Evidence map›Paper›PMID 37119238›Full record

ArticleThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society2023

Improving Yields in Multi-analyte Extractions by Utilizing Post-homogenized Tissue Debris.

Ala Petersons, Joseph Carlson, William Mathieson

Abstract read
In one paragraph

Article in The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society, 2023. 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
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

0 citing papers in PubMed.

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.

Ala PetersonsIntegrated Biobank of Luxembourg, Dudelange, Luxembourg.
Joseph CarlsonKarolinska University Hospital, Radiumhemmet, Stockholm, Sweden.
William MathiesonIntegrated Biobank of Luxembourg, Dudelange, Luxembourg.ORCID 0000-0002-1328-5629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multi-analyte extractions, tissue is typically homogenized in a lysis buffer, and then DNA, RNA, and protein are purified from the supernatant. However, yields are typically lower than in dedicated, single-analyte extractions. In a two-part experiment, we assessed whether yields could be improved by revisiting the normally discarded, post-homogenized tissue debris. We initially performed additional homogenizations, each followed by a simultaneous extraction. These yielded no additional RNA, 13% additional DNA (which became progressively more degraded), and 161.7% additional protein (which changed in proteome when analyzed using SDS-PAGE). We then digested post-homogenized tissue debris from a simultaneous extraction using proteinase K and extracted DNA using silica spin columns or alcohol precipitation. An average additional DNA yield of 27.1% (silica spin columns) or 203.9% (alcohol precipitation) was obtained with/without compromising DNA integrity (assessment by long-range PCR, DNA Integrity Numbers, and size at peak fluorescence of electropherogram). Validation using a cohort of 65 tissue blocks returned an average additional DNA yield of 31.6% (silica columns) and 54.8% (alcohol precipitation). Users can therefore refreeze the homogenized remnants of tissue blocks rather than disposing of them and then perform additional DNA extractions if yields in the initial multi-analyte extractions were low.

Indexed as

DNAProteinsEndopeptidase KHumansPolymerase Chain ReactionRNADNAEndopeptidase KProteinsRNAAllPrepbiospecimen sciencehomogenizationoptimizationPuregeneQIAampsimultaneous

Identifiers

PMID37119238
PMCPMC10227881

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.