Evidence map›Paper›PMID 32859006›Full record

ArticleMethods and protocols2020

Optimization of a Method for the Simultaneous Extraction of Polar and Non-Polar Oxylipin Metabolites, DNA, RNA, Small RNA, and Protein from a Single Small Tissue Sample.

Yu Hasegawa, Yurika Otoki, Shannon McClorry, Laurynne C Coates, Rachel L Lombardi, Ameer Y Taha, Carolyn M Slupsky

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 19 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

7 authors at 2 institutions in 2 countries.

Yu HasegawaDepartment of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
Yurika OtokiDepartment of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
Shannon McClorryDepartment of Nutrition, University of California-Davis, Davis, CA 95616, USA.ORCID 0000-0003-0083-9626
Laurynne C CoatesDepartment of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
Rachel L LombardiDepartment of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
Ameer Y TahaDepartment of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
Carolyn M SlupskyDepartment of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
University of California, Davis · USTohoku University · JP

Funding

NIH HHS ESO28129NIH HHS HD084203U.S. Department of Agriculture 1021411
6 · The paper itself

Abstract

A more comprehensive picture of tissue biology can be obtained through the application and integration of multiple omic technologies. However, the common challenge in working with a precious sample is having a sample too small to separately extract analytes of interest for each experiment. Considering the high heterogeneity that can be present in a single tissue sample, extracting all biomolecules from a single and undivided tissue is preferable because it allows direct comparison of results. Here, we combined a modified Folch extraction method with DNA, RNA, small RNA, and protein extraction using two commercial kits, which allowed us to extract polar metabolites and non-polar oxylipin metabolites, DNA, RNA, small RNA, and protein simultaneously from a small tissue sample. The method was validated in terms of quantity and quality of analytes for downstream analyses.

Indexed as

analytical chemistryDNAextractionmetabolitesmolecular biologyproteinpurificationRNAsystems biologytissue

Identifiers

PMID32859006
PMCPMC7564281
OpenAlexW3081365734

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.