Evidence map›Paper›PMID 32494857›Full record

ArticleBiomedical microdevices2020

Covalent immobilization of luminescent oxygen indicators reduces cytotoxicity.

Hannu Välimäki, Tanja Hyvärinen, Joni Leivo, Haider Iftikhar, Mari Pekkanen-Mattila, Dhanesh Kattipparambil Rajan, Jarmo Verho, Joose Kreutzer, Tomi Ryynänen, Jonatan Pirhonen and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Biomedical microdevices, 2020. 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
0.8field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Oxygen gradient generator to improveFrontiers in neuroscience · 2023
    Article
  3. Review
  4. Article
  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

14 authors at 2 institutions in 1 country.

Hannu VälimäkiFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland. hannu.valimaki@tuni.fi.ORCID 0000-0002-9611-1711
Tanja HyvärinenFaculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Joni LeivoFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Haider IftikharFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Mari Pekkanen-MattilaFaculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Dhanesh Kattipparambil RajanFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Jarmo VerhoFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Joose KreutzerFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Tomi RyynänenFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Jonatan PirhonenFaculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Katriina Aalto-SetäläFaculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Pasi KallioFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Susanna NarkilahtiFaculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Jukka LekkalaFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, 33720, Tampere, Finland.
Tampere University · FITampere University of Applied Sciences · FI

Funding

Academy of Finland 311017,311021,311022Tekes 40332/14
6 · The paper itself

Abstract

Luminescence-based oxygen sensing is a widely used tool in cell culture applications. In a typical configuration, the luminescent oxygen indicators are embedded in a solid, oxygen-permeable matrix in contact with the culture medium. However, in sensitive cell cultures even minimal leaching of the potentially cytotoxic indicators can become an issue. One way to prevent the leaching is to immobilize the indicators covalently into the supporting matrix. In this paper, we report on a method where platinum(II)-5,10,15,20-tetrakis-(2,3,4,5,6-pentafluorphenyl)-porphyrin (PtTFPP) oxygen indicators are covalently immobilized into a polymer matrix consisting of polystyrene and poly(pentafluorostyrene). We study how the covalent immobilization influences the sensing material's cytotoxicity to human induced pluripotent stem cell-derived (hiPSC-derived) neurons and cardiomyocytes (CMs) through 7-13 days culturing experiments and various viability analyses. Furthermore, we study the effect of the covalent immobilization on the indicator leaching and the oxygen sensing properties of the material. In addition, we demonstrate the use of the covalently linked oxygen sensing material in real time oxygen tension monitoring in functional hypoxia studies of the hiPSC-derived CMs. The results show that the covalently immobilized indicators substantially reduce indicator leaching and the cytotoxicity of the oxygen sensing material, while the influence on the oxygen sensing properties remains small or nonexistent.

Indexed as

Induced Pluripotent Stem CellsLuminescent AgentsMyocytes, CardiacNeuronsOxygenPorphyrinsLuminescent AgentsOxygenPorphyrinsCovalently immobilized indicatorshiPSC-derived neurons and cardiomyocytesHuman induced pluripotent stem cell-derived cellsLuminescent-based oxygen sensingPtTFPP cytotoxicity

Identifiers

PMID32494857
PMCPMC7270993
OpenAlexW3032736679

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.