Evidence map›Paper›PMID 35005256›Full record

ArticleBiochemistry and biophysics reports2022

Slow diffusion on the monolayer culture enhances auto/paracrine effects of Noggin in differentiation of human iPS cells induced by BMP.

Eri Nakatani, Riho Okajima, Kiyoshi Ohnuma

Open access · goldAbstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Eri NakataniDepartment of Science of Technology Innovation, Nagaoka University of Technology, 1603-1, Kamitomioka-machi, Nagaoka, 940-2188, Japan.
Riho OkajimaDepartment of Bioengineering, Nagaoka University of Technology, 1603-1, Kamitomioka-machi, Nagaoka, 940-2188, Japan.
Kiyoshi OhnumaDepartment of Science of Technology Innovation, Nagaoka University of Technology, 1603-1, Kamitomioka-machi, Nagaoka, 940-2188, Japan.
Nagaoka University of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auto/paracrine factors secreted from cells affect differentiation of human pluripotent stem cells (hPSCs). However, the molecular mechanisms underlying the role of secreted factors are not well known. We previously showed that pattern formation in hPSCs induced by BMP4 could be reproduced by a simple reaction-diffusion of BMP and Noggin, a cell-secreted BMP4 inhibitor. However, the amount of Noggin secreted is unknown. In this study, we measured the concentration of Noggin secreted during the differentiation of hPSCs induced by BMP4. The Noggin concentration in the supernatant before and after differentiation was constant at approximately 0.69 ng/mL, which is approximately 50-200 times less than expected in the model. To explain the difference between the experiment and model, we assumed that macromolecules such as heparan sulfate proteoglycan on the cell surface act as a diffusion barrier structure, where the diffusion slows down to 1/400. The model with the diffusion barrier structure reduced the Noggin concentration required to suppress differentiation in the static culture model. The model also qualitatively reproduced the pattern formation, in which only the upstream but not the downstream hPSCs were differentiated in a one-directional perfusion culture chamber, with a small change in the amount of secreted Noggin resulting in a large change in the differentiation position. These results suggest that the diffusion barrier on the cell surface might enhance the auto/paracrine effects on monolayer hPSC culture.

Indexed as

BMP4BMP, bone morphogenic proteinHeparan sulfate proteoglycanhPSCs, human pluripotent stem cellsHSPG, heparan sulfate proteoglycanNoggin secretionPattern formationReaction-diffusion

Identifiers

PMID35005256
PMCPMC8717143
OpenAlexW4200119187

What Socratic holds

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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 Socratic graph.