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Masood Kamali-MoghaddamDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-1303-2218
Ulf LandegrenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. ulf.landegren@igp.uu.se.ORCID 0000-0002-7820-1000

Funding

Cancerfonden (Swedish Cancer Society) 19 0384 PjEC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) FP/2007-2013)/ERC Grant Agreement no. 294409Stiftelsen för Strategisk Forskning (Swedish Foundation for Strategic Research) SB16-0046Torsten Söderbergs Stiftelse (Torsten Söderberg Foundation) M130/16Vetenskapsrådet (Swedish Research Council) 2012-5852Vetenskapsrådet (Swedish Research Council) 2017-04152Vetenskapsrådet (Swedish Research Council) 2018-02943Vetenskapsrådet (Swedish Research Council) 2018-06156
6 · The paper itself

Abstract

Protein interactions and posttranslational modifications orchestrate cellular responses to e.g. cytokines and drugs, but it has been difficult to monitor these dynamic events in high-throughput. Here, we describe a semi-automated system for large-scale in situ proximity ligation assays (isPLA), combining isPLA in microtiter wells with automated microscopy and computer-based image analysis. Phosphorylations and interactions are digitally recorded along with subcellular morphological features. We investigated TGF-β-responsive Smad2 linker phosphorylations and complex formations over time and across millions of individual cells, and we relate these events to cell cycle progression and local cell crowding via measurements of DNA content and nuclear size of individual cells, and of their relative positions. We illustrate the suitability of this protocol to screen for drug effects using phosphatase inhibitors. Our approach expands the scope for image-based single cell analyses by combining observations of protein interactions and modifications with morphological details of individual cells at high throughput.

Indexed as

Image Processing, Computer-AssistedProtein Interaction MappingHaCaT CellsHumansPhosphorylationSingle-Cell AnalysisSmad4 ProteinTransforming Growth Factor beta1Smad4 ProteinSMAD4 protein, humanTGFB1 protein, humanTransforming Growth Factor beta1

Identifiers

PMID34773084
PMCPMC8590043

What Socratic 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 Socratic graph.