Evidence map›Paper›PMID 34975303›Full record

ArticleInternational journal of medical sciences2022

RNA isolation from micro-quantity of articular cartilage for quantitative gene expression by microarray analysis.

Xiaowei Zhang, Trevor J McFarland, Kristina Vartanian, Yong Zhu, Christina A Harrington, Cong-Qiu Chu

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Xiaowei ZhangDivision of Arthritis and Rheumatic Diseases, Oregon Health & Science University, Portland, Oregon 97239.
Trevor J McFarlandGene Profiling Shared Resource, Oregon Health & Science University; Portland, Oregon 97239.
Kristina VartanianGene Profiling Shared Resource, Oregon Health & Science University; Portland, Oregon 97239.
Yong ZhuVivoscript, Inc, P. O. Box 63025, Irvine, CA 92602.
Christina A HarringtonGene Profiling Shared Resource, Oregon Health & Science University; Portland, Oregon 97239.
Cong-Qiu ChuDivision of Arthritis and Rheumatic Diseases, Oregon Health & Science University, Portland, Oregon 97239.
Oregon Health & Science University · USAllscripts (United States) · US

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
BLRD VA I01 BX002858NCI NIH HHS P30 CA069533
6 · The paper itself

Abstract

Isolation of quality RNA from articular cartilage has been challenging due to low cellularity and the high abundance of extracellular matrix and proteoglycan proteins. Recently developed methods for isolation of high quality RNA from cartilage are more applicable to larger cartilage specimens typically weighing at least 25 mg. While these methods generate RNA suitable for analysis, they are less successful with smaller tissue inputs. For the study of small focal defect cartilage specimens an improved RNA extraction method is needed. Here we report a protocol for direct RNA isolation from less than 3 mg of wet weight rabbit articular cartilage for quantitative microarray gene profiling. This protocol is useful for identifying differentially expressed genes in chondrocytes following focal cartilage repair and can potentially be adopted for gene expression analysis of cartilage biopsy specimens from human joints.

Indexed as

Gene ExpressionMicroarray AnalysisAnimalsCartilage, ArticularChondrocytesFemaleRabbitsRNARNAarticular cartilagecartilage repairmicroarrayRNA isolation

Identifiers

PMID34975303
PMCPMC8692110
OpenAlexW4200570715

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.