ArticleTranscription2019
Identify gene expression pattern change at transcriptional and post-transcriptional levels.
Article in Transcription, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Proteomic signatures of the APOE ε4 and APOE ε2 genetic variants and Alzheimer's disease.Nature aging · 2026Article
- Multi-Level Profiling of MAPK-Associated Genes and MicroRNAs Uncovers Regulatory Networks in Breast Cancer Subtypes.International journal of molecular sciences · 2025Article
- Aging Alters mRNA Processing in the Mouse Ovary.Cells · 2025Article
- Article
- Analysis of miRNA Expression Profiles in Traumatic Brain Injury (TBI) and Their Correlation with Survival and Severity of Injury.International journal of molecular sciences · 2024Article
- Deciphering the intricate hierarchical gene regulatory network: unraveling multi-level regulation and modifications driving secondary cell wall formation.Horticulture research · 2024Article
- For better or worse: crosstalk of parvovirus and host DNA damage response.Frontiers in immunology · 2024Review
- RNA-seq analysis reveals transcriptome reprogramming and alternative splicing during early response to salt stress in tomato root.Frontiers in plant science · 2024Article
- Structure and function of the parvoviral NS1 protein: a review.Virus genes · 2023Review
- Fumarate hydratase inhibits non-small cell lung cancer metastasis via inactivation of AMPK and upregulation of DAB2.Oncology letters · 2023Article
- Pan-cancer analysis of theOpen medicine (Warsaw, Poland) · 2023Article
- Diagnostic classification of cancers using DNA methylation of paracancerous tissues.Scientific reports · 2022Article
- Cyclin B2 overexpression promotes tumour growth by regulating jagged 1 in hepatocellular carcinoma.Aging · 2022Article
- Analysis of ROQUIN, Tristetraprolin (TTP), and BDNF/miR-16/TTP regulatory axis in late onset Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Gene transcription is regulated with distinct sets of regulatory factors at multiple levels. Transcriptional and post-transcriptional regulation constitute two major regulation modes of gene expression to either activate or repress the initiation of transcription and thereby control the number of proteins synthesized during translation. Disruptions of the proper regulation patterns at transcriptional and post-transcriptional levels are increasingly recognized as causes of human diseases. Consequently, identifying the differential gene expression at transcriptional and post-transcriptional levels respectively is vital to identify potential disease-associated and/or causal genes and understand their roles in the disease development. Here, we proposed a novel method with a linear mixed model that can identify a set of differentially expressed genes at transcriptional and post-transcriptional levels. The simulation and real data analysis showed our method could provide an accurate way to identify genes subject to aberrant transcriptional and post-transcriptional regulation and reveal the potential causal genes that contributed to the diseases.
Indexed as
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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.