Gliomas, the predominant form of brain cancer, comprise diverse malignant subtypes with limited curative therapies available. The insufficient understanding of their molecular diversity and evolutionary processes hinders the advancement of new treatments. Technical complexities associated with formalin-fixed paraffin-embedded (FFPE) clinical samples hinder molecular-level analyses of gliomas. Current single-cell RNA sequencing (scRNA-seq) platforms are inadequate for large-scale clinical applications. In this study, automated snRandom-seq is developed, a high-throughput single-nucleus total RNA sequencing platform optimized for archival FFPE samples. This platform integrates automated single-nucleus isolation and droplet barcoding systems with the random primer-based scRNA-seq chemistry, accommodating a broad spectrum of sample types. The automated snRandom-seq is applied to analyze 116 492 single nuclei from 17 FFPE samples of various glioma subtypes, including rare clinical samples and matched primary-recurrent glioblastomas (GBMs). The study provides comprehensive insights into the molecular characteristics of gliomas at the single-cell level. Abundant non-coding RNAs (ncRNAs) with distinct expression profiles across different glioma clusters and uncovered promising recurrence-related targets and pathways in primary-recurrent GBMs are identified. These findings establish automated snRandom-seq as a robust tool for scRNA-seq of FFPE samples, enabling exploration of molecular diversities and tumor evolution. This platform holds significant implications for large-scale integrative and retrospective clinical research.

BACKGROUND: One of the confounding factors in pancreatic cancer (PC) pathogenesis is hyperglycemia. The molecular mechanism by which high glucose (HG) influences PC severity is poorly understood. Our investigation delved into the impact of lncRNA highly upregulated in liver cancer (HULC) and its interaction with yes-associated protein (YAP) in regulating the fate of pancreatic ductal adenocarcinoma cells (PDAC) under HG-induced conditions. PDAC cells were cultured under normal or HG conditions. We thereafter measured the effect of HG on the viability of PDAC cells, their migration potential and drug resistance properties. The lncRNAs putatively dysregulated in PC and diabetes were shortlisted by bioinformatics analysis followed by wet lab validation of function.
RESULTS: HG led to enhanced proliferation and drug refractoriness in PDAC cells. HULC was identified as one of the major deregulated lncRNAs following bioinformatics analysis. HULC was found to regulate the expression of the potent transcriptional regulator - YAP through selective histone modifications at the YAP promoter. siRNA-mediated ablation of HULC resulted in a concurrent decrease in YAP transcriptional activity. Importantly, HULC and YAP were found to co-operatively regulate the cellular homeostatic process autophagy, thus inculcating drug resistance and proliferative potential in PDAC cells. Moreover, inhibition of autophagy or YAP led to a decrease in HULC levels, suggesting the existence of an inter-regulatory feedback loop.
CONCLUSIONS: We observed that HG triggers aggressive properties in PDAC cells. Mechanistically, up-regulation of lncRNA HULC resulted in activation of YAP and differential regulation of autophagy coupled to increased proliferation of PDAC cells.
CONCLUSIONS: Inhibition of HULC and YAP may represent a novel therapeutic strategy for PDAC. Furthermore, this study portrays the intricate molecular interplay between HULC, YAP and autophagy in PDAC pathogenesis.

Cervical cancer is one of the most frequent cancers in women and is associated with human papillomavirus (HPV) in 70 % of cases. Cervical cancer occurs because of progression of low-differentiated cervical intraepithelial neoplasia through grade 2 and 3 lesions. Along with the protein-coding genes, long noncoding RNAs (lncRNAs) play an important role in the development of malignant cell transformation. Although human papillomavirus is widespread, there is currently no well-characterized transcriptomic signature to predict whether this tumor will develop in the presence of HPV-associated neoplastic changes in the cervical epithelium. Changes in gene activity in tumors reflect the biological diversity of cellular phenotype and physiological functions and can be an important diagnostic marker. We performed comparative transcriptome analysis using open RNA sequencing data to assess differentially expressed genes between normal tissue, neoplastic epithelium, and cervical cancer. Raw data were preprocessed using the Galaxy platform. Batch effect correction, identification of differentially expressed genes, and gene set enrichment analysis (GSEA) were performed using R programming language packages. Subcellular localization of lncRNA was analyzed using Locate-R and iLoc-LncRNA 2.0 web services. 1,572 differentially expressed genes (DEGs) were recorded in the \"cancer vs. control\" comparison, and 1,260 DEGs were recorded in the \"cancer vs. neoplasia\" comparison. Only two genes were observed to be differentially expressed in the \"neoplasia vs. control\" comparison. The search for common genes among the most strongly differentially expressed genes among all comparison groups resulted in the identification of an expression signature consisting of the CCL20, CDKN2A, CTCFL, piR-55219, TRH, SLC27A6 and EPHA5 genes. The transcription level of the CCL20 and CDKN2A genes becomes increased at the stage of neoplastic epithelial changes and stays so in cervical cancer. Validation on an independent microarray dataset showed that the differential expression patterns of the CDKN2A and SLC27A6 genes were conserved in the respective gene expression comparisons between groups.
Рак шейки матки является одним из наиболее частых онкологических заболеваний у женщин и в 70 % случаев связан с вирусом папилломы человека (ВПЧ). Рак шейки матки развивается в результате прогрессии цервикальной интраэпителиальной неоплазии через поражения второй и третьей степени. Помимо белок-кодирующих генов, важную роль в развитии злокачественной трансформации клеток играют длинные некодирующие РНК. Хотя вирус папилломы человека широко распространен, в настоящее время нет хорошо охарактеризованных транскриптомных признаков, позволяющих предсказать злокачественную трансформацию клеток эпителия при наличии связанной с ВПЧ неоплазии эпителия шейки матки. Изменения генной активности в опухолях отражают биологическое разнообразие клеточного фенотипа и физиологических функций и могут быть важным диагностическим маркером. Используя открытые данные секвенирования РНК, мы провели сравнительный анализ транскриптома для оценки дифференциально экспрессируемых генов в образцах нормальной ткани, эпителия с диспластическими изменениями и раком шейки матки. Первичные данные были предварительно обработаны с использованием платформы Galaxy. Коррекция пакетного эффекта, идентификация дифференциально экспрессируемых генов и анализ обогащения набора генов выполнены в пакетах языка программирования R. Субклеточная локализация днРНК была проанализирована с помощью веб-сервисов Locate-R и iLoc-LncRNA 2.0. В сравнении «рак vs. контроль» зарегистрировано 1572 дифференциально экспрессируемых гена, в сравнении «рак vs. неоплазия» – 1260. Только два дифференциально экспрессируемых гена выявлено при сравнении контроля и неоплазии. Поиск общих среди наиболее сильно дифференциально экспрессируемых генов во всех группах сравнения привел к выявлению сигнатуры экспрессии, состоящей из генов CCL20, CDKN2A, CTCFL, piR-55219, TRH, SLC27A6 и EPHA5. Повышенный уровень транскрипции генов CCL20 и CDKN2A возникает на стадии неопластических изменений эпителия и сохраняется при раке шейки матки. Валидация на независимом наборе данных микрочипа показала, что паттерны дифференциальной экспрессии генов CDKN2A и SLC27A6 сохраняются в соответствующих сравнениях экспрессии генов между группами.

Psoriasis is a chronic inflammatory disease characterized by increased keratinocyte proliferation and local inflammation. Long noncoding RNAs (lncRNAs) play important regulatory roles in many immune-mediated diseases, including psoriasis. In this study, we aimed to investigate the role and mechanism of lnc-SPRR2G-2 (SPRR2G) in M5-treated psoriatic keratinocytes. Fluorescence in situ hybridization and quantitative real-time polymerase chain reaction (qRT-PCR) showed that lnc-SPRR2G-2 was significantly upregulated in psoriasis tissues and psoriatic keratinocytes. In psoriatic keratinocytes, functional and molecular experiment analyses demonstrated that SPRR2G regulated proliferation, cell cycle and apoptosis, and induced the expression of S100 calcium binding protein A7 (S100A7), interleukin (IL)-1β, IL-8 and C-X-C motif chemokine ligand 10 (CXCL10). The function of SPRR2G in psoriasis is related to the STAT3 signaling pathway and can be inhibited by a STAT3 inhibitor. Moreover, KH-type splicing regulatory protein (KHSRP) was proved to be regulated by lnc-SPRR2G-2 and to control the mRNA decay of psoriasis-related cytokines (p < 0.05). In summary, we reported the functions of lnc-SPRR2G-2 and KHSRP in psoriasis. Our findings provide new insights for the further exploration of the pathogenesis and treatment of psoriasis.

Urologic oncology is a significant public health concern on a global scale. Recent research indicates that long chain non-coding RNAs (lncRNAs) and autophagy play crucial roles in various cancers, including urologic malignancies. This article provides a summary of the latest research findings, suggesting that lncRNA-mediated autophagy could either suppress or promote tumors in prostate, kidney, and bladder cancers. The intricate network involving different lncRNAs, target genes, and mediated signaling pathways plays a crucial role in urological malignancies by modulating the autophagic process. Dysregulated expression of lncRNAs can disrupt autophagy, leading to tumorigenesis, progression, and enhanced resistance to therapy. Consequently, targeting particular lncRNAs that control autophagy could serve as a dependable diagnostic tool and a promising prognostic biomarker in urologic oncology, while also holding potential as an effective therapeutic approach.

OBJECTIVE: To explore the efficacy and potential mechanism of Fengshi Gutong capsule (FSGTC) in osteoarthritis (OA) inflammation.
METHODS: The impact of FSGTC on laboratory indicators of OA patients was explored using data mining technology and association rule analysis. Then, the OA cell model was constructed by inducing chondrocytes (CHs) with interleukin-1β (IL-1β). In the presence of FSGTC intervention, the regulatory mechanism of PACER/COX2/PGE2 in OA-CH viability and inflammatory responses was evaluated.
RESULTS: Retrospective data mining showed that FSGTC effectively reduced inflammation indexes (ESR, HCRP) of OA patients. Cell experiments showed that LncRNA PACER (PACER) silencing inhibited the proliferation activity of OA-CHs, increased the level of COX2 protein, elevated the levels of PGE2, TNF-α, and IL-1β, and decreased the levels of IL-4 and IL-10 (p < .01). On the contrary, FSGTC-containing serum reversed the effect of PACER silencing on OA-CHs (p < .01). After the addition of COX2 pathway inhibitor, the proliferation activity of OA-CHs was enhanced; the levels of PGE2, TNF-α, and IL-1β were decreased while the levels of IL-4 and IL-10 were increased (p < .01).
CONCLUSIONS: FSGTC inhibits IL-1β-induced inflammation in CHs and ameliorates OA by upregulating PACER and downregulating COX2/PGE2.

BACKGROUND: Long noncoding RNAs (lncRNAs) are noncoding RNA transcripts greater than 200 nucleotides in length and are known to play a role in regulating the transcription of genes involved in vital cellular functions. We hypothesized the disease process in dysferlinopathy is linked to an aberrant expression of lncRNAs and messenger RNAs (mRNAs).
OBJECTIVE: In this study, we compared the lncRNA and mRNA expression profiles between wild-type and dysferlin-deficient murine myoblasts (C2C12 cells).
METHODS: LncRNA and mRNA expression profiling were performed using a microarray. Several lncRNAs with differential expression were validated using quantitative real-time polymerase chain reaction. Gene Ontology (GO) analysis was performed to understand the functional role of the differentially expressed mRNAs. Further bioinformatics analysis was used to explore the potential function, lncRNA-mRNA correlation, and potential targets of the differentially expressed lncRNAs.
RESULTS: We found 3195 lncRNAs and 1966 mRNAs that were differentially expressed. The chromosomal distribution of the differentially expressed lncRNAs and mRNAs was unequal, with chromosome 2 having the highest number of lncRNAs and chromosome 7 having the highest number of mRNAs that were differentially expressed. Pathway analysis of the differentially expressed genes indicated the involvement of several signaling pathways including PI3K-Akt, Hippo, and pathways regulating the pluripotency of stem cells. The differentially expressed genes were also enriched for the GO terms, developmental process and muscle system process. Network analysis identified 8 statistically significant (P<.05) network objects from the upregulated lncRNAs and 3 statistically significant network objects from the downregulated lncRNAs.
CONCLUSIONS: Our results thus far imply that dysferlinopathy is associated with an aberrant expression of multiple lncRNAs, many of which may have a specific function in the disease process. GO terms and network analysis suggest a muscle-specific role for these lncRNAs. To elucidate the specific roles of these abnormally expressed noncoding RNAs, further studies engineering their expression are required.

A previous study indicated that patients with androgenic alopecia (AGA) have significantly reduced levels of LncRNA RP11-818O24.3. This study investigates whether LncRNA RP11-818O24.3 promotes hair-follicle recovery and its possible mechanism. Hair alteration and cutaneous histopathological changes induced by testosterone propionate were observed by H&E and bromodeoxyuridinc (BrdU) stain to evaluate the therapeutic effect of LncRNA RP11-818O24.3 in C57BL/6 J mice. The cellular viability was analyzed in LncRNA RP11-818O24.3-transfected human hair-follicle stem cells (HFSCs) in vitro. The signaling pathways and pro-proliferative factors were investigated by transcriptomic gene sequencing and qRT-PCR. LncRNA RP11-818O24.3 transfection successfully recovered hair growth and hair-follicle cells in AGA mice. In a series of HFSC studies in vitro, LncRNA RP11-818O24.3 transfection greatly promoted cellular proliferation and decreased cellular apoptosis. Transcriptome gene sequencing suggested that the phosphatidylinositol 3-kinase (PI3K)-Akt pathway was upregulated by LncRNA RP11-818O24.3. The qRT-PCR results showed that fibroblast growth factor (FGF)-2 was 14-times upregulated after LncRNA RP11-818O24.3 transfection. Hair-follicle recovery activity of LncRNA RP11-818O24.3 may involve the upregulation of FGF2 and PI3K-Akt to promote follicle stem cell survival. These data not only provide a theoretical basis for AGA development but also reveal a novel therapeutic method for AGA patients.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s10616-024-00624-3.

Long non-coding RNAs (lncRNAs) are a sort of transcripts that are more than 200 nucleotides in length. In recent years, many studies have revealed the modulatory role of lncRNAs in cancer. Typically, lncRNAs are linked to a variety of essential events, such as apoptosis, cellular proliferation, and the invasion of malignant cells. Simultaneously, autophagy, an essential intracellular degradation mechanism in eukaryotic cells, is activated to respond to multiple stressful circumstances, for example, nutrient scarcity, accumulation of abnormal proteins, and organelle damage. Autophagy plays both suppressive and promoting roles in cancer. Increasingly, studies have unveiled how dysregulated lncRNAs expression can disrupt autophagic balance, thereby contributing to cancer progression. Consequently, exploring the interplay between lncRNAs and autophagy holds promising implications for clinical research. In this manuscript, we methodically compiled the advances in the molecular mechanisms of lncRNAs and autophagy and briefly summarized the implications of the lncRNA-mediated autophagy axis.

Tumorigenesis is a complicated process in which numerous modulators are involved in different ways. Previous studies have focused primarily on tumor-associated protein-coding genes such as oncogenes and tumor suppressor genes, as well as their associated oncogenic pathways. However, noncoding RNAs (ncRNAs), rising stars in diverse physiological and pathological processes, have recently emerged as additional modulators in tumorigenesis. In this review, we focus on two typical kinds of ncRNAs: long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs). We describe the molecular patterns of ncRNAs and focus on the roles of ncRNAs in cancer stem cells (CSCs), tumor cells, and tumor environmental cells. CSCs are a small subset of tumor cells and are generally considered to be cells that initiate tumorigenesis, and dozens of ncRNAs have been defined as critical modulators in CSC maintenance and oncogenesis. Moreover, ncRNAs are widely involved in oncogenetic processes, including sustaining proliferation, resisting cell death, genome instability, metabolic disorders, immune escape and metastasis. We also discuss the potential applications of ncRNAs in tumor diagnosis and therapy. The progress in ncRNA research greatly improves our understanding of ncRNAs in oncogenesis and provides new potential targets for future tumor therapy.