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Results for “Long noncoding RNAs”

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PubMed2026

Identification of a necroptosis-related lncRNA prognostic signature and the hub RBP HNRNPK in esophageal squamous cell carcinoma.

ObjectiveEsophageal squamous cell carcinoma (ESCC) is a malignant tumor with poor prognosis. Necroptosis is important for tumor immunity, but its role in ESCC remains unclear. This retrospective bioinformatics study aimed to investigate the prognostic value of necroptosis-related long non-coding RNAs (lncRNAs) and to identify key lncRNA-binding proteins (RBPs) in ESCC patients.MethodsRNA transcriptome and clinical data of ESCC patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Necroptosis-related lncRNAs were identified through correlation analysis with necroptosis-related genes, subjected to consensus cluster analysis, and used to construct a prognostic risk model via least absolute shrinkage and selection operator (LASSO) regression. The hub RBP was experimentally validated by quantitative polymerase chain reaction (qPCR) using 30 pairs of ESCC and adjacent normal tissues from patients who underwent surgical resection.ResultsA total of 30 necroptosis-related lncRNAs were significantly correlated with overall survival (OS). The upregulated lncRNAs in the risk model were associated with high immune scores, innate immune cell infiltration, cluster 2 classification, and advanced T-stage disease (p < 0.05). Three hub RBPs (HNRNPA1, HNRNPC, and HNRNPK) were identified through protein-protein interaction network analysis. qPCR confirmed that HNRNPK was significantly overexpressed in ESCC tissues compared to adjacent normal tissues (p < 0.05).ConclusionsThe necroptosis-related lncRNA risk model is an independent prognostic factor for ESCC patients. HNRNPK was identified as a hub RBP significantly overexpressed in ESCC tissues. We hypothesize that HNRNPK may promote tumor progression through regulating proto-oncogene expression or modulating the immune microenvironment, though this requires further mechanistic validation.

Humans↗

PubMed2025

Northern Blotting: Protocols for Radioactive and Nonradioactive Detection of RNA.

Northern blotting is a common technique in RNA biology, allowing to detect and quantify RNAs of interest following separation by gel electrophoresis, transfer to a membrane, and hybridization of specific anti-complementary labelled probes. In this chapter, we describe our protocol for efficient RNA extraction from yeast, separation on agarose gel, and capillary transfer to a membrane. We provide two different methods for strand-specific detection of several types of RNAs using oligonucleotide probes, the first using radioactive 32P-labelled probes, the second based on nonradioactive digoxigenin-labelled probes.

Blotting, Northern↗

PubMed1987

Sequence and translation of the murine coronavirus 5'-end genomic RNA reveals the N-terminal structure of the putative RNA polymerase.

A 28-kilodalton protein has been suggested to be the amino-terminal protein cleavage product of the putative coronavirus RNA polymerase (gene A) (M.R. Denison and S. Perlman, Virology 157:565-568, 1987). To elucidate the structure and mechanism of synthesis of this protein, the nucleotide sequence of the 5' 2.0 kilobases of the coronavirus mouse hepatitis virus strain JHM genome was determined. This sequence contains a single, long open reading frame and predicts a highly basic amino-terminal region. Cell-free translation of RNAs transcribed in vitro from DNAs containing gene A sequences in pT7 vectors yielded proteins initiated from the 5'-most optimal initiation codon at position 215 from the 5' end of the genome. The sequence preceding this initiation codon predicts the presence of a stable hairpin loop structure. The presence of an RNA secondary structure at the 5' end of the RNA genome is supported by the observation that gene A sequences were more efficiently translated in vitro when upstream noncoding sequences were removed. By comparing the translation products of virion genomic RNA and in vitro transcribed RNAs, we established that our clones encompassing the 5'-end mouse hepatitis virus genomic RNA encode the 28-kilodalton N-terminal cleavage product of the gene A protein. Possible cleavage sites for this protein are proposed.

Amino Acid Sequence↗

PubMed1988

Structure of the rat insulin-like growth factor II transcriptional unit: heterogeneous transcripts are generated from two promoters by use of multiple polyadenylation sites and differential ribonucleic acid splicing.

The rat insulin-like growth factor II (rIGF-II) gene, which exists as a single copy in the genome, is expressed as a multitranscript family of mRNA molecules ranging in size from 4.6 to 1 kilobases. Part of this heterogeneity can be ascribed to the presence of two different promoters, each transcribing alternative 5'-noncoding regions which are spliced to common coding exons. In the present study we use a combination of DNA sequence analysis of the gene, mapping of the mRNA molecules by Northern analysis and ribonuclease protection experiments, and DNA sequence analysis of cDNA clones complementary to different regions of the genome to establish the structure of several rIGF-II mRNA species. These results indicate that RNA heterogeneity also arises from the use of different polyadenylation sites. In addition, a variant 2 kilobases RNA was observed that was colinear with the distal 1700 base pairs of the 3147 base pair long exon 3, and may arise by alternative RNA splicing. These posttranscriptional modifications of RNAs arising from the rIGF-II transcription unit may generate molecules with different functional potential.

Animals↗

PubMed2024

Whole transcriptome sequencing analyses of islets reveal ncRNA regulatory networks underlying impaired insulin secretion and increased β-cell mass in high fat diet-induced diabetes mellitus.

AIM: Our study aims to identify novel non-coding RNA-mRNA regulatory networks associated with β-cell dysfunction and compensatory responses in obesity-related diabetes. METHODS: Glucose metabolism, islet architecture and secretion, and insulin sensitivity were characterized in C57BL/6J mice fed on a 60% high-fat diet (HFD) or control for 24 weeks. Islets were isolated for whole transcriptome sequencing to identify differentially expressed (DE) mRNAs, miRNAs, IncRNAs, and circRNAs. Regulatory networks involving miRNA-mRNA, lncRNA-mRNA, and lncRNA-miRNA-mRNA were constructed and functions were assessed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. RESULTS: Despite compensatory hyperinsulinemia and a significant increase in β-cell mass with a slow rate of proliferation, HFD mice exhibited impaired glucose tolerance. In isolated islets, insulin secretion in response to glucose and palmitic acid deteriorated after 24 weeks of HFD. Whole transcriptomic sequencing identified a total of 1324 DE mRNAs, 14 DE miRNAs, 179 DE lncRNAs, and 680 DE circRNAs. Our transcriptomic dataset unveiled several core regulatory axes involved in the impaired insulin secretion in HFD mice, such as miR-6948-5p/Cacna1c, miR-6964-3p/Cacna1b, miR-3572-5p/Hk2, miR-3572-5p/Cckar and miR-677-5p/Camk2d. Additionally, proliferative and apoptotic targets, including miR-216a-3p/FKBP5, miR-670-3p/Foxo3, miR-677-5p/RIPK1, miR-802-3p/Smad2 and ENSMUST00000176781/Caspase9 possibly contribute to the increased β-cell mass in HFD islets. Furthermore, competing endogenous RNAs (ceRNA) regulatory network involving 7 DE miRNAs, 15 DE lncRNAs and 38 DE mRNAs might also participate in the development of HFD-induced diabetes. CONCLUSIONS: The comprehensive whole transcriptomic sequencing revealed novel non-coding RNA-mRNA regulatory networks associated with impaired insulin secretion and increased β-cell mass in obesity-related diabetes.

Mice↗

PubMed1991

Host-derived 5' ends and overlapping complementary 3' ends of the two mRNAs transcribed from the ambisense S segment of Uukuniemi virus.

Two mRNAs, coding for the N and NSS proteins, are transcribed from the small (S) Uukuniemi virus RNA segment by an ambisense strategy (J. F. Simons, U. Hellman, and R. F. Pettersson, J. Virol. 64:247-255, 1990). In this report, we describe the analysis of the 5' and 3' ends of the two mRNAs. Primer extension as well as cloning and sequencing of individual mRNAs showed that the 5' ends of both mRNAs contained nonviral sequences ranging from 7 to 25 residues in length (mean, 12 residues), indicating a cap-snatching mechanism similar to the one originally described for priming of influenza virus mRNA synthesis. In 35% of the cases, the first virion-specified nucleotide (an A residue) was substituted with a G residue. Between the translation termination codons of N and NSS, there is a 74-residue-long noncoding intergenic region (Simons et al., J. Virol. 64:247-255, 1990). Nuclease protection assays using both RNA and DNA hybridization probes showed that the 3' ends of the N and NSS mRNAs overlap each other by about 100 nucleotides. The 3' end of the NSS mRNA extends into the coding sequence of the N mRNA, whereas the N mRNA is terminated just prior to the stop codon of NSS. To our knowledge, this is the first example of overlapping complementary mRNAs in viruses with an ambisense coding strategy. No obvious transcription termination sequence was identified. However, because of a short palindromic sequence in the intergenic region, the 3' ends of both mRNAs (and consequently also the template RNAs) can be folded into an A/U-rich hairpin structure. It remains to be determined whether this structure plays any role in transcription termination.

Amino Acid Sequence↗

PubMed1981

Primary sequence of the 5' flanking regions of the Drosophila heat shock genes in chromosome subdivision 67B.

The 5' flanking regions of the four small heat shock genes of Drosophila melanogaster from cytological locus 67B have been characterized. Approximately 500 bp of the primary sequence upstream from the proposed site of initiation of translation has been determined and the 5' end of the messenger RNAs have been localized for each gene. Each of the four genes contains an A-T rich sequence, either TATAAATA or TATAAAAG, which is flanked by a G-C rich region. This A-T rich sequence, which ends about 23 bp upstream from the proposed site of initiation of transcription, is similar to those found in most eukaryotic genes. Novel features of these four genes include a region of homology beginning near the proposed site of initiation of transcription and extending about 20 bp into the 5' noncoding region of the genes. This sequence is also found in the gene for the major heat shock protein, hsp 70. The leaders of these five heat shock genes are long, from 111 to 253 bases in length, as well as unusually A rich, from 46% to 51% A. In addition, each of the four small genes contains the sequence ACTTTNA, 195 +/- 12 bp from the proposed site of initiation of transcription.

Animals↗

PubMed1985

Five pseudoknots are present at the 204 nucleotides long 3' noncoding region of tobacco mosaic virus RNA.

The 104 nucleotides long 3' terminal region of TMV RNA was shown previously to contain two pseudoknotted structures (Rietveld et al. (1984), EMBO J. 3, 2613-2619). We here present evidence for the occurrence, within the 204 nucleotides long 3' noncoding region, of another highly structured domain located immediately adjacent to the tRNA-like structure of 95 nucleotides (Joshi et al. (1985) Nucleic Acids Res. 13, 347-354). A model for the three-dimensional folding of this region, containing three more pseudoknots, is proposed on the basis of chemical modification and enzymatic digestion. The existence of these three consecutive pseudoknots was supported by sequence comparisons with the RNA from the related tobamoviruses TMV-L, CcTMV and CGMMV. Coaxial stacking of the six double helical segments involved gives rise to the formation of a 25 basepair long quasi-continuous double helix. The results show that the three-dimensional folding of the 3' non-translated region of tobamoviral RNAs is largely maintained by the formation of five pseudoknots. The organisation of this region in the RNA of the tobamovirus CcTMV suggests that recombinational events among aminoacylatable plant viral RNAs have to be considered.

Base Sequence↗

PubMed2026

Beyond Canonical Neoantigens: Emerging Technologies for Identification of Noncanonical Antigens and Implications for Personalized Cancer Vaccines.

Over the past decade, advances in sequencing technologies and computational pipelines enabled the development of personalized cancer vaccines (PCVs). Current PCV strategies primarily target cancer neoantigens generated by non-synonymous DNA mutations, which can result in altered amino acid sequences capable of eliciting tumor-specific immune responses. More recently, a distinct class of tumor-specific antigens (TSA), termed noncanonical or cryptic antigens, has emerged as an additional source of immunogenic targets. Unlike canonical neoantigens, noncanonical antigens typically cannot be identified by tumor/normal whole-exome sequencing, as they do not arise from classical DNA mutations. Instead, they are often associated with less well recognized and/or aberrant processes in the pathways from DNA to human leukocyte antigen (HLA)-presented peptides. Examples include transposable elements, circular RNA, translation of alternative open reading frames and/or long non-coding RNA, among others. Emerging evidence suggests that noncanonical antigens represent a substantial portion of the tumor-specific immunopeptidome and, similar to canonical neoantigens, are absent during thymic selection and can evade central tolerance and elicit T cell responses. Technological advances have increasingly facilitated the identification of noncanonical antigens. Long-read RNA sequencing reveals noncanonical transcripts by improving transcriptome assembly, while ribosome profiling provides genome-wide maps of actively translated regions, facilitating the discovery of peptides from aberrant translation events. Specialized molecular approaches enable enrichment and sequencing of circular RNAs, and immunopeptidomics using mass spectrometry allows for direct characterization of HLA-presented peptides. Together, these technological advances have led to an increasing interest in prioritizing and targeting noncanonical antigens in the next generation of PCVs. This review provides an overview of the diverse origins of TSAs beyond classical neoantigens and discusses emerging approaches that may enable the integration of these antigens in future clinical trials.

circular RNA↗

PubMed1990

cis-acting sequences required for in vivo amplification of genomic RNA3 are organized differently in related bromoviruses.

Cowpea chlorotic mottle virus (CCMV) is a positive-strand RNA virus that infects dicotyledonous plants. The genome comprises three capped RNAs: RNA1 (3.2 kb), RNA2 (2.9 kb), and RNA3 (2.1 kb). cis-Acting sequences required for amplification in vivo were explored for RNA3, which does not contribute trans-acting factors to viral RNA replication. Using a CCMV cDNA expression system, deletions throughout RNA3 were constructed and tested for successful replication in barley protoplasts coinoculated with RNAs 1 and 2. As previously found for RNA3 of the related brome mosaic virus (BMV) (R. French and P. Ahlquist, 1987, J. Virol. 61, 1457-1465), either of the two coding regions can be individually deleted without blocking RNA3 amplification. However, in striking contrast to BMV, the entire intercistronic noncoding region separating these genes is also dispensable for CCMV RNA3 amplification. Moreover, although simultaneous deletions of the 3a and coat protein genes were deleterious for BMV RNA3 accumulation, CCMV RNA3 derivatives bearing larger deletions encompassing the 3a gene, intercistronic region, and coat protein gene amplify to high levels. Thus, unlike BMV RNA3, cis-acting sequences required for CCMV RNA3 amplification map solely in the 5' and 3' noncoding regions. Normal levels of CCMV RNA3 accumulation require over 125 but no more than 220 bases from the 3' noncoding region, and no more than the first 89 bases of the 238-base-long 5' noncoding region.

Chromosome Deletion↗

PubMed2025

Expression regulation network in papillae of sea cucumbers: Whole-transcriptome and DNA methylation datasets.

To elucidate the expression regulation network of papilla size of sea cucumbers (Apostichopus japonicus), the whole-transcriptome and DNA methylome datasets of different sizes of papillae in sea cucumbers were generated. Average clean bases of whole-transcriptome (16.35 G) and DNA methylome (28.92 G) were obtained using RNA sequencing and whole-genome bisulfite sequencing techniques. A total of 3,188 ceRNA networks were also identified including 3,081 long non-coding RNAs (lncRNA)/microRNAs (miRNA)/mRNA networks and 107 circular RNA (circRNA)/miRNA/mRNA networks. Methylome data indicate that there were 3,307 and 3,776 differentially methylated regions (DMRs) with high-level methylation as well as 3,125 and 3,016 DMRs with low-level methylation in big papillae compared to small papillae. The identified DMRs were mainly distributed in introns, promotors, or exons. The whole-transcriptome and DNA methylome datasets generated from this study not only established a robust theoretical foundation (especially from the epigenetic aspect) for elucidating expression regulation network determining papilla size in sea cucumbers but also can be a valuable resource of biomarker mining for papilla appearance-based selective breeding in sea cucumbers.

DNA Methylation↗

PubMed2026

Contrasting regulation of protein-coding genes and lncRNA homeologs in allotetraploid Coffea arabica.

A chromosome-level Bourbon assembly revealed that protein-coding homeologs are predominantly co-regulated between subgenomes. In contrast, intergenic lncRNAs display a modest, but statistically consistent bias toward subgenome E across diverse developmental and stress contexts. Coffea arabica is an allotetraploid species derived from natural hybridization between C. canephora and C. eugenioides, which contributed the C and E subgenomes, respectively. This genomic origin poses major challenges for genome assembly, annotation, and the interpretation of gene regulation. In this study, a high-quality genome assembly of C. arabica was generated and annotated, with particular emphasis on identifying protein-coding genes and intergenic long non-coding RNAs (lincRNAs). Homeologous relationships between genes from the C and E subgenomes were established, providing a robust framework to investigate subgenomic conservation and regulatory divergence. Using an extensive collection of publicly available RNA-seq libraries spanning multiple developmental stages, tissues, and environmental conditions, the relative transcriptional contribution of each subgenome was evaluated. On a global scale, gene expression was largely balanced between subgenomes, with no consistent evidence of subgenome dominance. While protein-coding genes showed comparable regulatory behavior across subgenomes, lincRNAs exhibited a more asymmetric expression pattern, suggesting higher subgenome-specific expression that is interpreted here as a consistent directional tendency rather than as evidence of subgenome dominance. Together, these results provide new insights into the regulatory architecture of the C. arabica genome and establish a foundational genomic and transcriptomic resource for future functional studies and crop improvement efforts.

Coffea↗

PubMed2025

Genome-Wide Mining of lncRNAs Reveals Their Potential Regulatory Role in the Evolution of Viviparity.

Reproduction in vertebrates usually involves egg-laying (oviparity) or live-bearing (viviparity). Oviparity is the ancestral trait from which viviparity has independently evolved more than 100 times in squamate reptiles. This transition involves a series of physiological and structural changes, including the degeneration of eggshell and the evolution of a placenta and differences in the temporal and spatial expression patterns of some functional genes that drive the structural transformation. Long non-coding RNAs (lncRNAs) play important roles in the regulation of gene expression, yet it remains unclear whether they participate in gene expression shifts during the transition from oviparity to viviparity, and if so how. Therefore, we employ deep mining to identify novel lncRNAs of a closely related oviparous-viviparous pair of lizards (Phrynocephalus przewalskii and P. vlangalii). We construct cis- and trans-regulatory networks between lncRNAs and target genes using the transcriptomic data of oviduct or uteri tissues across reproductive periods. Results show that lncRNAs that regulate eggshell gland developmental genes in the oviparous lizard are lost or less expressed in the viviparous lizard. A number of lncRNAs involved in the regulation of placental development and embryo attachment in viviparous species have no orthologs in oviparous species, and others show little or no expression. Accordingly, lncRNAs may play important regulatory roles in the physiological and structural changes in the transition from oviparity to viviparity. These results open doors to the further elucidation of genetic regulatory networks.

Animals↗

PubMed2026

Transcriptome changes in circulating immune cells of critical COVID-19 patients predict a specific metabolic and epigenetic imprint.

BACKGROUND: The progression to critical COVID-19 arises predominantly from a dysregulated host immune response although the underlying regulatory mechanisms still remain partially elusive. This limits a prompt prediction of the disease progression, reduces the therapeutic options and restrains our understanding of “long COVID”. METHODS: Here, we analyzed the transcriptome of peripheral blood mononuclear cells (PBMCs) collected from COVID-19 patients experiencing different degrees of the disease (mild and critical), and control patients enrolled in the clinical trial COntAGIouS as well as independent bulk RNA-seq, single-cell RNA-seq and proteomic datasets. RESULTS: In critical COVID-19 patients, the integrative analysis of transcriptomic data revealed an altered regulatory network involving microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and coding genes that control mRNA translation-related genes, epigenetics, and metabolism. In parallel, we observed an upregulation of tRNA aminoacylation genes in critical COVID-19 patients by the analysis of either bulk or single-cell RNA-seq data from publicly available independent cohorts. Additionally, we found increased expression of coding genes enriched for the cognate amino acids (glycine, alanine, isoleucine and tyrosine), all related to protein localization, post-translational modifications, and cell metabolism in our cohort. Similar alterations in amino acid frequency were found in an independent proteomic dataset. CONCLUSIONS: Collectively, our findings indicate a broad perturbation of the gene expression landscape that characterizes the aberrant host immune response in critical COVID-19 patients and is potentially coordinated by miRNA and tRNA metabolism alterations. TRIAL REGISTRATION: COntAGIouS, NCT04327570. Registered 26 March 2020, https://clinicaltrials.gov/ct2/show/NCT04327570 .

Female↗

PubMed2024

Ageing-associated long non-coding RNA extends lifespan and reduces translation in non-dividing cells.

Genomes produce widespread long non-coding RNAs (lncRNAs) of largely unknown functions. We characterize aal1 (ageing-associated lncRNA), which is induced in quiescent fission yeast cells. Deletion of aal1 shortens the chronological lifespan of non-dividing cells, while ectopic overexpression prolongs their lifespan, indicating that aal1 acts in trans. Overexpression of aal1 represses ribosomal-protein gene expression and inhibits cell growth, and aal1 genetically interacts with coding genes functioning in protein translation. The aal1 lncRNA localizes to the cytoplasm and associates with ribosomes. Notably, aal1 overexpression decreases the cellular ribosome content and inhibits protein translation. The aal1 lncRNA binds to the rpl1901 mRNA, encoding a ribosomal protein. The rpl1901 levels are reduced ~2-fold by aal1, which is sufficient to extend lifespan. Remarkably, the expression of the aal1 lncRNA in Drosophila boosts fly lifespan. We propose that aal1 reduces the ribosome content by decreasing Rpl1901 levels, thus attenuating the translational capacity and promoting longevity. Although aal1 is not conserved, its effect in flies suggests that animals feature related mechanisms that modulate ageing, based on the conserved translational machinery.

RNA, Long Noncoding↗

PubMed2026

LncRNA HAR1A in triple-negative breast cancer: mechanisms and the role of polymorphism rs 6089838 in susceptibility.

BACKGROUND: Long non-coding RNAs (lncRNAs) are increasingly recognized as crucial regulators and potential biomarkers in triple-negative breast cancer (TNBC). This study examined the link between the rs6089838 polymorphism in HAR1A and TNBC susceptibility/progression and function. RESEARCH DESIGN AND METHODS: 197 TNBC patients and 185 healthy controls were recruited. Rs6089838 genotyping and serum lncRNA HAR1A quantification were performed using qRT PCR. Survival was analyzed via KM and Cox regression.. Cellular proliferation, migration, and invasion were measured using CCK-8 and Transwell assays. RESULTS: The GG genotype significantly lowered TNBC risk versus the AA genotype (OR =0.393, p = 0.002). GA/GG genotypes were associated with more favorable clinicopathological features. Serum lncRNA HAR1A was downregulated in TNBC patients (p < 0.001) and was positively correlated with the protective G allele frequency (p < 0.001). GA/GG carriers showed significantly longer overall survival than AA homozygotes (p < 0.001). Functional studies confirmed that HAR1A overexpression via pcDNA3.1 suppressed proliferation, migration, and invasion in breast cancer cell lines. Conversely, siRNA-mediated lncRNA HAR1A knockdown enhanced these oncogenic traits. CONCLUSION: The G allele of HAR1A rs6089838 represents a protective variant against TNBC susceptibility and progression, likely through HAR1A's tumor-suppressive activity. This SNP may have potential as a biomarker for TNBC risk and prognosis assessment.

Humans↗

PubMed2026

A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.

MOTIVATION: Long non-coding RNAs (lncRNAs) have emerged as crucial players in diverse physiological and pathological processes, yet the biological mechanisms of the vast majority of lncRNAs remain elusive. To fill this gap, it is necessary to improve the accuracy of lncRNA identification and functional annotation. RESULTS: Here, we introduce LncADeep 2.0, an integrated deep learning framework designed to meet these needs. In the identification module, LncADeep 2.0 incorporated novel peptide features along with sequence and structural information, demonstrating superior performance over our previous LncADeep and other existing tools on both annotated transcripts from GENCODE and RNA-seq data. For functional annotation, LncADeep 2.0 leveraged lncRNA-centric interaction networks and gene ontology terms through the transfer learning strategy to achieve robust annotation performance with limited functional data. Compared to LncADeep, LncADeep 2.0 could accurately elucidate the general functions of given lncRNA sequences, predict tissue- or cell-type-specific functions from bulk and single-cell RNA-seq data, and establish connections between tumor-associated lncRNAs and genomic markers. Overall, LncADeep 2.0 stands out as an efficient and reliable tool for lncRNA identification and functional annotation across a wide spectrum of biological processes. AVAILABILITY AND IMPLEMENTATION: LncADeep 2.0 is available for use at https://github.com/Jefferson-Chou/LncADeep2 and https://doi.org/10.5281/zenodo.17164767.

RNA, Long Noncoding↗

PubMed2025

LncCE: Landscape of Cellularly-elevated lncRNAs in Single Cells Across Normal and Cancer Tissues.

Long non-coding RNAs (lncRNAs) have emerged as significant players in maintaining the morphology and function of tissues and cells. The precise regulatory effectiveness of lncRNAs is closely associated with their spatial expression patterns across tissues and cells. Here, we propose the Cellularly-Elevated LncRNA (LncCE) resource to systematically explore cellularly-elevated (CE) lncRNAs across normal and cancer tissues at single-cell resolution. LncCE encompasses 87,946 entries of CE lncRNAs of 149 cell types by analyzing 181 single-cell RNA sequencing datasets, involving 20 fetal normal tissues, 59 adult normal tissues, 32 adult cancer types, and 5 pediatric cancer types. Two main search options are provided via a given lncRNA name or cell type. The results emphasize both qualitative and quantitative expression features of lncRNAs across different cell types, their co-expression with protein-coding genes, and their involvement in biological functions. In particular, LncCE provides quantitative visualizations of lncRNA expression changes in cancers compared to control samples, as well as clinical associations with patients' overall survival. Together, LncCE offers an extensive, quantitative, and user-friendly interface to create a CE expression atlas for lncRNAs across normal and cancer tissues at the single-cell level. The LncCE database is available at http://bio-bigdata.hrbmu.edu.cn/LncCE.

RNA, Long Noncoding↗