Evidence map›Paper›PMID 38434105›Full record

ArticleJournal of genomics2024

Quality control on oil palm RNA samples for efficient genomic downstream applications.

Ardha Apryianto, Primadiyanti Arsela, Foncha Felix, Walter Ajambang

Abstract read
In one paragraph

Article in Journal of genomics, 2024. 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

4 authors.

Ardha ApryiantoBiopolymer Analytics, Institute of Biochemistry and Biology, University of Potsdam, Karl- liebknecht-str. 24-25 Potsdam Golm- Germany.
Primadiyanti ArselaProdi Agroteknologi, Fakultas Pertanian dan bisnis Digital, Universitas Muhammadiyah Kalimantan Timur, Indonesia.
Foncha FelixInstitute of Agricultural Research for Development (IRAD), Cameroon.
Walter AjambangInstitute of Agricultural Research for Development (IRAD), Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality control (QC) is primordial for determining the efficiency in any downstream genomic applications. There are several steps in the verification of the quality of RNA samples destined for genomic studies. The aim of this research was to determine whether RNA should be discarded at the level of the field lab if it fails preliminary quality control using Optical Density (OD) measurements. In this study, all samples were submitted to rigorous quality control in every stage of work. RNA samples showing poor OD values still gave excellent results in downstream QC and genomic applications. At the end of the quality control exercise, it was observed that the original samples were the same and had not undergone any deterioration along the different stages of handling and manipulation. This paper shows the different and most important stages of quality control on RNA samples (RIN) for an effective down stream application in genomic studies. RNA samples should not be discarded based on preliminary QC from our field labs.

Indexed as

genomicsODoil palmRINRNA

Identifiers

PMID38434105
PMCPMC10905253

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.