1.Clinical feature difference between juvenile amyotrophic lateral sclerosis with SPTLC1 and FUS mutations.
Peishan WANG ; Qiao WEI ; Hongfu LI ; Zhi-Ying WU
Chinese Medical Journal 2023;136(2):176-183
BACKGROUND:
Juvenile amyotrophic lateral sclerosis (JALS) is an uncommon form of amyotrophic lateral sclerosis whose age at onset (AAO) is defined as prior to 25 years. FUS mutations are the most common cause of JALS. SPTLC1 was recently identified as a disease-causative gene for JALS, which has rarely been reported in Asian populations. Little is known regarding the difference in clinical features between JALS patients carrying FUS and SPTLC1 mutations. This study aimed to screen mutations in JALS patients and to compare the clinical features between JALS patients with FUS and SPTLC1 mutations.
METHODS:
Sixteen JALS patients were enrolled, including three newly recruited patients between July 2015 and August 2018 from the Second Affiliated Hospital, Zhejiang University School of Medicine. Mutations were screened by whole-exome sequencing. In addition, clinical features such as AAO, onset site and disease duration were extracted and compared between JALS patients carrying FUS and SPTLC1 mutations through a literature review.
RESULTS:
A novel and de novo SPTLC1 mutation (c.58G>A, p.A20T) was identified in a sporadic patient. Among 16 JALS patients, 7/16 carried FUS mutations and 5/16 carried respective SPTLC1 , SETX , NEFH , DCTN1 , and TARDBP mutations. Compared with FUS mutation patients, those with SPTLC1 mutations had an earlier AAO (7.9 ± 4.6 years vs. 18.1 ± 3.9 years, P < 0.01), much longer disease duration (512.0 [416.7-607.3] months vs. 33.4 [21.6-45.1] months, P < 0.01), and no onset of bulbar.
CONCLUSION
Our findings expand the genetic and phenotypic spectrum of JALS and help to better understand the genotype-phenotype correlation of JALS.
Humans
;
Amyotrophic Lateral Sclerosis/genetics*
;
DNA Helicases/genetics*
;
Genetic Association Studies
;
Multifunctional Enzymes/genetics*
;
Mutation/genetics*
;
RNA Helicases/genetics*
;
RNA-Binding Protein FUS/genetics*
;
Serine C-Palmitoyltransferase/genetics*
;
Child, Preschool
;
Child
;
Adolescent
;
Young Adult
4.Investigation of androgen receptor-dependent alternative splicing has identified a unique subtype of lethal prostate cancer.
Sean SELTZER ; Paresa N GIANNOPOULOS ; Tarek A BISMAR ; Mark TRIFIRO ; Miltiadis PALIOURAS
Asian Journal of Andrology 2023;25(3):296-308
A complete proteomics study characterizing active androgen receptor (AR) complexes in prostate cancer (PCa) cells identified a diversity of protein interactors with tumorigenic annotations, including known RNA splicing factors. Thus, we chose to further investigate the functional role of AR-mediated alternative RNA splicing in PCa disease progression. We selected two AR-interacting RNA splicing factors, Src associated in mitosis of 68 kDa (SAM68) and DEAD (Asp-Glu-Ala-Asp) box helicase 5 (DDX5) to examine their associative roles in AR-dependent alternative RNA splicing. To assess the true physiological role of AR in alternative RNA splicing, we assessed splicing profiles of LNCaP PCa cells using exon microarrays and correlated the results to PCa clinical datasets. As a result, we were able to highlight alternative splicing events of clinical significance. Initial use of exon-mini gene cassettes illustrated hormone-dependent AR-mediated exon-inclusion splicing events with SAM68 or exon-exclusion splicing events with DDX5 overexpression. The physiological significance in PCa was investigated through the application of clinical exon array analysis, where we identified exon-gene sets that were able to delineate aggressive disease progression profiles and predict patient disease-free outcomes independently of pathological clinical criteria. Using a clinical dataset with patients categorized as prostate cancer-specific death (PCSD), these exon gene sets further identified a select group of patients with extremely poor disease-free outcomes. Overall, these results strongly suggest a nonclassical role of AR in mediating robust alternative RNA splicing in PCa. Moreover, AR-mediated alternative spicing contributes to aggressive PCa progression, where we identified a new subtype of lethal PCa defined by AR-dependent alternative splicing.
Humans
;
Male
;
Alternative Splicing
;
Cell Line, Tumor
;
DEAD-box RNA Helicases/metabolism*
;
Disease Progression
;
Gene Expression Regulation, Neoplastic
;
Prostatic Neoplasms/pathology*
;
Receptors, Androgen/metabolism*
;
RNA Splicing Factors/metabolism*
5.5'-tiRNA-Gln inhibits hepatocellular carcinoma progression by repressing translation through the interaction with eukaryotic initiation factor 4A-I.
Chengdong WU ; Dekai LIU ; Lufei ZHANG ; Jingjie WANG ; Yuan DING ; Zhongquan SUN ; Weilin WANG
Frontiers of Medicine 2023;17(3):476-492
tRNA-derived small RNAs (tsRNAs) are novel non-coding RNAs that are involved in the occurrence and progression of diverse diseases. However, their exact presence and function in hepatocellular carcinoma (HCC) remain unclear. Here, differentially expressed tsRNAs in HCC were profiled. A novel tsRNA, tRNAGln-TTG derived 5'-tiRNA-Gln, is significantly downregulated, and its expression level is correlated with progression in patients. In HCC cells, 5'-tiRNA-Gln overexpression impaired the proliferation, migration, and invasion in vitro and in vivo, while 5'-tiRNA-Gln knockdown yielded opposite results. 5'-tiRNA-Gln exerted its function by binding eukaryotic initiation factor 4A-I (EIF4A1), which unwinds complex RNA secondary structures during translation initiation, causing the partial inhibition of translation. The suppressed downregulated proteins include ARAF, MEK1/2 and STAT3, causing the impaired signaling pathway related to HCC progression. Furthermore, based on the construction of a mutant 5'-tiRNA-Gln, the sequence of forming intramolecular G-quadruplex structure is crucial for 5'-tiRNA-Gln to strongly bind EIF4A1 and repress translation. Clinically, 5'-tiRNA-Gln expression level is negatively correlated with ARAF, MEK1/2, and STAT3 in HCC tissues. Collectively, these findings reveal that 5'-tiRJNA-Gln interacts with EIF4A1 to reduce related mRNA binding through the intramolecular G-quadruplex structure, and this process partially inhibits translation and HCC progression.
Humans
;
Carcinoma, Hepatocellular/pathology*
;
Liver Neoplasms/pathology*
;
Eukaryotic Initiation Factor-4A/genetics*
;
Cell Line
;
RNA, Transfer/metabolism*
;
RNA
;
Cell Proliferation
6.Group Ⅱ introns and the application in biotechnology: a review.
Guzhen CUI ; Dengxiong HUA ; Junying GU ; Zhenghong CHEN
Chinese Journal of Biotechnology 2022;38(3):915-924
Group Ⅱ introns are self-splicing ribozymes, which insert directly into target sites in DNA with high frequency through "retrohoming". They specifically and efficiently recognize and splice DNA target sites, endowing themselves with great potential in genetic engineering. This paper reviewed the gene targeting principle of group Ⅱ introns and the application in microbial genetic modification, and then analyzed the limitations of them in multi-functional gene editing and eukaryotes based on the "retrohoming" characteristics and the dependence on high Mg2+ concentration. Finally, we dissected the potential of group Ⅱ introns in the development of novel gene editing tools based on our previous research outcome and the structural characteristics of the introns, hoping to provide a reference for the application of group Ⅱ introns in biotechnology.
DNA
;
Eukaryota
;
Gene Targeting
;
Introns/genetics*
;
RNA, Catalytic/genetics*
7.m7G-lncRNAs are potential biomarkers for prognosis and tumor microenvironment in patients with colon cancer.
Shu Ran CHEN ; Rui DONG ; Yan LI ; Hua Zhang WU ; Mu Lin LIU
Journal of Southern Medical University 2022;42(5):681-689
OBJECTIVE:
To assess the value of m7G-lncRNAs in predicting the prognosis and microenvironment of colorectal cancer (CRC).
METHODS:
We screened m7G-lncRNAs from TCGA to construct an m7G-lncRNAs risk model using multivariate Cox analysis, which was validated using ROC and C-index curves. Calibration and nomogram were used to predict the prognosis of CRC patients. Point-bar charts and K-M survival curves were used to assess the correlation of risk scores with the patients' clinical staging and prognosis. CIBERSORT and ESTIMATE were used to explore the association between the tumor microenvironment and immune cell infiltration in patients in high and low risk groups and the correlation of risk scores with microsatellite instability, stem cell index and immune checkpoint expression. A protein-protein interaction network was constructed, and the key targets regulated by m7G-lncRNAs were identified and validated in paired samples of CRC and adjacent tissues by immunoblotting.
RESULTS:
We identified a total of 1722 m7G-lncRNAs from TCGA database, from which 12 lncRNAs were screened to construct the risk model. The AUCs of the risk model for predicting survival outcomes at 1, 3 and 5 years were 0.727, 0.747 and 0.794, respectively. The AUC of the nomogram for predicting prognosis was 0.794, and the predicted results were consistent with actual survival outcomes of the patients. The patients in the high-risk group showed more advanced tumor stages and a greater likelihood of high microsatellite instability than those in the low-risk group (P < 0.05). The tumor stemness index was negatively correlated with the risk score (r=-0.19; P=7.3e-05). Patients in the high-risk group had higher stromal cell scores (P=0.0028) and higher total scores (P=0.007) with lowered expressions of activated mast cells (r=-0.11; P=0.045) and resting CD4+ T cells (r=-0.14; P=0.01) and increased expressions of most immune checkpoints (P < 0.05). ATXN2 (P= 0.006) and G3BP1 (P=0.007) were identified as the key targets regulated by m7G-lncRNAs, and their expressions were both higher in CRC than in adjacent tissues.
CONCLUSION
The risk model based on 12 m7G-lncRNAs has important prognostic value for CRC and can reflect the microenvironment and the efficacy of immunotherapy in the patients.
Biomarkers, Tumor/metabolism*
;
Colonic Neoplasms
;
DNA Helicases/metabolism*
;
Gene Expression Regulation, Neoplastic
;
Humans
;
Microsatellite Instability
;
Poly-ADP-Ribose Binding Proteins/metabolism*
;
Prognosis
;
RNA Helicases/metabolism*
;
RNA Recognition Motif Proteins/metabolism*
;
RNA, Long Noncoding/metabolism*
;
Tumor Microenvironment
8.Exploration of the therapeutic mechanism of Yiqi Jiedu recipe for treatment of primary liver cancer based on network pharmacology and molecular docking.
Meng XU ; Peng ZHANG ; Guo Liang ZHANG
Journal of Southern Medical University 2022;42(6):805-814
OBJECTIVE:
To explore the effective components of Yiqi Jiedu recipe and the main biological processes and signal pathways involved in the therapeutic mechanism of the recipe in treatment of primary liver cancer through network pharmacology and molecular docking approaches.
METHODS:
TCMSP, Uniport, Genecards and String databases were searched to obtain the target genes of drugs and disease using Cytoscape 3.8.2 software. GO and KEGG enrichment analyses were performed to identify the common genes in the target genes of the drugs and disease. Using Pubcham, RCSB and Autoduck, the effective components of the drugs were connected with the final core genes. The effects of different concentrations of Yiqi Jiedu recipe on the expressions of the core genes DHX9, HNRNPK, NCL and PABPC1 in HepG2 cells were analyzed with Western blotting and real- time fluorescence quantitative PCR.
RESULTS:
We finally identified 8 core genes from the drug and disease targets, including DDX5, HNRNPK, PABPC1, DHX9, RPS3A, RPS3, RPL13, and NCL. GO analysis showed that these core genes were involved mainly in the biological processes of adrenaline receptor signal communication, movement of cellular or subcellular components, blood particles, adhesion class and iron ion binding. KEGG analysis showed that the Ras signaling pathway had the greatest gene enrichment. The results of molecular docking suggested that the effective components of the recipe were capable of docking with the core genes under natural conditions, and PABPC1 and stigmasterol had the highest binding energy. In HepG2 cells, treatment with 10% medicated serum for 48 h had the strongest effect on the expression of DHX9, HNRNPK, NCL and PABPC1 (P < 0.05).
CONCLUSION
Yiqi Jiedu recipe is capable of regulating viral expression of primary liver cancer multiple effective components that bind to DHX9, HNRNPK, NCL and PABPC1.
DEAD-box RNA Helicases
;
Drugs, Chinese Herbal/therapeutic use*
;
Humans
;
Liver Neoplasms/drug therapy*
;
Molecular Docking Simulation
;
Neoplasm Proteins
;
Network Pharmacology
;
Ribosomal Proteins
;
Signal Transduction
9.Genetic distribution in Chinese patients with hereditary peripheral neuropathy.
Xiao Xuan LIU ; Xiao Hui DUAN ; Shuo ZHANG ; A Ping SUN ; Ying Shuang ZHANG ; Dong Sheng FAN
Journal of Peking University(Health Sciences) 2022;54(5):874-883
OBJECTIVE:
To analyze the distribution characteristics of hereditary peripheral neuropathy (HPN) pathogenic genes in Chinese Han population, and to explore the potential pathogenesis and treatment prospects of HPN and related diseases.
METHODS:
Six hundred and fifty-six index patients with HPN were enrolled in Peking University Third Hospital and China-Japan Friendship Hospital from January 2007 to May 2022. The PMP22 duplication and deletion mutations were screened and validated by multiplex ligation probe amplification technique. The next-generation sequencing gene panel or whole exome sequencing was used, and the suspected genes were validated by Sanger sequencing.
RESULTS:
Charcot-Marie-Tooth (CMT) accounted for 74.3% (495/666) of the patients with HPN, of whom 69.1% (342/495) were genetically confirmed. The most common genes of CMT were PMP22 duplication, MFN2 and GJB1 mutations, which accounted for 71.3% (244/342) of the patients with genetically confirmed CMT. Hereditary motor neuropathy (HMN) accounted for 16.1% (107/666) of HPN, and 43% (46/107) of HPN was genetically confirmed. The most common genes of HMN were HSPB1, aminoacyl tRNA synthetases and SORD mutations, which accounted for 56.5% (26/46) of the patients with genetically confirmed HMN. Most genes associated with HMN could cause different phenotypes. HMN and CMT shared many genes (e.g. HSPB1, GARS, IGHMBP2). Some genes associated with dHMN-plus shared genes associated with amyotrophic lateral sclerosis (KIF5A, FIG4, DCTN1, SETX, VRK1), hereditary spastic paraplegia (KIF5A, ZFYVE26, BSCL2) and spinal muscular atrophy (MORC2, IGHMBP, DNAJB2), suggesting that HMN was a continuum rather than a distinct entity. Hereditary sensor and autosomal neuropathy (HSAN) accounted for a small proportion of 2.6% (17/666) in HPN. The most common pathogenic gene was SPTLC1 mutation. TTR was the main gene causing hereditary amyloid peripheral neuropathy. The most common types of gene mutations were p.A117S and p.V50M. The symptoms were characterized by late-onset and prominent autonomic nerve involvement.
CONCLUSION
CMT and HMN are the most common diseases of HPN. There is a large overlap between HMN and motor-CMT2 pathogenic genes, and some HMN pathogenic genes overlap with amyotrophic lateral sclerosis, hereditary spastic hemiplegia and spinal muscular atrophy, suggesting that there may be a potential common pathogenic pathway between different diseases.
Amyotrophic Lateral Sclerosis
;
Charcot-Marie-Tooth Disease/genetics*
;
DNA Helicases/genetics*
;
DNA-Binding Proteins/genetics*
;
Flavoproteins
;
HSP40 Heat-Shock Proteins
;
Humans
;
Intracellular Signaling Peptides and Proteins/genetics*
;
Kinesins
;
Ligases/genetics*
;
Molecular Chaperones
;
Multifunctional Enzymes
;
Muscular Atrophy, Spinal/genetics*
;
Mutation
;
Phosphoric Monoester Hydrolases
;
Protein Serine-Threonine Kinases
;
RNA Helicases/genetics*
;
RNA, Transfer
;
Transcription Factors/genetics*
10.Construction and clinical evaluation of N6-methyladenosine risk signature of YTHDC2, IGF2BP2, and HNRNPC in head and neck squamous cell carcinoma.
Qiangwei YUE ; Le XU ; Dongsheng ZHANG
West China Journal of Stomatology 2022;40(6):704-709
OBJECTIVES:
This work aimed to construct N6-methyladenosine (m6A) regulator-based prognostic signature and evaluate the prognostic value and the intervention on tumor immune microenvironment of this m6A risk signature.
METHODS:
Using transcriptome and clinical data of head and neck squamous cell carcinoma (HNSCC) from The Cancer Genome Atlas (TCGA), we profiled m6A regulators and constructed an m6A risk signature. The relationship between m6A modulation and immune function was studied by differential gene expression, cell type enrichment, and correlation analyses.
RESULTS:
Fifteen m6A regulators had aberrant expression in HNSCC. A three-gene m6A prognostic signature (i.e., YTHDC2, IGF2BP2, and HNRNPC) was constructed and identified as an independent prognostic indicator for HNSCC. The m6A regulator signature-based high-risk group revealed pro-tumoral immune microenvironment due to the dysregulation of immune-related gene expression, abnormal enrichment of multiple immunocytes, and production of immunoregulatory factors.
CONCLUSIONS
This comprehensive analysis of m6A regulators and tumor immune landscape in HNSCC revealed that the m6A signature of YTHDC2, IGF2BP2, and HNRNPC could serve as a promising biomarker for monitoring HNSCC development and may be a potential target for tumor therapy in the future.
Humans
;
Squamous Cell Carcinoma of Head and Neck/genetics*
;
Gene Expression Regulation, Neoplastic
;
Prognosis
;
Head and Neck Neoplasms/genetics*
;
Tumor Microenvironment/genetics*
;
RNA-Binding Proteins/genetics*
;
Heterogeneous-Nuclear Ribonucleoprotein Group C/genetics*
;
RNA Helicases

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