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At least 19 recordsLinked to original sources

PubMed2026

Long noncoding RNAs and diabetic retinopathy: Current understanding, future directions and challenges.

Diabetic retinopathy remains as the leading cause of preventable blindness in working-aged people. The pathophysiology of this sight-threatening disease is complex and involves intricate interactions among metabolic, hemodynamic and epigenetic pathways, leading to molecular, structural, functional and genomic abnormalities in retinal vascular and nonvascular cells. Diabetes also results in differential expressions of several noncoding RNAs, including micro RNAs (miRNAs) and long noncoding RNAs (LncRNAs). Compared to about 2000 miRNA identified in human genome thus far, more than 30,000 LncRNA transcripts have been already identified, but the function and mechanism of action of most of the LncRNAs is still not fully characterized, and there remains a possibility that some LncRNAs could have diverse functions under different contexts. LncRNAs are mainly noncoding, but they have many regulatory functions, and regulate gene expression by interacting with DNA, RNA and protein. Aberrant expressions of several LncRNAs including MALAT1, MEG3, HOTAIR, MIAT1 and H19, is associated with metabolic abnormalities implicated in the pathogenesis of diabetic retinopathy. LncRNAs are also released into circulation and show high organ and cell specificity, and greater disease-associated differences compared to disease-associated mRNAs. Furthermore, LncRNAs maintain stable expression in the plasma and can be isolated from total RNA present in biological samples including blood, which makes them promising and reliable candidates for diagnostic or prognostic markers and therapeutic targets for various diseases. With continued improvement in innovative RNA modifications and delivery modalities, use of LncRNAs as possible biomarkers, and of LncRNA-based therapeutics, for diabetic retinopathy appears promising.

Biomarkers↗

PubMed2025

A Glimpse of Noncoding RNAs: Secondary Structure, Emerging Trends, and Potential Applications in Human Diseases.

An appealing strategy for the treatment of several diseases is the therapeutic targeting of noncoding RNAs (ncRNAs), such as microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). Many antisense oligonucleotides and small interfering RNAs have been tested in clinical studies over the past 10 years, and several of these have received FDA approval. However, trial results have thus far been mixed, with some studies reporting strong effects and others showing low effectiveness or side effects, including toxicity. Clinical trials for alternative entities like antimiRNAs are underway, and interest in lncRNA-based therapies is constantly growing. From this perspective, we discuss the basic overview of ncRNAs, their significant role as therapeutic biomarkers against different diseases, and the role of secondary structure in noncoding RNAs.

Humans↗

PubMed2026

Pseudogene-Derived Long Noncoding RNAs GSTM3P1/Gstm2-ps1 Exacerbate Sepsis-Associated Acute Kidney Injury by Suppressing Their Parent Gene Translation.

Long noncoding RNAs are emerging as critical regulators of acute kidney injury (AKI). In this study, the pathologic role of pseudogene-derived long noncoding RNAs GSTM3P1 (human)/Gstm2-ps1 (mouse) in sepsis-associated AKI (SA-AKI) was investigated. Glutathione S-transferase mu 3, pseudogene 1 (GSTM3P1)/glutathione S-transferase mu 2, pseudogene 1 (Gstm2-ps1) were transiently up-regulated in kidney proximal tubular cells at the early stage of SA-AKI in mice treated with lipopolysaccharide (LPS) or cecal ligation and puncture, as well as in LPS-treated proximal tubular cells. Functionally, overexpression of GSTM3P1/Gstm2-ps1 exacerbated LPS-induced proximal tubular cell apoptosis and oxidative stress. In contrast, proximal tubule-specific Gstm2-ps1 knockout mice were significantly protected from LPS-induced AKI, as evidenced by improved renal function and reduced apoptosis, kidney injury markers, and reactive oxygen species. Similarly, these mice showed renal protective effects against cecal ligation and puncture-induced AKI. Mechanistically, overexpression of GSTM3P1/Gstm2-ps1 in proximal tubular cells markedly suppressed parent gene GSTM3/GSTM2 protein but not mRNA expression, indicating a translational repression. Restoration of GSTM3/GSTM2 rescued proximal tubular cells from LPS-induced apoptosis. Furthermore, an RNA pulldown assay revealed that Gstm2-ps1 binds to human antigen R (HuR), a known post-transcriptional regulator for mRNA stability and translation. Overexpression of HuR antagonized Gstm2-ps1-mediated repression of GSTM2, associated with increased cell survival after LPS injury. In conclusion, the early induction of GSTM3P1/Gstm2-ps1 in SA-AKI exacerbates kidney injury by a novel mechanism to sequester HuR and inhibit the translation of parent gene GSTM3/gstm2 for oxidative stress detoxification.

Animals↗

PubMed2026

Overexpression of a subset of long intergenic noncoding RNAs in uterine serous carcinoma predicts poor prognosis.

The evaluation and prediction of uterine serous carcinoma (USC), a type of endometrial cancer that is more severe than endometrioid adenocarcinoma, remain challenging. Long noncoding RNAs (lncRNAs) are frequently dysregulated in human cancers. This study assessed the expression patterns and prognostic values of long intergenic noncoding RNAs (lincRNAs) in USC. RNA sequencing, copy number variation (CNV), and clinical data from The Cancer Genome Atlas were used to investigate various lncRNAs in endometrial cancer. LincRNAs, a major subclass of lncRNAs, exhibit specific expression patterns modulated by CNVs and act as predictors of poor prognosis, survival, and recurrence in USC. Functional analyses were conducted to investigate the roles of lncRNAs in USC. Finally, the expression of these lincRNAs was verified in 32 pairs of USCs collected from the hospital over 3 years. A series of lincRNAs were found to be specifically expressed in USC compared with other lncRNAs and regulated by CNV. Moreover, these specific upregulated lincRNAs, particularly ENSG00000281406, ENSG00000226791, ENSG00000269903, and ENSG00000204277, demonstrated poor prognoses for survival and recurrence in USC. Functionally, our analysis showed that ENSG00000281406 positively correlated with the Wnt signaling pathway, whereas ENSG00000226791, ENSG00000269903, and ENSG00000204277 negatively correlated with the T-cell receptor signaling pathway. Importantly, we confirmed that ENSG00000204277 negatively correlated with CD8+ T-cell immune infiltration in USC. Our results highlight that these lincRNAs can serve as new biomarkers for the prognostic prediction of USC. In particular, ENSG00000204277 may be used as a therapeutic target for USC.

Humans↗

PubMed2022

Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data.

Long noncoding RNAs (lncRNAs) play critical regulatory roles in human development and disease. Although there are over 100,000 samples with available RNA sequencing (RNA-seq) data, many lncRNAs have yet to be annotated. The conventional approach to identifying novel lncRNAs from RNA-seq data is to find transcripts without coding potential but this approach has a false discovery rate of 30-75%. Other existing methods either identify only multi-exon lncRNAs, missing single-exon lncRNAs, or require transcriptional initiation profiling data (such as H3K4me3 ChIP-seq data), which is unavailable for many samples with RNA-seq data. Because of these limitations, current methods cannot accurately identify novel lncRNAs from existing RNA-seq data. To address this problem, we have developed software, Flnc, to accurately identify both novel and annotated full-length lncRNAs, including single-exon lncRNAs, directly from RNA-seq data without requiring transcriptional initiation profiles. Flnc integrates machine learning models built by incorporating four types of features: transcript length, promoter signature, multiple exons, and genomic location. Flnc achieves state-of-the-art prediction power with an AUROC score over 0.92. Flnc significantly improves the prediction accuracy from less than 50% using the conventional approach to over 85%. Flnc is available via GitHub platform.

RNA-seq↗

PubMed2024

Expression profile of long noncoding RNAs and comprehensive analysis of lncRNA-cisTF-DGE regulation in condyloma acuminatum.

OBJECTIVE: To identify differentially expressed long noncoding RNAs (lncRNAs) in condyloma acuminatum (CA) and to explore their probable regulatory mechanisms by establishing coexpression networks. METHODS: High-throughput RNA sequencing was performed to assess genome-wide lncRNA expression in CA and paired adjacent mucosal tissue. The expression of candidate lncRNAs and their target genes in larger CA specimens was validated using real-time quantitative reverse transcriptase polymerase chain reaction (RT‒qPCR). Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used for the functional enrichment analysis of these candidate lncRNAs and differential mRNAs. The coexpressed mRNAs of the candidate lncRNAs, calculated by Pearson's correlation coefficient, were also analysed using GO and KEGG analysis. In addition, the interactions among differentially expressed lncRNAs (DElncRNAs)-cis-regulatory transcription factors (cisTFs)-differentially expressed genes (DEGs) were analysed and their network was constructed. RESULTS: A total of 546 lncRNAs and 2553 mRNAs were found to be differentially expressed in CA compared to the paired control. Functional enrichment analysis revealed that the DEGs coexpressed with DElncRNAs were enriched in the terms of cell adhesion and keratinocyte differentiation, and the pathways of ECM-receptor interaction, local adhesion, PI3K/AKT and TGF-ß signaling. We further constructed the network among DElncRNAs-cisTFs-DEGs and found that these 95 DEGs were mainly enriched in GO terms of epithelial development, regulation of transcription or gene expression. Furthermore, the expression of 3 pairs of DElncRNAs and cisTFs, EVX1-AS and HOXA13, HOXA11-AS and EVX1, and DLX6-AS and DLX5, was validated with a larger number of specimens using RT‒qPCR. CONCLUSION: CA has a specific lncRNA profile, and the differentially expressed lncRNAs play regulatory roles in mRNA expression through cis-acting TFs, which provides insight into their regulatory networks. It will be useful to understand the pathogenesis of CA to provide new directions for the prevention, clinical treatment and efficacy evaluation of CA.

RNA, Long Noncoding↗

PubMed2024

Small noncoding RNAs and sperm nuclear basic proteins reflect the environmental impact on germ cells.

BACKGROUND: Molecular techniques can complement conventional spermiogram analyses to provide new information on the fertilizing potential of spermatozoa and to identify early alterations due to environmental pollution. METHODS: Here, we present a multilevel molecular profiling by small RNA sequencing and sperm nuclear basic protein analysis of male germ cells from 33 healthy young subjects residing in low and high-polluted areas. RESULTS: Although sperm motility and sperm concentration were comparable between samples from the two sites, those from the high-pollution area had a higher concentration of immature/immune cells, a lower protamine/histone ratio, a reduced ability of sperm nuclear basic proteins to protect DNA from oxidative damage, and an altered copper/zinc ratio in sperm. Sperm levels of 32 microRNAs involved in intraflagellar transport, oxidative stress response, and spermatogenesis were different between the two areas. In parallel, a decrease of Piwi-interacting RNA levels was observed in samples from the high-polluted area. CONCLUSIONS: This comprehensive analysis provides new insights into pollution-driven epigenetic alterations in sperm not detectable by spermiogram.

Male↗

PubMed2025

Expression of long noncoding RNAs in peripheral blood mononuclear cells of patients with type 1 diabetes mellitus: potential biomarkers for disease onset.

OBJECTIVE: Long non-coding RNAs (lncRNAs) do not encode proteins and are transcripts longer than 200 nucleotides. The precise involvement of lncRNAs in type 1 diabetes mellitus (T1DM) pathogenesis remains unclear. Therefore, this study aimed to analyze the expressions of five lncRNAs in peripheral blood mononuclear cells of individuals with T1DM and without DM. MATERIALS AND METHODS: This study comprised 27 patients with T1DM (cases) and 13 individuals without DM (controls). The case group was divided into two subgroups based on T1DM duration: < 5 years of diagnosis group and long-term diabetes group (≥5 years). LncRNA expression was evaluated by qPCR. RESULTS: MALAT1 and TUG1 were upregulated in patients within the first five years of diagnosis of T1DM compared to the other groups. MEG3 was upregulated in the case group of < 5 years of diagnosis compared to controls. TUG1 and MALAT1 levels were negatively correlated with the duration of T1DM, while TUG1 and MEG3 were positively correlated with glycated hemoglobin levels. Bioinformatics analysis revealed that MALAT1, MEG3, and TUG1 regulate and interact with protein-codifying genes and microRNAs involved in T1DM-related pathways. CONCLUSION: Our study revealed MALAT1, MEG3, and TUG1 upregulation in patients within the first five years of diagnosis of T1DM.

Humans↗

PubMed2025

Identification and Analysis of Small Nucleolar RNAs by Real-Time Quantitative PCR.

One of the greatest scientific achievements of the twenty-first century is the completion of The Human Genome Project (HGP). Thereafter, we came to know that the human genome codes nearly 2% for making proteins and thus named as coding genes, suggesting the rest of the genome as noncoding or junk. However, research in the past two decades has shown and established that noncoding RNAs are major contributors of regulating and modulating the various function of cells as well as tissues. Noncoding RNAs can be classified as basis of their sizes in two categories, long noncoding RNAs (>200 nt) and small noncoding RNAs (<200 nt). Small nucleolar RNAs (snoRNAs) are part of the small noncoding RNA family and primarily reside inside the nucleus of eukaryotes. Sno RNAs can be divided into two major categories based on their distinguished structure and function; these are C/D box and HACA box snoRNAs. They participate in the posttranscriptional modifications on ribosomal RNAs (r-RNAs), transfer RNAs (t-RNAs), messenger RNAs (m-RNAs), and small nuclear RNAs (snRNAs). Sno RNAs act as guide RNAs to modify other noncoding RNAs by pseudouridylation or 2'O ribomethylation. We discussed in this protocol about one of the widely used techniques for detection and analysis of snoRNAs, i.e., real-time quantitative PCR (RT-qPCR).

RNA, Small Nucleolar↗

PubMed2025

DIS3 licenses B cells for plasma cell differentiation in humans.

DIS3 is the main catalytic subunit of the nuclear RNA exosome, a complex playing a crucial role in RNA processing and the degradation of various noncoding RNA substrates. In mice, DIS3 is essential for genomic rearrangements during B cell development, but its role in terminal plasma cell (PC) differentiation has not been explored. Although DIS3 gene alterations are frequent in multiple myeloma (MM), a PC malignancy, their molecular impact remains poorly understood. In this study, we developed an antisense oligonucleotide strategy to knock down DIS3 expression in a well-characterized model of human PC differentiation. Reducing DIS3 expression systematically led to decreased B cell proliferation and impaired PC differentiation with lower levels of switched immunoglobulin secretion. Transcriptome analyses confirmed alterations in the proliferation and differentiation programs, alongside an accumulation of noncoding RNAs. Notably, centromere-associated noncoding RNAs were highly sensitive to DIS3 activity, and their accumulation in DIS3-deficient cells, either as transcripts or DNA-associated RNAs, correlated with the mislocalization of the centromere-specific histone variant CENP-A. We finally observed reduced physiological DNA recombination and somatic hypermutation but increased genomic instability in DIS3-deficient cells, in agreement with the higher levels of IGH translocations observed in our large cohort of DIS3-mutant MM patients. Together, these results underscore the essential role of DIS3 in regulating B cell proliferation, DNA recombination, and physiological or malignant PC differentiation in humans.

Humans↗

PubMed2026

Nuclear exosome targeting complexes modulate cohesin binding and enhancer-promoter interactions in 3D.

Three-dimensional long-range contacts between enhancers and promoters are thought to be largely determined by loop extrusion driven by the cohesin complex and insulator factors. However, recent evidence also suggests a role for noncoding RNAs, such as enhancer-associated RNAs and promoter upstream transcripts, in shaping enhancer-promoter connectivity. While the nuclear RNA exosome, together with targeting complexes, poly(A) tail exosome targeting connection and nuclear exosome targeting complex, controls the decay of noncoding RNAs, it remains unclear whether these complexes regulate three-dimensional chromatin contacts. Chromatin recruitment maps of the nuclear exosome targeting complex subunit ZCCHC8, the poly(A) tail exosome targeting connection subunit ZFC3H1, and the RNA helicase MTR4 in human cells reveal that these factors associate with sites of enhancer-promoter interactions. Depletion of these factors leads to the accumulation of ncRNAs, notably enhancer-associated RNAs and promoter upstream transcripts, and increases cohesin occupancy at these sites. Chromatin conformation capture analysis reveals that MTR4 modulates long-range enhancer-promoter contacts. Upon loss of MTR4, enhancer-promoter contacts increase while intraloop contacts decrease, suggesting that MTR4 facilitates loop extrusion. These data highlight a key interplay between cohesin-mediated enhancer-promoter interactions and the regulation of noncoding RNAs by nuclear RNA exosome targeting complexes that is consistent with a role for RNA in genome folding.

Cohesins↗

PubMed2025

Widespread induction of SINE-RNA expression in the mouse brain following transient focal ischemia.

Ischemic stroke triggers rapid transcriptional changes in the brain, including the induction of noncoding RNAs, which are well-established regulators of post-stroke pathophysiology. Among the numerous classes of noncoding RNAs, short interspersed nuclear element RNAs (SINE-RNAs) are transcribed by Pol III and reported to be upregulated in various paradigms of cellular stress. In the ischemic brain, Pol III-driven gene expression is not well-studied and the expression of SINE-RNAs is virtually unmapped. In the current study, we used a mouse model of transient focal ischemia to evaluate for the first time post-stroke SINE-RNA expression in the cerebral cortex on a genome-wide scale. We observed SINE-RNA induction as early as 0 to 3 h of reperfusion and peak expression at 6 h of reperfusion, with 335 SINE-RNAs induced at this timepoint as compared to sham controls. Many of these transcripts remained induced through later timepoints during the acute phase of reperfusion (24 h). Fluorescence in situ hybridization against the SINE-RNAs, combined with immunohistochemistry for cell-type markers, revealed that these RNAs are localized to the nuclei of post-ischemic neurons and microglia in the ipsilateral cortex and hippocampus in both males and females. Further, we found that SINE-RNA expression was recapitulated in vitro following oxygen-glucose deprivation in HT22 hippocampal neurons, showing that they are reproducibly expressed in neurons in both in vivo and in vitro models of ischemia. Together, this is the first study to map genome-wide SINE-RNA expression in the post-ischemic brain and reveals a new layer of the noncoding transcriptome that may play a role in the post-stroke pathophysiology.

Animals↗

PubMed2025

Quantitative Real-Time PCR for Circular RNA Detection and Analysis.

In eukaryotes, nearly 2% of the genome represented by the coding proteins. However, emerging evidence suggest more than 75% of the human genome referred to as noncoding part also plays a crucial role in governing major regulatory pathways. Noncoding RNAs can be categorized into several groups, such as microRNAs (miRNAs), small nuclear RNA (snRNAs), small nucleolar RNA (snoRNAs), transfer RNA (tRNA), and circular RNA (circRNAs), which contribute to this regulatory landscape. Circular RNAs (circRNAs) are identified as a new class of regulatory noncoding RNAs with gene regulatory roles by acting as miRNA or RNA binding protein sponges or interacting with proteins. Researchers employ quantitative real-time PCR methods to examine circular RNA expression utilizing divergent primers for identification and quantification.

RNA, Circular↗

PubMed2025

Popcorn: prediction of short coding and noncoding genomic sequences in prokaryotes.

SUMMARY: The most challenging prokaryotic genes to identify often correspond to short ORFs (sORFs) encoding small proteins or to noncoding RNAs. RNA-seq experiments commonly evince small transcripts that do not correspond to annotated genes and are candidates for novel coding sORFs or small regulatory RNAs, but it can be difficult to accurately assess whether the numerous small transcripts are coding or not. We present Popcorn (PrOkaryotic Prediction of Coding OR Noncoding), a novel machine learning method for determining whether prokaryotic sequences are coding or noncoding. We find that Popcorn is effective in distinguishing coding from noncoding sequences, including coding sORFs and noncoding RNAs. AVAILABILITY AND IMPLEMENTATION: Freely available for use on the web at https://cs.wellesley.edu/∼btjaden/Popcorn. Source code available at https://github.com/btjaden/Popcorn and https://doi.org/10.5281/zenodo.15120075.

Open Reading Frames↗

PubMed2025

A general framework to over-express tRNA-derived fragments from their parental tRNAs in mammalian cells.

tRNA-derived fragments (tRFs), generated from the cleavage of mature or precursor tRNAs are a category of regulatory noncoding RNAs with diverse functions in physiological or pathophysiological conditions. Here we describe a framework for the over-expression of tRFs from their parental tRNAs in mammalian cells. The process involves bioinformatics analysis to identify specific tRNAs that produce the tRF, PCR amplification of corresponding tRNA genes, and insertion into expression vectors. Transfection is carried out in HEK293T cells and detection of tRFs is achieved through northern blotting and dual luciferase reporter assays. In the latter, a complementary sequence to the tRF of interest is inserted into the luciferase reporter. By observing the reduction in luciferase activity, we can validate the expression of tRFs. This method enables precise study of tRF functions and their roles in cellular processes.

Humans↗

PubMed2025

Global lncRNA expression profiles in medulloblastoma reveal crucial lncRNA-oncogene interactions in Sonic hedgehog and Group 4.

BACKGROUND: Advances in multi-omic studies have improved medulloblastoma (MB) characterization, yet novel molecular biomarkers are needed to refine tumor biology and therapeutic strategies. Current profiling mainly targets the protein-coding genome, while the potential of noncoding regions remains unexplored. This study aims to identify long noncoding RNAs (lncRNAs), emerging as crucial regulators in MB, as potential key biomarkers specific to molecular group, enhancing understanding of MB's genomic landscape. METHODS: RNA-seq data from 54 Spanish MB patients (C1) and 207 public samples (C2) were analyzed to profile lncRNAs. Expression and Weighted Gene Coexpression Network (WGCNA) analyses were performed to identify lncRNA-oncogene interactions. Group-specific interactions were examined to infer their role in MB pathogenesis and highlight potential lncRNA involvement in disease mechanisms. RESULTS: LncRNA expression profiles identified 4 clusters corresponding to the MB molecular groups, confirming their potential as biomarkers. Expression and WGCNA analyses revealed group-specific lncRNAs for Sonic hedgehog (SHH), Group 3 (Gr3), and Group 4 (Gr4) MB. Lnc-SMARCA2 was exclusively upregulated in SHH MB, and associated with ATOH1 and PDLIM3, key cilium regulators of this group's cell of origin. In Gr4 MB, MGC32805 and LOC107986446 were upregulated and linked to SNCAIP, potentially influencing PRDM6 activation via enhancer hijacking. Additionally, a 5-lncRNA signature linked to phototransduction was exclusive to Gr3, offering insights into its lineage switch and molecular regulation. CONCLUSIONS: Lnc-SMARCA2 and, MGC32805 and LOC107986446, are exclusively deregulated in SHH and Gr4 MB, respectively, and directly associated with group-specific MB oncogenes, representing promising novel biomarkers and therapeutic targets in MB.

cancer biomarkers↗

PubMed2025

Identification and external validation of a prognostic signature based on myeloid-derived suppressor cells-related LncRNAs to evaluate survival prognosis and treatment efficacy in invasive breast carcinoma.

BACKGROUND: Originating in the hematopoietic tissue, myeloid-derived suppressor cells (MDSCs) significantly contribute to tumor-related immunological processes. However, their relationship with long noncoding RNAs (lncRNAs) and breast cancer remains incompletely understood. In this study, we introduced MDSCs-associated lncRNAs as novel prognostic biomarkers to assess outcomes in patients with invasive breast carcinoma (BRCA). METHODS: Information regarding BRCA cases, including clinical and genomic details, was obtained from the TCGA repository. Predictive indicators were discovered, and their reliability underwent thorough verification. A clinically useful nomogram was developed following application-based validation. Additional investigations encompassed functional analysis, TMB assessment, TME profiling, immunotherapy efficacy forecasting, and drug sensitivity testing along with target identification. Long non-coding RNA expression was measured using reverse transcription quantitative PCR. RESULTS: A risk stratification model incorporating eight MDSCs-related lncRNAs effectively predicted patient outcomes. Kaplan-Meier (K-M) survival analysis clearly indicated a much worse prognosis among patients classified as high-risk (p < 0.001). The nomogram accurately forecasted overall survival (OS). Analysis of functional enrichment revealed that pathways associated with epithelial cells showed activity among patients at higher risk. Characterization of the tumor microenvironment showed increased immune cell presence in those classified as low-risk. Conversely, individuals with greater risk displayed higher tumor mutational burden. TIDE and IPS analyses indicated superior immunotherapy responsiveness in the low-risk BRCA subgroup. Among 47 drugs with notable IC50 variations, Ribociclib, PD173074, KU-55933, NU7441, and nutlin-3a exhibited lower IC50 values within the low-risk group, whereas Lapatinib demonstrated greater efficacy among the high-risk group. Moreover, 10 potential therapeutic agents and their targets were predicted for high-risk patients. RT-qPCR validation confirmed the robustness of the model. CONCLUSIONS: We successfully verified a new model of molecular markers of MDSCs-related lncRNAs, offering critical insights for predicting outcomes and guiding therapeutic decisions in BRCA cases.

Bioinformatics↗

PubMed2025

In Vivo CRISPR Interference Screen Reveals Long Noncoding RNA Portfolio Crucial for Cutaneous Squamous Cell Carcinoma Tumor Growth.

Cutaneous squamous cell carcinoma (cSCC) accounts for 20% of all skin cancer mortality globally, making it the second-highest subtype of skin cancer. The high prevalence of cSCC in humans highlights the need to uncover alternative actors and mechanisms influencing skin cancer development. Significant advances have been made to better understand some key factors in cSCC growth. However, little is known about the role of noncoding RNAs, particularly of a specific subclass termed long noncoding RNA (lncRNA). By performing pseudobulk analysis of single-cell sequencing data from normal and cSCC human skin tissues, we determined a global portfolio of lncRNAs specifically expressed in keratinocyte subpopulations. Integration of CRISPR interference screens in vitro and the xenograft model identified several lncRNAs impacting the growth of cSCC cancer lines both in vitro and in vivo. Among these, we further validated LINC00704 and LINC01116 as proliferation-regulating lncRNAs in cSCC lines and potential biomarkers of cSCC growth. Taken together, our study provides a comprehensive signature of lncRNAs with roles in regulating cSCC growth.

RNA, Long Noncoding↗