ReviewImmunologic research2016
Microarray to deep sequencing: transcriptome and miRNA profiling to elucidate molecular pathways in systemic lupus erythematosus.
Review in Immunologic research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
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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
17 citing papers in PubMed, 31 citations in OpenAlex.
- Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values.Current issues in molecular biology · 2024Article
- Article
- Analysis, validation, and discussion of key genes in placenta of patients with gestational diabetes mellitus.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Sequencing technology as a major impetus in the advancement of studies into rheumatism: A bibliometric study.Frontiers in immunology · 2023Article
- Vitamin D supplementation in systemic lupus erythematosus: relationship to disease activity, fatigue and the interferon signature gene expression.BMC rheumatology · 2021Article
- Identification of potential biomarkers associated with immune infiltration in the esophageal carcinoma tumor microenvironment.Bioscience reports · 2021Article
- Review
- Kidney Tertiary Lymphoid Structures in Lupus Nephritis Develop into Large Interconnected Networks and Resemble Lymph Nodes in Gene Signature.The American journal of pathology · 2020Article
- Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks.PloS one · 2020Article
- Correlation of microRNA expression profile with clinical response to tumor necrosis factor inhibitor in treating rheumatoid arthritis patients: A prospective cohort study.Journal of clinical laboratory analysis · 2019Article
- Bioinformatics analysis of microRNA expression between patients with and without latent tuberculosis infections.Experimental and therapeutic medicine · 2019Article
- Differential microRNA expression profiles in tamoxifen-resistant human breast cancer cell lines induced by two methods.Oncology letters · 2018Article
- The effect of vitamin D on disease activity, fatigue and interferon signature gene expression in systemic lupus erythematosus.Mediterranean journal of rheumatology · 2017Review
- Diagnostic and prognostic tests in systemic lupus erythematosus.Best practice & research. Clinical rheumatology · 2017Review
- Identification of extracellular miRNA in archived serum samples by next-generation sequencing from RNA extracted using multiple methods.Molecular biology reports · 2016Article
- Potential serum and urine biomarkers in patients with lupus nephritis and the unsolved problems.Open access rheumatology : research and reviews · 2016Review
- Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease with diverse clinical manifestations and autoantibody repertoires. The etiology of SLE is multifactorial involving genetic, epigenetic and environmental factors. This complexity leads to poor prognosis, which poses major challenges in the treatment of SLE. Understanding the complex genetic pathways and regulatory mechanisms operative in SLE was feasible by utilizing several highly efficient molecular biological tools during the past few years. In this perspective, DNA microarray technology offered a high-throughput platform in unraveling SLE-associated genes. Additionally, extensive microarray analysis had demonstrated aberrant DNA methylation pattern and differential microRNAs, thus contributing to the knowledge of epigenetic modulators and posttranscriptional regulatory machinery in SLE. It was through the aid of these technologies that interferon signature was identified as an important contributor in SLE pathogenesis along with dysregulation of cytokine-, chemokine- and apoptosis-related genes. The emergence of next-generation sequencing technologies such as RNA sequencing has added new dimensions in understanding the dynamics of the disease processes. Compared with microarrays, deep sequencing has provided higher resolution in gene expression measurement along with identification of different splicing events, noncoding RNAs and novel loci in SLE. The focus, therefore, has now been shifted toward the identification of novel gene loci and their isoforms, and their implication in disease pathogenesis. This advancement in the technology from microarray to deep sequencing has helped in deciphering the molecular pathways involved in pathogenesis of SLE and opens new avenues to develop novel treatment strategies for SLE.
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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.