Evidence map›Paper›PMID 30887273›Full record

ArticleCell and tissue banking2019

A protocol for isolation and identification and comparative characterization of primary osteoblasts from mouse and rat calvaria.

Baoyan Liu, Yanqin Lu, Yong Wang, Luna Ge, Naixiang Zhai, Jinxiang Han

Abstract read
In one paragraph

Article in Cell and tissue banking, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Baoyan LiuSchool of Medicine and Life Science, Shandong Academy of Medical Sciences, University of Jinan, 18877, Jingshi Road, Jinan, 250012, Shandong, China.
Yanqin LuKey Laboratory for Rare Disease Research of Shandong Province, Shandong Medical Biotechnological Center, Shandong Academy of Medical Sciences, 18877, Jingshi Road, Jinan, 250012, Shandong, China.
Yong WangDepartment of Neurosurgery, Shandong Cancer Hospital affiliated to Shandong University, 440 Jiyan Road, Jinan, 250114, Shandong, China.
Luna GeKey Laboratory for Rare Disease Research of Shandong Province, Shandong Medical Biotechnological Center, Shandong Academy of Medical Sciences, 18877, Jingshi Road, Jinan, 250012, Shandong, China.
Naixiang ZhaiSchool of Medicine and Life Science, Shandong Academy of Medical Sciences, University of Jinan, 18877, Jingshi Road, Jinan, 250012, Shandong, China.
Jinxiang HanKey Laboratory for Rare Disease Research of Shandong Province, Shandong Medical Biotechnological Center, Shandong Academy of Medical Sciences, 18877, Jingshi Road, Jinan, 250012, Shandong, China. doctorwy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calvaria from neonatal mouse and rat is ideal resource for osteoblasts but can be easily contaminated by other cells such as fibroblasts. Here, we established a protocol for isolation and purification of primary osteoblast by enzyme sequential digestion and differential adhesion. In addition, we compared the phenotypic and functional traits of osteoblasts from mouse and rat which are commonly employed in studies. The method applied equally to rat and mouse in osteoblasts isolation and was corroborated its feasibility and validity. The results also provided us evidences for other experiments such as choosing a certain time point to give intervention and do the relevant tests.

Indexed as

AnimalsCell AdhesionCell ProliferationCell SeparationMiceOsteoblastsRatsSkullCalvariaComparativeMouseOsteoblastRat

Identifiers

PMID30887273
PMCPMC6556159

What OpenQuestion holds

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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.