microRNAs and the immune response

Tsitsiou, Eleni; Lindsay, Mark A.

doi:10.1016/j.coph.2009.05.003

Cited by 310 publications

(278 citation statements)

References 39 publications

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“…Recent studies indicate that some miRNAs that are selectively and/or highly expressed in immune cells-including the miR-17-92 cluster, miR-150, miR-155, miR-181, and miR-223-have a 'permissive' function in the maturation, proliferation, and differentiation of myeloid and lymphoid cells (Tsitsiou and Lindsay, 2009). In addition, miR-155 negatively regulates the immune response by repressing Src homology-2 domain-containing inositol 5-phosphatase 1 (SHIP1) through direct 3 0 -UTR interactions (O'Connell et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Brain and Blood microRNA Expression Profiling of Ischemic Stroke, Intracerebral Hemorrhage, and Kainate Seizures

Liu

Tian

Ander

et al. 2009

J Cereb Blood Flow Metab

461

384

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MicroRNAs (miRNAs) regulate gene expression and have a critical role in many biologic and pathologic processes. We hypothesized that miRNA expression profiles in injured brain (hippocampus) would show common as well as unique profiles when compared with those of blood. Adult, untouched, control rats were compared with rats with sham surgeries, ischemic strokes, brain hemorrhage (lysed blood, fresh blood, or thrombin), and kainate-induced seizures. Brain and whole-blood miRNA expression profiles were assessed 24 h later using TaqMan rodent miRNA arrays. MicroRNA response profiles were different for each condition. Many miRNAs changed more than 1.5-fold in brain and blood after each experimental manipulation, and several miRNAs were upregulated or downregulated in both brain and blood after a given injury. A few miRNAs (e.g., miR-298, miR-155, and miR-362-3p) were upregulated or downregulated more than twofold in both brain and blood after several different injuries. The results show the possible use of blood miRNAs as biomarkers for brain injury; that selected blood miRNAs may correlate with miRNA changes in the brain; and that many of the mRNAs, previously shown to be regulated in brain and blood after brain injury, are likely accounted for by changes in miRNA expression.

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Section: Discussionmentioning

confidence: 99%

Brain and Blood microRNA Expression Profiling of Ischemic Stroke, Intracerebral Hemorrhage, and Kainate Seizures

Liu

Tian

Ander

et al. 2009

J Cereb Blood Flow Metab

461

384

View full text Add to dashboard Cite

show abstract

“…MicroRNAs (miRNAs), a family of small noncoding RNAs which regulate gene expression by base-pairing to the 3 untranslated region of their target genes, have recently emerged as a novel class of posttranscriptional regulators of various biological processes ranging from development to function, especially in the immune system (Ambros, 2004;Bartel, 2004;Baltimore et al, 2008;Tsitsiou and Lindsay, 2009). Their capacity to coordinately regulate multiple target genes makes miRNAs particularly suitable for regulating complex signaling cascades like NF-B.…”

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confidence: 99%

miR-146acontrols the resolution of T cell responses in mice

Yang¹,

Boldin²,

Yu³

et al. 2012

J Cell Biol

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“…Because microRNA-mediated RNA interference has been described as an important regulatory mechanism of the immune response, 29 we analyzed miRNA expression profiles of 71/86 OPL samples from the discovery dataset (37 “classical” and 34 “immunological”). A total of 46 and 15 miRNAs were found to be overexpressed and underexpressed respectively in the immunological subtype compared to the classical subtype (Wilcoxon test, Q-value< 0.05, |FC|> 2) (Supplementary File 3).…”

Section: Resultsmentioning

confidence: 99%

Immunological and classical subtypes of oral premalignant lesions

et al. 2018

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Oral squamous cell carcinoma (OSCC) is a major cause of cancer-associated morbidity and mortality and may develop from oral premalignant lesions (OPL). An improved molecular classification of OPL may help refining prevention strategies. We identified two main OPL gene-expression subtypes, named immunological and classical, in 86 OPL (discovery dataset). A gene expression-based score was then developed to classify OPL samples from three independent datasets, including 17 (GSE30784),13 (GSE10174) and 15 (GSE85195) OPLs, into either one of the two gene-expression subtypes. Using the single sample gene set enrichment analysis, enrichment scores for immune-related pathways were different between the two OPL subtypes. In OPL from the discovery set, loss of heterozygosities (LOH) at 3p14, 17p13, TP53, 9p21 and 8p22 and miRNA gene expression profiles were analyzed. Deconvolution of the immune infiltrate was performed using the Microenvironment Cell Populations-counter tool. A multivariate analysis revealed that decreased miRNA-142-5p expression (P = 0.0484) and lower T-cell, monocytic and myeloid dendritic cells (MDC) immune infiltration (T-cells, P = 0.0196; CD8 T cells, P = 0.0129; MDC, P = 0.0481; and monocytes, P = 0.0212) were associated with oral cancer development in the immunological subtype only. In contrast, LOH at 3p14 (P = 0.0241), 17p13 (P = 0.0348) and TP53 (P = 0.004) were associated with oral cancer development in the classical subtype only. In conclusion, we identified 2 subtypes of OPLs, namely immune and classical, which may benefit from different and specific personalized prevention interventions.

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microRNAs and the immune response

Cited by 310 publications

References 39 publications

Brain and Blood microRNA Expression Profiling of Ischemic Stroke, Intracerebral Hemorrhage, and Kainate Seizures

Brain and Blood microRNA Expression Profiling of Ischemic Stroke, Intracerebral Hemorrhage, and Kainate Seizures

miR-146acontrols the resolution of T cell responses in mice

Immunological and classical subtypes of oral premalignant lesions

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