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      Long noncoding RNA LINC01882 ameliorates aGVHD via skewing CD4 + T cell differentiation toward Treg cells

      1 , 1 , 1 , 1 , 1
      American Journal of Physiology-Cell Physiology
      American Physiological Society

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          Abstract

          Acute graft-versus-host disease (aGVHD) is a severe T cell-mediated immune response after allogeneic hematopoietic stem cell transplantation (allo-HSCT), the molecular mechanisms remain to be elucidated and novel treatments are necessary to be developed. In the present study, we found that the expression of long noncoding RNA (lncRNA) LINC01882 decreased significantly in the peripheral blood CD4 + T lymphocytes of patients with aGVHD than non-aGVHD patients. In addition, lncRNA LINC01882 overexpression promoted Treg differentiation but exhibited no effects on Th17 percentages, while its knockdown resulted in opposite effects. Mechanistically, lncRNA LINC01882 could competitively bind with let-7b-5p to prevent the degradation of its target gene smad2, which acts as a promoter in Treg differentiation. Furthermore, the mice cotransplanted with LINC01882-overexpressed CD4 + T cells with PBMCs had a lower histological GVHD score and higher survival rate compared with control mice. In conclusion, our study discloses a novel LINC01882/let-7b-5p/smad2 pathway in the modulation of aGVHD and indicates that lncRNA LINC01882 could be a promising biomarker and therapeutic target for patients with aGVHD.

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          Most cited references63

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Functional Classification and Experimental Dissection of Long Noncoding RNAs

            Over the last decade, it has been increasingly demonstrated that the genomes of many species are pervasively transcribed, resulting in the production of numerous long noncoding RNAs (lncRNAs). At the same time, it is now appreciated that many types of DNA regulatory elements, such as enhancers and promoters, regularly initiate bidirectional transcription. Thus, discerning functional noncoding transcripts from a vast transcriptome is a paramount priority, and challenge, for the lncRNA field. In this review, we aim to provide a conceptual and experimental framework for classifying and elucidating lncRNA function. We categorize lncRNA loci into those that regulate gene expression in cis versus those that perform functions in trans , and propose an experimental approach to dissect lncRNA activity based on these classifications. These strategies to further understand lncRNAs promise to reveal new and unanticipated biology, with great potential to advance our understanding of normal physiology and disease.
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              Is Open Access

              miRDB: an online database for prediction of functional microRNA targets

              Abstract MicroRNAs (miRNAs) are small noncoding RNAs that act as master regulators in many biological processes. miRNAs function mainly by downregulating the expression of their gene targets. Thus, accurate prediction of miRNA targets is critical for characterization of miRNA functions. To this end, we have developed an online database, miRDB, for miRNA target prediction and functional annotations. Recently, we have performed major updates for miRDB. Specifically, by employing an improved algorithm for miRNA target prediction, we now present updated transcriptome-wide target prediction data in miRDB, including 3.5 million predicted targets regulated by 7000 miRNAs in five species. Further, we have implemented the new prediction algorithm into a web server, allowing custom target prediction with user-provided sequences. Another new database feature is the prediction of cell-specific miRNA targets. miRDB now hosts the expression profiles of over 1000 cell lines and presents target prediction data that are tailored for specific cell models. At last, a new web query interface has been added to miRDB for prediction of miRNA functions by integrative analysis of target prediction and Gene Ontology data. All data in miRDB are freely accessible at http://mirdb.org.
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                Author and article information

                Contributors
                Journal
                American Journal of Physiology-Cell Physiology
                American Journal of Physiology-Cell Physiology
                American Physiological Society
                0363-6143
                1522-1563
                February 01 2023
                February 01 2023
                : 324
                : 2
                : C395-C406
                Affiliations
                [1 ]Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
                Article
                10.1152/ajpcell.00323.2022
                f362bca6-98a7-4e17-a7b2-8cb8547fbc6c
                © 2023
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