Evidence map›Paper›PMID 34026984›Full record

ArticleData in brief2021

Cell lines and clearing approaches: a single-cell level 3D light-sheet fluorescence microscopy dataset of multicellular spheroids.

Akos Diosdi, Dominik Hirling, Maria Kovacs, Timea Toth, Maria Harmati, Krisztian Koos, Krisztina Buzas, Filippo Piccinini, Peter Horvath

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. OPTIMAL: An OPTimized Imaging Mass cytometry AnaLysis framework for benchmarking segmentation and data exploration.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Article
  5. Article
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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 at 4 institutions in 3 countries.

Akos DiosdiSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Dominik HirlingSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Maria KovacsSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Timea TothSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Maria HarmatiSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Krisztian KoosSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Krisztina BuzasSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
Filippo PiccininiIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via Piero Maroncelli 40, I-47014 Meldola (FC), Italy.
Peter HorvathSynthetic and Systems Biology Unit, Biological Research Centre (BRC), H-6726 Szeged, Hungary.
HUN-REN Szegedi Biológiai Kutatóközpont · HUUniversity of Szeged · HUInstitute for Molecular Medicine Finland · FIIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, three dimensional (3D) cell cultures are widely used in the biological laboratories and several optical clearing approaches have been proposed to visualize individual cells in the deepest layers of cancer multicellular spheroids. However, defining the most appropriate clearing approach for the different cell lines is an open issue due to the lack of a gold standard quantitative metric. In this article, we describe and share a single-cell resolution 3D image dataset of human carcinoma spheroids imaged using a light-sheet fluorescence microscope. The dataset contains 90 multicellular cancer spheroids derived from 3 cell lines (i.e. T-47D, 5-8F, and Huh-7D12) and cleared with 5 different protocols, precisely Clear

Indexed as

3D image datasetCarcinoma cell linesLight-sheet fluorescence microscopyMulticellular spheroidsOptical tissue clearing

Identifiers

PMID34026984
PMCPMC8134717
OpenAlexW3158835143

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.