ArticleInternational journal of molecular sciences2021
Loss of Gene Information: Discrepancies between RNA Sequencing, cDNA Microarray, and qRT-PCR.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed.
- Identification of platelet-derived biomarker in a cohort of Parkinson's disease.Genes & diseases · 2027Article
- Integrating genome-wide association study and transcriptomic profiling identifies candidate genes underlying soluble solids content in melon (Horticulture research · 2026Article
- Cold atmospheric plasma affects metabolic processes in malignant melanoma.Cancer cell international · 2026Article
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Mutual feedback regulation between Poly(A)-specific ribonuclease (PARN) and cognate microRNAs.Life science alliance · 2026Article
- Deciphering the Boron Toxicity Tolerance Mechanisms ofLife (Basel, Switzerland) · 2026Article
- Role of Trichostatin A (TSA) in modulating the epigenetic modification in the lymphocytes of colorectal cancer (CRC).Clinical epigenetics · 2025Article
- Evaluating the effect of the mitochondrial alternative peptide MTALTND4 on gene expression.Biochemistry and biophysics reports · 2025Article
- Immuno-laser capture microdissection of perfusion-fixed mouse brain tissue coupled to RNA-seq.Journal of neuroscience methods · 2025Article
- Article
- A case study on the γ-octalactone induced expression of Obp83g-2 in Bactrocera dorsalis (Hendel) revealed the transcriptional regulation of insect odorant binding protein.Communications biology · 2025Article
- Transcriptomic Differences Between Human Trabecular Meshwork Stem Cells and Trabecular Meshwork Cells Reveal Specific Biomarker Profiles.Current issues in molecular biology · 2025Article
- Transcriptomic profiles in major depressive disorder: the role of immunometabolic and cell-cycle-related pathways in depression with different levels of inflammation.Molecular psychiatry · 2025Observational
- Comparative analysis of PI3K-AKT and MEK-ERK1/2 signaling-driven molecular changes in granulosa cells.Reproduction (Cambridge, England) · 2025Article
- Identification of Aging-Related Hub Genes (ATP11B, RBBP7, DOCK10, and NUP160) as Potential Biomarkers and Therapeutic Targets in Sepsis.Human mutation · 2025Article
- A Snapshot of Early Transcriptional Changes Accompanying the Pro-Neural Phenotype Switch by NGN2, ASCL1, SOX2, and MSI1 in Human Fibroblasts: An RNA-Seq Study.International journal of molecular sciences · 2024Article
- Article
- Noninvasive, label-free image approaches to predict multimodal molecular markers in pluripotency assessment.Scientific reports · 2024Article
- Changes in the Transcriptome Profile in Young Chickens after Infection with LaSota Newcastle Disease Virus.Vaccines · 2024Article
- Specific Circular RNA Signature of Endothelial Cells: Potential Implications in Vascular Pathophysiology.International journal of molecular sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Molecular analyses of normal and diseased cells give insight into changes in gene expression and help in understanding the background of pathophysiological processes. Years after cDNA microarrays were established in research, RNA sequencing (RNA-seq) became a key method of quantitatively measuring the transcriptome. In this study, we compared the detection of genes by each of the transcriptome analysis methods: cDNA array, quantitative RT-PCR, and RNA-seq. As expected, we found differences in the gene expression profiles of the aforementioned techniques. Here, we present selected genes that exemplarily demonstrate the observed differences and calculations to reveal that a strong RNA secondary structure, as well as sample preparation, can affect RNA-seq. In summary, this study addresses an important issue with a strong impact on gene expression analysis in general. Therefore, we suggest that these findings need to be considered when dealing with data from transcriptome analyses.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.