LINC02086 inhibits ferroptosis and promotes malignant phenotypes of pancreatic cancer via miR-342-3p/CA9 axis.

Long noncoding RNAs (lncRNAs) play important roles in modulating the tumorigenesis and progression of malignant tumors. LINC02086 is a newly identified oncogene associated with tumorigenesis, but its role in pancreatic cancer (PC) has not been fully elucidated. In this study we examined the expression levels of LINC02086, miR-342-3p, and CA9 in PC. The relationship of ferroptosis with these factors was analyzed by detecting the expression levels of Fe2+, reactive oxygen species (ROS), and ferroptosis marker proteins. The expression of these genes was altered to observe their effects on cell proliferation, migration, and invasion ability. Bioinformatics was used to predict target genes, and the binding relationship was verified luciferase reporter assay. Finally, the function of LINC02086 was evaluated in vivo. The findings suggest that LINC02086 is highly expressed in PC tissues and cell lines and is correlated with a poor prognosis. In vitro experiments demonstrated that LINC02086 knockdown promoted ferroptosis in PC cells to suppress their malignant phenotype. LINC02086 acts as a competitive endogenous RNA that adsorbed miR-342-3p. miR-342-3p hinders the malignant progression of PC by promoting ferroptosis. In addition, miR-342-3p targets CA9 and affects its function. Further mechanistic studies revealed that LINC02086 inhibits ferroptosis and promotes PC progression by acting as a sponge for miR-342-3p to upregulate CA9 expression. In vivo experiments further confirmed this mechanism. Taken together, LINC02086 upregulates CA9 expression by competitively binding with miR-342-3p, thereby inhibiting ferroptosis in PC cells and promoting their malignant phenotype. The results of our study provide new insights into how LINC02086 contributes to the progression of PC.

Establishment of a novel signature to predict prognosis and immune characteristics of pancreatic cancer based on necroptosis-related long non-coding RNA.

BACKGROUND: Necroptosis plays an important role in tumorigenesis and tumour progression. Long noncoding RNAs (lncRNAs) have been proven to be regulatory factors of necroptosis in various tumours. However, the real role of necroptosis-related lncRNAs (NRLs) and their potential to predict the prognosis of pancreatic cancer (PC) remain largely unclear. The goal of this study was to identify NRLs and create a predictive risk signature in PC, explore its prognostic predictive performance, and further assess immunotherapy and chemotherapy responses. METHODS: RNA sequencing data, tumour mutation burden (TMB) data, and clinical profiles of 178 PC patients were downloaded from The Cancer Genome Atlas (TCGA) database. NRLs were identified using Pearson correlation analysis. Then, patients were divided into the training set and the validation set at a 1:1 ratio. Subsequently, Cox and LASSO regression analyses were conducted to establish a prognostic NRL signature in the training set and validation set. The predictive efficacy of the 5-NRL signature was assessed by survival analysis, nomogram, Cox regression, clinicopathological feature correlation analysis, and receiver operating characteristic (ROC) curve analysis. Furthermore, correlations between the risk score (RS) and immune cell infiltration, immune checkpoint molecules, somatic gene mutations, and anticancer drug sensitivity were analysed. Finally, we used quantitative reverse transcription polymerase chain reaction (qRT-PCR) to validate the 5-NRLs. RESULTS: A 5-NRL signature was established to predict the prognosis of PC, including LINC00857, AL672291.1, PTPRN2-AS1, AC141930.2, and MEG9. The 5-NRL signature demonstrated a high degree of predictive power according to ROC and Kaplan‒Meier curves and was revealed to be an independent prognostic risk factor via stratified survival analysis. Nomogram and calibration curves indicated the clinical adaptability of the signature. Immune-related pathways were linked to the 5-NRL signature according to enrichment analysis. Additionally, immune cell infiltration, immune checkpoint molecules, somatic gene mutations and the half-maximal inhibitory concentration (IC50) of chemotherapeutic agents were significantly different between the two risk subgroups. These results suggested that our model can be used to evaluate the effectiveness of immunotherapy and chemotherapy, providing a potential new strategy for treating PC. CONCLUSIONS: The novel 5-NRL signature is helpful for assessing the prognosis of PC patients and improving therapy options, so it can be further applied clinically.

The histone deacetylase HDA703 interacts with OsBZR1 to regulate rice brassinosteroid signaling, growth and heading date through repression of Ghd7 expression.

The plant steroid hormones brassinosteroids (BRs) play crucial roles in plant growth and development. The BR signal transduction pathway from perception to the key transcription factors has been well understood in Arabidopsis thaliana and in rice (Oryza sativa); however, the mechanisms conferring BR-mediated growth and flowering remain largely unknown, especially in rice. In this study, we show that HDA703 is a histone H4K8 and H4K12 deacetylase in rice. Hda703 mutants display a typical BR loss-of-function phenotype and reduced sensitivity to brassinolide, the most active BR. Rice plants overexpressing HDA703 exhibit some BR gain-of-function phenotypes dependent on BR biosynthesis and signaling. We also show that HDA703 is a direct target of BRASSINAZOLE-RESISTANT1 (OsBZR1), a primary regulator of rice BR signaling, and HDA703 interacts with OsBZR1 in rice. We further show that GRAIN NUMBER, PLANT HEIGHT, and HEADING DATE 7 (Ghd7), a central regulator of growth, development, and the stress response, is a direct target of OsBZR1. HDA703 directly targets Ghd7 and represses its expression through histone H4 deacetylation. HDA703-overexpressing rice plants phenocopy Ghd7-silencing rice plants in both growth and heading date. Together, our study suggests that HDA703, a histone H4 deacetylase, interacts with OsBZR1 to regulate rice BR signaling, growth, and heading date through epigenetic regulation of Ghd7.

Promotion of BR Biosynthesis by miR444 Is Required for Ammonium-Triggered Inhibition of Root Growth.

Rice (Oryza sativa), the staple food for almost half of the world's population, prefers ammonium (NH4 +) as the major nitrogen resource, and while NH4 + has profound effects on rice growth and yields, the underlying regulatory mechanisms remain largely unknown. Brassinosteroids (BRs) are a class of steroidal hormones playing key roles in plant growth and development. In this study, we show that NH4 + promotes BR biosynthesis through miR444 to regulate rice root growth. miR444 targeted five homologous MADS-box transcription repressors potentially forming homologous or heterogeneous complexes in rice. miR444 positively regulated BR biosynthesis through its MADS-box targets, which directly repress the transcription of BR-deficient dwarf 1 (OsBRD1), a key BR biosynthetic gene. NH4 + induced the miR444-OsBRD1 signaling cascade in roots, thereby increasing the amount of BRs, whose biosynthesis and signaling were required for NH4 + -dependent root elongation inhibition. Consistently, miR444-overexpressing rice roots were hypersensitive to NH4 + depending on BR biosynthesis, and overexpression of miR444's target, OsMADS57, resulted in rice hyposensitivity to NH4 + in root elongation, which was associated with a reduction of BR content. In summary, our findings reveal a cross talk mechanism between NH4 + and BR in which NH4 + activates miR444-OsBRD1, an undescribed BR biosynthesis-promoting signaling cascade, to increase BR content, inhibiting root elongation in rice.

Mechanisms of gene rearrangement in 13 bothids based on comparison with a newly completed mitogenome of the threespot flounder, Grammatobothus polyophthalmus (Pleuronectiformes: Bothidae).

BACKGROUND: The mitogenomes of 12 teleost fish of the bothid family (order Pleuronectiformes) indicated that the genomic-scale rearrangements characterized in previous work. A novel mechanism of genomic rearrangement called the Dimer-Mitogenome and Non-Random Loss (DMNL) model was used to account for the rearrangement found in one of these bothids, Crossorhombus azureus. RESULTS: The 18,170 bp mitogenome of G. polyophthalmus contains 37 genes, two control regions (CRs), and the origin of replication of the L-strand (OL). This mitogenome is characterized by genomic-scale rearrangements: genes located on the L-strand are grouped in an 8-gene cluster (Q-A-C-Y-S1-ND6-E-P) that does not include tRNA-N; genes found on the H-strand are grouped together (F-12S … CytB-T) except for tRNA-D that was translocated inside the 8-gene L-strand cluster. Compared to non-rearranged mitogenomes of teleost fishes, gene organization in the mitogenome of G. polyophthalmus and in that of the other 12 bothids characterized thus far is very similar. These rearrangements could be sorted into four types (Type I, II, III and IV), differing in the particular combination of the CR, tRNA-D gene and 8-gene cluster and the shuffling of tRNA-V. The DMNL model was used to account for all but one gene rearrangement found in all 13 bothid mitogenomes. Translocation of tRNA-D most likely occurred after the DMNL process in 10 bothid mitogenomes and could have occurred either before or after DMNL in the three other species. During the DMNL process, the tRNA-N gene was retained rather than the expected tRNA-N' gene. tRNA-N appears to assist in or act as OL function when the OL secondary structure could not be formed from intergenic sequences. A striking finding was that each of the non-transcribed genes has degenerated to a shorter intergenic spacer during the DMNL process. These findings highlight a rare phenomenon in teleost fish. CONCLUSIONS: This result provides significant evidence to support the existence of dynamic dimeric mitogenomes and the DMNL model as the mechanism of gene rearrangement in bothid mitogenomes, which not only promotes the understanding of mitogenome structural diversity, but also sheds light on mechanisms of mitochondrial genome rearrangement and replication.

Flatfish monophyly refereed by the relationship of Psettodes in Carangimorphariae.

BACKGROUND: The monophyly of flatfishes has not been supported in many molecular phylogenetic studies. The monophyly of Pleuronectoidei, which comprises all but one family of flatfishes, is broadly supported. However, the Psettodoidei, comprising the single family Psettodidae, is often found to be most closely related to other carangimorphs based on substantial sequencing efforts and diversely analytical methods. In this study, we examined why this particular result is often obtained. RESULTS: The mitogenomes of five flatfishes were determined. Select mitogenomes of representative carangimorph species were further employed for phylogenetic and molecular clock analyses. Our phylogenetic results do not fully support Psettodes as a sister group to pleuronectoids or other carangimorphs. And results also supported the evidence of long-branch attraction between Psettodes and the adjacent clades. Two chronograms, derived from Bayesian relaxed-clock methods, suggest that over a short period in the early Paleocene, a series of important evolutionary events occurred in carangimorphs. CONCLUSION: Based on insights provided by the molecular clock, we propose the following evolutionary explanation for the difficulty in determining the phylogenetic position of Psettodes: The initial diversification of Psettodes was very close in time to the initial diversification of carangimorphs, and the primary diversification time of pleuronectoids, the other suborder of flatfishes, occurred later than that of some percomorph taxa. Additionally, the clade of Psettodes is long and naked branch, which supports the uncertainty of its phylogenetic placement. Finally, we confirmed the monophyly of flatfishes, which was accepted by most ichthyologists.

A Signaling Cascade from miR444 to RDR1 in Rice Antiviral RNA Silencing Pathway.

Plant RNA-DEPENDENT RNA POLYMERASE1 (RDR1) is a key component of the antiviral RNA-silencing pathway, contributing to the biogenesis of virus-derived small interfering RNAs. This enzyme also is responsible for producing virus-activated endogenous small interfering RNAs to stimulate the broad-spectrum antiviral activity through silencing host genes. The expression of RDR1 orthologs in various plants is usually induced by virus infection. However, the molecular mechanisms of activation of RDR1 expression in response to virus infection remain unknown. Here, we show that a monocot-specific microRNA, miR444, is a key factor in relaying the antiviral signaling from virus infection to OsRDR1 expression. The expression of miR444 is enhanced by infection with Rice stripe virus (RSV), and overexpression of miR444 improves rice (Oryza sativa) resistance against RSV infection accompanied by the up-regulation of OsRDR1 expression. We further show that three miR444 targets, the MIKC(C)-type MADS box proteins OsMADS23, OsMADS27a, and OsMADS57, form homodimers and heterodimers between them to repress the expression of OsRDR1 by directly binding to the CArG motifs of its promoter. Consequently, an increased level of miR444 diminishes the repressive roles of OsMADS23, OsMADS27a, and OsMADS57 on OsRDR1 transcription, thus activating the OsRDR1-dependent antiviral RNA-silencing pathway. We also show that overexpression of miR444-resistant OsMADS57 reduced OsRDR1 expression and rice resistance against RSV infection, and knockout of OsRDR1 reduced rice resistance against RSV infection. In conclusion, our results reveal a molecular cascade in the rice antiviral pathway in which miR444 and its MADS box targets directly control OsRDR1 transcription.

Tandem Duplication and Random Loss for mitogenome rearrangement in Symphurus (Teleost: Pleuronectiformes).

BACKGROUND: The mitochondrial genomes (mitogenomes) of flatfishes (Pleuronectiformes) exhibit highly diversified types of large-scale gene rearrangements. We have reported that the mitogenomes of Crossorhombus azureus (Bothidae), Samariscus latus (Samaridae) and Cynoglossus fishes (Cynoglossidae) show different types of gene rearrangements. RESULTS: In the present study, the complete mitogenomes of two Symphurus species (Cynoglossidae), Symphurus plagiusa and Symphurus orientalis, were determined. The gene order in the S. plagiusa mitogenome is the same as that of a typical vertebrate (without any gene rearrangements). Surprisingly, large-scale gene rearrangements have occurred in S. orientalis. In the rearranged fragment from the control region (CR) to the WANCY tRNA cluster (tRNA cluster of tRNA-W, tRNA-A, tRNA-N, tRNA-C and tRNA-Y) in the S. orientalis mitogenome, tRNA-V and tRNA-M have been translocated to the 3' end of the 16S rRNA gene, with six large intergenic spacers over 20 bp in length. In addition, an origin for light-strand replication (OL) structure that is typically located in the WANCY region was absent in both the S. plagiusa and S. orientalis mitogenomes. It is generally recognized that a sequence in the WANCY region that encodes tRNAs forms a hairpin structure (OL-like structure) and can act as the OL when the typical locus is lost. Moreover, an additional OL-like structure was identified near the control region in the S. plagiusa mitogenome. CONCLUSIONS: The positions of the intergenic spacers and the rearranged genes of the S. orientalis mitogenome strongly indicate that the mechanism underlying the rearrangement of this mitogenome was Tandem Duplication and Random Loss. Additionally, two OL-like regions substituting for the typical locus were found in the S. plagiusa mitogenome. We speculate that the ancestral mitogenomes of S. plagiusa and S. orientalis also had this characteristic, such that if both OL-like structures functioned during mitochondrial replication, they could initiate duplicate replications of the light strand (L-strand), leading to duplication of the region between the two structures. We consider that this mechanism may account for the gene duplication that occurred during the gene rearrangement process in the evolution of the ancestral mitogenome to the S. orientalis mitogenome.

A novel model of double replications and random loss accounts for rearrangements in the Mitogenome of Samariscus latus (Teleostei: Pleuronectiformes).

BACKGROUND: Although more than one thousand complete mitochondrial DNA (mtDNA) sequences have been determined in teleostean fishes, only a few gene rearrangements have been observed, and genome-scale rearrangements are even rarer. However, flatfishes (Pleuronectiformes) have been identified as having diverse types of mitochondrial gene rearrangements. It has been reported that tongue soles and the blue flounder mitogenomes exhibit different types of large-scale gene rearrangements. RESULTS: In the present study, the complete mitochondrial genome of another flatfish, Samariscus latus, was sequenced, and genome-scale rearrangements were observed. The genomic features of this flounder are different from those of any other studied vertebrates, including flatfish species too. The mitogenome of S. latus is characterized by the duplication and translocation of the control region (CR). The genes located between the two CRs are divided into two clusters in which their relative orders are maintained. CONCLUSIONS: We propose a "Double Replications and Random Loss" model to explain the rearrangement events in S. latus mitogenome. This model consists of the following steps. First, the CR was duplicated and translocated. Subsequently, double replications of the mitogenome were successively initiated from the two CRs, leading to the duplication of the genes between the two CRs. Finally, one of each pair of duplicated genes was lost in a random event.

Activator protein-1 (AP-1) and response to pathogen infection in the Hong Kong oyster (Crassostrea hongkongensis).

Growing evidence suggests that the transcription factor activator protein-1 (AP-1), a downstream target of mitogen-activated protein kinase (MAPK) signaling, plays a major role in stimulating the synthesis of immune effector molecules during innate immune responses. We have characterized ChAP-1, an AP-1-like protein in Crassostrea hongkongensis that is a member of the AP-1 family of proteins. ChAP-1 is composed of 290 amino acid residues with a Jun and bZIP domain at the N- and C-termini, respectively, a structure similar to that of known Ap-1 proteins. ChAP-1 mRNA is expressed in several tissues analyzed, with highest expression in the mantle. Expression of ChAP-1 increases in response to Vibrio alginolyticus, Salmo haemolyticus or Salmo cerevisiae infection and, despite the location of GFP-tagged full-length ChAP-1 protein in the cytoplasm, ChAP-1 activates the transcription of an L8G5-luc reporter gene, and its over-expression can also activate the AP-1-Luc reporter gene in HEK293T cells.

LINC01605 promotes malignant phenotypes of cervical cancer via miR-149-3p/WNT7B axis.

BACKGROUND: Long non-coding RNAs (LncRNA) play a pivotal role in the progression of various malignancies. Despite recent identification as an oncogene associated with tumorigenesis. The precise role of LINC01605 in cervical cancer (CC) remains unclear. Therefore, the objective of this study was to investigate the influence of LINC01605 on proliferation and invasion of CC cells, while also exploring its potential underlying mechanisms. METHODS: The expression of LINC01605 in CC cell lines was analyzed using the TCGA database and qRT-PCR. Various assays, including CCK-8 and transwell analysis, were conducted on CC cells to assess the influence of LINC01605 on their proliferation, migration, and invasion capabilities. Bioinformatics and dual luciferase reporter gene assays were employed to analyze the target genes of LINC01605 and miR-149-3p. To further investigate the mechanism of action, transfection and investigation were performed using specific siRNA, miRNA mimics, or inhibitors. RESULTS: The expression of LINC01605 exhibited a significant increase in CC cell lines, and this upregulation was associated with an unfavorable prognosis. Modulating the expression of LINC01605, either by down-regulating or up-regulating it, exerted suppressive or stimulatory effects on the growth and invasion of HeLa and Siha cells. LINC01605 functioned as a competitive endogenous RNA (ceRNA) for miR-149-3p, with WNT7B being identified as a target gene of miR-149-3p. The involvement of LINC01605 in CC development is facilitated by its ability to regulate the expression of WNT7B through sequestering miR-149-3p. CONCLUSION: Our study demonstrates that LINC01605 acts as a competitive endogenous RNA in modulating the effects of WNT7B on the proliferation and invasion of CC cells by sequestering miR-149-3p. This research provides novel insights into the involvement of LINC01605 in the advancement of CC.

Complete mitogenome sequences of four flatfishes (Pleuronectiformes) reveal a novel gene arrangement of L-strand coding genes.

BACKGROUND: Few mitochondrial gene rearrangements are found in vertebrates and large-scale changes in these genomes occur even less frequently. It is difficult, therefore, to propose a mechanism to account for observed changes in mitogenome structure. Mitochondrial gene rearrangements are usually explained by the recombination model or tandem duplication and random loss model. RESULTS: In this study, the complete mitochondrial genomes of four flatfishes, Crossorhombus azureus (blue flounder), Grammatobothus krempfi, Pleuronichthys cornutus, and Platichthys stellatus were determined. A striking finding is that eight genes in the C. azureus mitogenome are located in a novel position, differing from that of available vertebrate mitogenomes. Specifically, the ND6 and seven tRNA genes (the Q, A, C, Y, S1, E, P genes) encoded by the L-strand have been translocated to a position between tRNA-T and tRNA-F though the original order of the genes is maintained. CONCLUSIONS: These special features are used to suggest a mechanism for C. azureus mitogenome rearrangement. First, a dimeric molecule was formed by two monomers linked head-to-tail, then one of the two sets of promoters lost function and the genes controlled by the disabled promoters became pseudogenes, non-coding sequences, and even were lost from the genome. This study provides a new gene-rearrangement model that accounts for the events of gene-rearrangement in a vertebrate mitogenome.

Pause-melting misalignment: a novel model for the birth and motif indel of tandem repeats in the mitochondrial genome.

BACKGROUND: Tandem repeats (TRs) in the mitochondrial (mt) genome control region have been documented in a wide variety of vertebrate species. The mechanism by which repeated tracts originate and undergo duplication and deletion, however, remains unclear. RESULTS: We analyzed DNA sequences of mt genome TRs (mtTRs) in the ridged-eye flounder (Pleuronichthys cornutus), and characterized DNA sequences of mtTRs from other vertebrates using the data available in GenBank. Tandem repeats are concentrated in the control regions; however, we found approximately 16.6% of the TRs elsewhere in the mt genome. The flounder mtTRs possess three motif types with hypervariable characteristics at the 3' end of the control region (CR). CONCLUSION: Based on our analysis of this larger dataset of mtTR sequences, we propose a novel model of Pause Melting Misalignment (PMM) to describe the birth and motif indel of tandem repeats. PMM is activated during a pause event in mitochondrial replication in which a dynamic competition between the nascent (N) heavy strand and the displaced (D) heavy strand may lead to the melting of the N-strand from the template (T) light strand. When mispairing occurs during rebinding of the N-strand, one or several motifs can be inserted or deleted in both strands during the next round of mt-replication or repair. This model can explain the characteristics of TRs in available vertebrate mt genomes.

A novel necroptosis-related long non-coding RNA signature predicts prognosis and immune response in cervical cancer patients.

BACKGROUND: Necroptosis has been linked to the development of tumors. Long non-coding RNAs (IncRNAs) have been identified as having a major role in numerous biological and pathological procedures. Despite this, the precise role that necroptosis-related lncRNAs (NRLs) have in cervical cancer (CC) and their potential for predicting its prognosis is still to a large extent unclear. METHODS: Gene expression RNA-sequencing data, mutational data, and clinical profiles for 309 CC patients were obtained from the Cancer Genome Atlas (TCGA) database. The NRLs were then identified with Pearson correlation analysis followed by splitting of the patients into training and validation sets in a 3:2 ratio. Cox and LASSO regression models were performed to construct a cervical cancer prognostic signature based on NRLs. This 5-NRLs signature was then verified by Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curve, and nomogram for prognostic prediction. Further, a correlation study between the risk score (RS) and immune cell infiltration, immune checkpoint molecules, tumor mutation burden (TMB), and the sensitivity of chemotherapy drug was conducted. To validate the 5-NRLs, a quantitative reverse transcription polymerase chain reaction (qRT-PCR) was finally performed. RESULTS: The 5-NRLs signature was designed to accurately predict the prognosis of CC. It consists of AC092153.1, AC007686.3, LINC01281, AC009097.2, and RUSC1-AS1 and was found to be highly predictive using ROC and Kaplan-Meier curves. Furthermore, when analyzed through stratified survival analysis, it was confirmed to be an independent risk factor for prognosis. The nomogram and calibration curves further validated its clinical utility. Moreover, distinct differences between two risk groups were observed when examining immune cell infiltration, immune checkpoint molecules, somatic gene alterations and half-inhibitory concentration of anticancer drug. CONCLUSIONS: The 5-NRLs signature is a novel and valuable tool for evaluating the prognosis of CC patients, providing clinicians with an informed decision-making framework to formulate tailored treatment plans for their patients.

A novel text sentiment analysis system using improved depthwise separable convolution neural networks.

Human behavior is greatly affected by emotions. Human behavior can be predicted by classifying emotions. Therefore, mining people's emotional tendencies from text is of great significance for predicting the behavior of target groups and making decisions. The good use of emotion classification technology can produce huge social and economic benefits. However, due to the rapid development of the Internet, the text information generated on the Internet increases rapidly at an unimaginable speed, which makes the previous method of manually classifying texts one-by-one more and more unable to meet the actual needs. In the subject of sentiment analysis, one of the most pressing problems is how to make better use of computer technology to extract emotional tendencies from text data in a way that is both more efficient and accurate. In the realm of text-based sentiment analysis, the currently available deep learning algorithms have two primary issues to contend with. The first is the high level of complexity involved in training the model, and the second is that the model does not take into account all of the aspects of language and does not make use of word vector information. This research employs an upgraded convolutional neural network (CNN) model as a response to these challenges. The goal of this model is to improve the downsides caused by the problems described above. First, the text separable convolution algorithm is used to perform hierarchical convolution on text features to achieve the refined extraction of word vector information and context information. Doing so avoids semantic confusion and reduces the complexity of convolutional networks. Secondly, the text separable convolution algorithm is applied to text sentiment analysis, and an improved CNN is further proposed. Compared with other models, the proposed model shows better performance in text-based sentiment analysis tasks. This study provides great value for text-based sentiment analysis tasks.

Re-evaluation of the taxonomic status of four nominal, western Pacific species of tongue soles (Pleuronectoidei: Cynoglossidae: Cynoglossus), with redescription of C. joyneri Gnther, 1878.

Striking similarities in morphological characters and significant overlap in meristic features have resulted in different hypotheses regarding the taxonomic status of several nominal species of northwestern Pacific tongue soles of the genus Cynoglossus, including C. joyneri Gnther, 1878, C. lighti Norman, 1925, C. tenuis (Oshima, 1927), and C. tshusanensis Chabanaud, 1951. Previous hypotheses have proposed that each taxon is a valid species; or that C. lighti and C. tshusanensis are junior subjective synonyms of C. joyneri; or that C. tenuis is a junior subjective synonym of either C. joyneri or C. lighti. Although several previous investigations concluded that C. lighti is a synonym of C. joyneri, names of both nominal species still appear in contemporary literature indicating that taxonomic status of these nominal species remains unresolved. To clarify the taxonomic status of these four nominal species, detailed study of morphological characters of 138 specimens collected from 22 localities in Japan and China, and re-examination of type specimens of three of these nominal species was conducted. The molecular barcodes of mitochondrial DNA from six representative specimens featuring morphological variation purportedly useful for distinguishing C. lighti from C. joyneri were also analyzed and then compared with sequences reported for C. joyneri in the literature. Lectotypes of C. joyneri and C. lighti differed in only two morphological characters (body depth and position of posterior tip of rostral hook relative to anterior margin of lower eye). However, when these two characters were examined in 138 recently collected non-type specimens, no differences were found among these nominal species. Our results do not support recognizing these as separate species. Results from genetic analyses also support recognizing only a single species among the material examined. Furthermore, overall similarities in morphological features between the holotype of C. tshusanensis and specimens of C. joyneri support recognizing C. tshusanensis as a junior subjective synonym of C. joyneri. Likewise, values for morphological features of C. joyneri examined in the present study also encompass the range of values reported in the original description of C. tenuis. This finding supports conclusions of previous studies that this nominal species is also a junior synonym of C. joyneri. Based on morphological and genetic evidence, we conclude that only a single species, C. joyneri, should be recognized among the four nominal species included in this study. Cynoglossus joyneri is re-described based on data from 492 specimens collected throughout nearly the entire range of the species.

Bioinformatics-based analysis of the relationship between disulfidptosis and prognosis and treatment response in pancreatic cancer.

Tumor formation is closely associated with disulfidptosis, a new form of cell death induced by disulfide stress-induced. The exact mechanism of action of disulfidptosis in pancreatic cancer (PCa) is not clear. This study analyzed the impact of disulfidptosis-related genes (DRGs) on the prognosis of PCa and identified clusters of DRGs, and based on this, a risk score (RS) signature was developed to assess the impact of RS on the prognosis, immune and chemotherapeutic response of PCa patients. Based on transcriptomic data and clinical information from PCa tissue and normal pancreatic tissue samples obtained from the TCGA and GTEx databases, differentially expressed and differentially surviving DRGs in PCa were identified from among 15 DRGs. Two DRGs clusters were identified by consensus clustering by merging the PCa samples in the GSE183795 dataset. Analysis of DRGs clusters about the PCa tumor microenvironment and differential analysis to obtain differential genes between the two DRG clusters. Patients were then randomized into the training and testing sets, and a prognostic prediction signature associated with disulfidptosis was constructed in the training set. Then all samples were divided into high-disulfidptosis-risk (HDR) and low-disulfidptosis-risk (LDR) subgroups based on the RS calculated from the signature. The predictive efficacy of the signature was assessed by survival analysis, nomograms, correlation analysis of clinicopathological characteristics, and the receiver operating characteristic (ROC) curves. To assess differences between different risk subgroups in immune cell infiltration, expression of immune checkpoint molecules, somatic gene mutations, and effectiveness of immunotherapy and chemotherapy. The GSE57495 dataset was used as external validation, reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression levels of DRGs. A total of 12 DRGs with differential expression and prognosis in PCa were identified, based on which a risk-prognosis signature containing five differentially expressed genes (DEGs) was developed. The signature was a good predictor and an independent risk factor. The nomogram and calibration curve shows the signature's excellent clinical applicability. Functional enrichment analysis showed that RS was associated with tumor and immune-related pathways. RS was strongly associated with the tumor microenvironment, and analysis of response to immunotherapy and chemotherapy suggests that the signature can be used to assess the sensitivity of treatments. External validation further demonstrated the model's efficacy in predicting the prognosis of PCa patients, with RT-qPCR and immunohistochemical maps visualizing the expression of each gene in PCa cell lines and the tissue. Our study is the first to apply the subtyping model of disulfidptosis to PCa and construct a signature based on the disulfidptosis subtype, which can provide an accurate assessment of prognosis, immunotherapy, and chemotherapy response in PCa patients, providing new targets and directions for the prognosis and treatment of PCa.

Identification of cuproptosis-related lncRNA for predicting prognosis and immunotherapeutic response in cervical cancer.

Patients diagnosed with advanced cervical cancer (CC) have poor prognosis after primary treatment, and there is a lack of biomarkers for predicting patients with an increased risk of recurrence of CC. Cuproptosis is reported to play a role in tumorigenesis and progression. However, the clinical impacts of cuproptosis-related lncRNAs (CRLs) in CC remain largely unclear. Our study attempted to identify new potential biomarkers to predict prognosis and response to immunotherapy with the aim of improving this situation. The transcriptome data, MAF files, and clinical information for CC cases were obtained from the cancer genome atlas, and Pearson correlation analysis was utilized to identify CRLs. In total, 304 eligible patients with CC were randomly assigned to training and test groups. LASSO regression and multivariate Cox regression were performed to construct a cervical cancer prognostic signature based on cuproptosis-related lncRNAs. Afterwards, we generated Kaplan-Meier curves, receiver operating characteristic curves and nomograms to verify the ability to predict prognosis of patients with CC. Genes for assessing differential expression among risk subgroups were also evaluated by functional enrichment analysis. Immune cell infiltration and the tumour mutation burden were analysed to explore the underlying mechanisms of the signature. Furthermore, the potential value of the prognostic signature to predict response to immunotherapy and sensitivity to chemotherapy drugs was examined. In our study, a risk signature containing eight cuproptosis-related lncRNAs (AL441992.1, SOX21-AS1, AC011468.3, AC012306.2, FZD4-DT, AP001922.5, RUSC1-AS1, AP001453.2) to predict the survival outcome of CC patients was developed, and the reliability of the risk signature was appraised. Cox regression analyses indicated that the comprehensive risk score is an independent prognostic factor. Moreover, significant differences were found in progression-free survival, immune cell infiltration, therapeutic response to immune checkpoint inhibitors, and IC50 for chemotherapeutic agents between risk subgroups, suggesting that our model can be well employed to assess the clinical efficacy of immunotherapy and chemotherapy. Based on our 8-CRLs risk signature, we were able to independently assess the outcome and response to immunotherapy of CC patients, and this signature might benefit clinical decision-making for individualized treatment.

Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective.

Arbitrary image stylization by neural networks has become a popular topic, and video stylization is attracting more attention as an extension of image stylization. However, when image stylization methods are applied to videos, unsatisfactory results that suffer from severe flickering effects appear. In this article, we conducted a detailed and comprehensive analysis of the cause of such flickering effects. Systematic comparisons among typical neural style transfer approaches show that the feature migration modules for state-of-the-art (SOTA) learning systems are ill-conditioned and could lead to a channelwise misalignment between the input content representations and the generated frames. Unlike traditional methods that relieve the misalignment via additional optical flow constraints or regularization modules, we focus on keeping the temporal consistency by aligning each output frame with the input frame. To this end, we propose a simple yet efficient multichannel correlation network (MCCNet), to ensure that output frames are directly aligned with inputs in the hidden feature space while maintaining the desired style patterns. An inner channel similarity loss is adopted to eliminate side effects caused by the absence of nonlinear operations such as softmax for strict alignment. Furthermore, to improve the performance of MCCNet under complex light conditions, we introduce an illumination loss during training. Qualitative and quantitative evaluations demonstrate that MCCNet performs well in arbitrary video and image style transfer tasks. Code is available at https://github.com/kongxiuxiu/MCCNetV2.

A SA-regulated lincRNA promotes Arabidopsis disease resistance by modulating pre-rRNA processing.

Regulation of gene expression at translational level has been shown critical for plant defense against pathogen infection. Pre-rRNA processing is essential for ribosome biosynthesis and thus affects protein translation. It remains unknown if plants modulate pre-rRNA processing as a translation regulatory mechanism for disease resistance. In this study, we show a 5' snoRNA capped and 3' polyadenylated (SPA) lincRNA named SUNA1 promotes disease resistance involved in modulating pre-rRNA processing in Arabidopsis. SUNA1 expression is highly induced by Pst DC3000 infection, which is impaired in SA biosynthesis-defective mutant sid2 and signaling mutant npr1. Consistently, SA triggers SUNA1 expression dependent on NPR1. Functional analysis indicates that SUNA1 plays a positive role in Arabidopsis defense against Pst DC3000 relying on its snoRNA signature motifs. Potential mechanism study suggests that the nucleus-localized SUNA1 interacts with the nucleolar methyltransferase fibrillarin to modulate SA-controlled pre-rRNA processing, then enhancing the translational efficiency (TE) of some defense genes in Arabidopsis response to Pst DC3000 infection. NPR1 appears to have similar effects as SUNA1 on pre-rRNA processing and TE of defense genes. Together, these studies reveal one kind of undescribed antibacterial translation regulatory mechanism, in which SA-NPR1-SUNA1 signaling cascade controls pre-rRNA processing and TE of certain defense genes in Arabidopsis.