MicroRNAs (miRNAs) finely tune messenger RNA (mRNA) expression. As the brain is a highly heterogeneous tissue, physiologically relevant miRNA expression profiling greatly benefits from sampling brain regions or nuclei. MiRNA expression profiling from individual samples is also important for investigating potential differences between animals according to their physiological and pathophysiological status. We have punched the arcuate (ARC) and paraventricular (PVN) nuclei from the hypothalamus of seven male Wistar rats and used them to establish a novel method for the characterization of the miRNA expression profile of individual rat brain nuclei. The identity of the ARC and PVN samples was checked for proopiomelanocortin and arginine vasopressin mRNA expression, respectively. Individual cDNA libraries were constructed from purified RNAs between 16 and 26 bases, using barcoded adapters. Libraries were multiplexed and sequenced using Illumina technology to a read depth >10(5). The ARC and PVN profiles displayed similar expression from a set of more than 210 miRNA genes. Expression was high or moderate for about twenty miRNAs that may be used to define a common ARC/PVN prototype profile of male Wistar rats. These miRNAs included seven of the eight genes of the let-7 family, the two miR-7 genes, miR-9 gene and 5' copy of the three miR-30 loci. Our method shows that the ARC and PVN from a single rat are accessible for miRNA digital characterization. This method will allow miRNA transcriptome characterization for any rat brain substructure or nuclei that can be microdissected.
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http://dx.doi.org/10.1016/j.jneumeth.2012.05.033 | DOI Listing |
Brief Bioinform
November 2024
School of Engineering, Westlake University, No. 600 Dunyu Road, 310030 Zhejiang, P.R. China.
Single-cell RNA sequencing (scRNA-seq) offers remarkable insights into cellular development and differentiation by capturing the gene expression profiles of individual cells. The role of dimensionality reduction and visualization in the interpretation of scRNA-seq data has gained widely acceptance. However, current methods face several challenges, including incomplete structure-preserving strategies and high distortion in embeddings, which fail to effectively model complex cell trajectories with multiple branches.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Guangdong Provincial Key Laboratory of Mathematical and Neural Dynamical Systems, Great Bay University, No. 16 Daxue Rd, Songshanhu District, Dongguan, Guangdong, 523000, China.
Multimodal omics provide deeper insight into the biological processes and cellular functions, especially transcriptomics and proteomics. Computational methods have been proposed for the integration of single-cell multimodal omics of transcriptomics and proteomics. However, existing methods primarily concentrate on the alignment of different omics, overlooking the unique information inherent in each omics type.
View Article and Find Full Text PDFTIGIT and PVRIG are immune checkpoints co-expressed on activated T and NK cells, contributing to tumor immune evasion. Simultaneous blockade of these pathways may enhance therapeutic efficacy, positioning them as promising dual targets for cancer immunotherapy. This study aimed to develop a bispecific antibody (BsAb) to co-target TIGIT and PVRIG.
View Article and Find Full Text PDFEmerg Microbes Infect
January 2025
Key Laboratory of Jiangxi Province for Transfusion Medicine, Department of Blood Transfusion, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China.
The tRNA-derived small RNAs (tsRNAs) are a new class of non coding RNAs, which are stable in body fluids and can be used as potential biomarkers for disease diagnosis. However, the exact value of tsRNAs in the diagnosis of tuberculosis (TB) is still unclear. The objective of the present study was to evaluate the performance of the serum tsRNAs biosignature to distinguish between active TB, healthy controls, latent TB infection, and other respiratory diseases.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: Adenocarcinoma of the esophagogastric junction (AEGJ) is a highly aggressive tumor that frequently metastasizes to the liver. Understanding the cellular and molecular mechanisms that drive this process is essential for developing effective therapies.
Methods: We employed single-cell RNA sequencing to analyze the tumor heterogeneity and microenvironmental landscape in patients with AEGJ liver metastases.
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