Genomic Mutations Research Articles

Continual improvement of CRISPR-induced multiplex mutagenesis in Arabidopsis.

CRISPR/Cas9 is currently the most powerful tool to generate mutations in plant genomes and more efficient tools are needed as the scale of experiments increases. In the model plant Arabidopsis, the choice of the promoter driving Cas9 expression is critical to generate germline mutations. Several optimal promoters have been reported. However, it is unclear which promoter is ideal as they have not been thoroughly tested side by side. Furthermore, most plant vectors still use one of the two Cas9 nuclear localization sequence (NLS) configurations initially reported. We genotyped more than 6000 Arabidopsis T2 plants to test seven promoters and six types of NLSs across 14 targets to systematically improve the generation of single and multiplex inheritable mutations. We foundthat the RPS5A promoter and bipartite NLS were individually the most efficient components. When combined, 99% of T2 plants contained at least one knockout (KO) mutation and 84% contained 4- to 7-plex KOs, the highest multiplexing KO rate in Arabidopsis to date. These optimizations will be useful to generate higher-order KOs in the germline of Arabidopsis and will likely be applicable to other CRISPR systems as well.

Developing predictive models for HIV Drug resistance: A genomic and AI approach

This paper proposes a novel approach to combating HIV drug resistance through the development of predictive models leveraging genomic data and artificial intelligence (AI). With the increasing prevalence of drug-resistant strains of HIV, there is a critical need for innovative strategies to predict and manage resistance mutations, thereby optimizing treatment outcomes and prolonging the efficacy of antiretroviral therapy (ART). Drawing on advances in genomics and AI, this study outlines a conceptual framework for the development of predictive models that can identify potential drug-resistance mutations in HIV genomes and inform clinical decision-making. The proposed framework integrates genomic data from HIV-infected individuals with AI algorithms capable of learning complex patterns within the data. By analyzing genomic sequences obtained from HIV-positive patients, the models aim to identify genetic variations associated with drug resistance, predict the likelihood of resistance development, and guide the selection of appropriate treatment regimens. This approach holds promise for personalized medicine in HIV care, enabling clinicians to tailor therapy based on an individual's genetic profile and risk of resistance. Key components of the conceptual framework include data preprocessing to extract relevant genomic features, model training using machine learning techniques such as deep learning and ensemble methods, and validation of predictive performance through cross-validation and independent testing. Furthermore, the integration of clinical data, such as treatment history and viral load measurements, enhances the predictive accuracy of the models and provides valuable insights into treatment response dynamics.The development of predictive models for HIV drug resistance represents a paradigm shift in HIV care, offering a proactive approach to treatment management and surveillance. By leveraging genomic and AI technologies, healthcare providers can anticipate and address emerging resistance mutations before they compromise treatment efficacy. Ultimately, the implementation of predictive models holds the potential to improve patient outcomes, reduce the transmission of drug-resistant HIV strains, and advance the global fight against HIV/AIDS. Keywords: Developing, Predictive Models, HIV Drug Resistance, Genomic, AI Approach.

Abstract PO3-19-06: MRD Assay evaluates Recurrence and response via a tumor Informed Assessment: MARIA-Breast Observational Trial

Abstract Background: Detectable ctDNA in patients with solid tumors has been associated with disease prognosis pre-treatment, assessing response to therapy in the form of minimal residual disease (MRD), and monitoring for recurrence after curative intent treatment. Utilizing patient-specific genomic mutation profiling of an individual’s cancer from a tissue sample, in conjunction with the patient’s germline DNA, to create a personalized sequencing panel to analyze for a subset of these genetic mutations from ctDNA in blood is a strategy that has high sensitivity for detecting MRD. Studies have shown that pretreatment levels of ctDNA using this approach are a potential early indicator of disease recurrence after surgery, that ctDNA clearance may be an early predictor of favorable outcomes and has been shown to correlate with pathologic complete response (Forde et al. N Engl J Med. 2022, PMID:35403841), and that this approach has high sensitivity for detecting recurrence for patients in advance of the current standard of care (Abbosh et al. Cancer Res (2020) 80 (16_Supplement): CT023). Methods: This is a multi-site, prospective, observational trial in the United States of 200 patients with early stage breast cancer using a patient-specific tumor-informed MRD assay for ctDNA analysis. Participants are asked to provide study specimens prior to initial treatment intervention, after curative intent surgical resection, during adjuvant therapy (as applicable) and pre-recurrence follow-up. ctDNA will be analyzed with an NGS-based, tumor-informed MRD assay that identifies somatic mutations from DNA obtained from the patient’s tumor tissue, subtracts germline variants via NGS-based analysis of the patient’s germline DNA, and detects a selected set of between 18-50 tumor-specific ctDNA in their blood. All primary tumor specimens will undergo full exome sequencing using the Personalized Cancer Monitoring (PCM) assay. Impact of results of this CLIA-approved MRD assay on clinical decision making will be captured. The primary objective is to assess the ability of MRD to predict post-treatment recurrence. Further objectives are to correlate MRD status with pathologic complete response, determine the lead time to detection of recurrence compared to standard of care, and the association of MRD status with overall survival. Active enrollment started in March, 2022. Support: Invitae. Clinical trial information: NCT05219734. Citation Format: Edward Esplin, Kelli Swan, Lee Ifhar, Brandie Heald, Sarah Nielsen, Daniel Pineda-Alvarez, William O'Callaghan, Robert Daber, Darrel Ross, Carlos Vieira, Aadel Chaudhuri, W. Korn. MRD Assay evaluates Recurrence and response via a tumor Informed Assessment: MARIA-Breast Observational Trial [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-19-06.

Abstract PO5-27-03: Mutational impact of APOBEC3A and APOBEC3B in a human cell line

Abstract A major source of mutation in cancer is DNA cytosine deamination by APOBEC3 enzymes resulting in C-to-T and C-to-G mutations in TCA and TCT motifs. Here, we develop a selectable system to quantify genomic mutations and compare the mutagenic activities of three leading APOBEC3 candidates - APOBEC3A, APOBEC3B, and APOBEC3H. The human cell line, HAP1, is engineered to express the thymidine kinase (TK) gene of HSV-1, which confers sensitivity to ganciclovir. Expression of APOBEC3A and APOBEC3B, but not catalytic mutant controls or APOBEC3H, triggers increased frequencies of TK mutation and nearly indistinguishable TC-biased cytosine mutation profiles in the selectable TK reporter gene. Whole genome sequences from TK mutant clones enabled an analysis of thousands of single base substitution mutations and extraction of local sequence preferences with APOBEC3A preferring YTCW motifs over 70% of the time and APOBEC3B just under 50% of the time (Y=C/T; W=A/T). Signature comparisons with breast tumor whole genome sequences indicate that most malignancies manifest intermediate percentages of APOBEC3 signature mutations in YTCW motifs, mostly between 50 and 70%, suggesting that both enzymes are contributing in a combinatorial manner to the overall mutation landscape. These studies combine to help resolve a long-standing etiologic debate on the source of APOBEC3 signature mutations in cancer and indicate that future diagnostic and therapeutic efforts should focus on both enzymes. Citation Format: Michael Carpenter, Nuri Temiz, Mahmoud Ibrahim, Matthew Jarvis, Margaret Brown, Prokopios Argyris, William Brown, Douglas Yee, Reuben Harris. Mutational impact of APOBEC3A and APOBEC3B in a human cell line [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-27-03.

Abstract PO4-03-11: Discerning the impact of ctDNA detection on patient decisions in early-stage breast cancer

Abstract Background: Detection of circulating tumor DNA (ctDNA) after neoadjuvant therapy for triple negative breast cancer (TNBC) is associated with increased risk of recurrence. Ongoing trials aim to determine whether knowledge of specific genomic mutations in ctDNA can inform targeted adjuvant therapy to improve prognosis. The impact of knowledge of ctDNA status on patient treatment decisions weighing benefit and toxicity is unknown. Methods: 401 women were recruited via the Research Advocacy Network from Young Survivors’ Coalition, Living Beyond Breast Cancer, and Pink-4-Ever Ending Disparities. Participants had to self-report a history of non-metastatic breast cancer and have received chemotherapy in the prior 6 months to 10 years to be eligible. Participants completed a 27 question Qualtrics survey detailing demographics and experience with prior chemotherapy. Based on estimations from prior data, participants were presented with scenarios mimicking residual TNBC and unknown, negative, or positive ctDNA status with corresponding risk of recurrence of 40%, 20%, or 55% respectively. Participants were then presented with 12 scenarios (in random order) combining various degrees of absolute risk reduction (5%, 15%, 35%) with established toxicity profiles of four possible post-neoadjuvant therapies (capecitabine, immunotherapy, PARP inhibitor, and PI3K inhibitor). Participants rated scenarios in terms of acceptability from 0-100. A general linear model with repeated measures (3 × 4) was used to determine the contributions of risk reduction and toxicity to acceptability. Models were also run with the addition of between subject factors: age group (< 40; >40), stage of cancer (Stage 1; Stage 2/3), and previous experience with toxicity (Yes; No), to examine whether any of these factors moderated the effects of risk reduction and toxicity. Effect sizes were determined by partial h2. Results: 286 eligible respondents completed the survey with evaluable responses. Average age was 41.2 (range 27-75). When the hypothetical risk of recurrence decreased from 40% (ctDNA-unknown) to 20% (ctDNA-negative), significantly less participants preferred adjuvant capecitabine vs. no therapy (95.1% versus 63.3%, p< 0.001). Across the 12 scenarios, both benefit (F=448.5, p< 0.001; preference for greater benefit) and toxicity (F=33.64, p< 0.001; preference for lower toxicity) significantly influenced acceptability, but benefit had a much larger effect size than toxicity (h2=0.76 and 0.26, respectively). There was no significant interaction effect, and the pattern of results was not moderated by age, stage of cancer, or prior experience with chemotherapy toxicity. The most preferred scenario (greatest benefit, lowest toxicity) had a mean rating of 87.8/100; however, even when presented with the scenario with the lowest benefit and highest toxicity, the mean rating was still 31.5/100, suggesting that this combination would be acceptable to some individuals. Conclusions: Knowledge of ctDNA-negative status significantly reduced the number of participants preferring adjuvant capecitabine over no further therapy. When faced with ctDNA-positive status, participants preferred maximum risk reduction regardless of toxicity profile. As genomic technology advances, it is imperative that researchers and treating physicians understand its impact on patient decision making. Citation Format: Tarah Ballinger, Gregory Zimet, Elda Railey, Mary Lou Smith, Bryan Schneider. Discerning the impact of ctDNA detection on patient decisions in early-stage breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-03-11.

Experimental evolution for the recovery of growth loss due to genome reduction.

As the genome encodes the information crucial for cell growth, a sizeable genomic deficiency often causes a significant decrease in growth fitness. Whether and how the decreased growth fitness caused by genome reduction could be compensated by evolution was investigated here. Experimental evolution with an Escherichia coli strain carrying a reduced genome was conducted in multiple lineages for approximately 1000 generations. The growth rate, which largely declined due to genome reduction, was considerably recovered, associated with the improved carrying capacity. Genome mutations accumulated during evolution were significantly varied across the evolutionary lineages and were randomly localized on the reduced genome. Transcriptome reorganization showed a common evolutionary direction and conserved the chromosomal periodicity, regardless of highly diversified gene categories, regulons, and pathways enriched in the differentially expressed genes. Genome mutations and transcriptome reorganization caused by evolution, which were found to be dissimilar to those caused by genome reduction, must have followed divergent mechanisms in individual evolutionary lineages. Gene network reconstruction successfully identified three gene modules functionally differentiated, which were responsible for the evolutionary changes of the reduced genome in growth fitness, genome mutation, and gene expression, respectively. The diversity in evolutionary approaches improved the growth fitness associated with the homeostatic transcriptome architecture as if the evolutionary compensation for genome reduction was like all roads leading to Rome.

Experimental evolution for the recovery of growth loss due to genome reduction

Experimental evolution for the recovery of growth loss due to genome reduction

Genomic landscape and distinct molecular subtypes of primary testicular lymphoma.

Primary testicular lymphoma (PTL) is a rare lymphoma predominantly occurring in the elderly male population. It is characterized by a limited response to treatment and a heightened tendency towards relapse. Histologically, approximately 90% of PTL cases are classified as diffuse large B-cell lymphomas (DLBCL). Genetic features of PTL were delineated in a limited scope within several independent studies. Some of the articles which analyzed the genetic characterization of DLBCL have incorporated PTL samples, but these have been constrained by small sample sizes. In addition, there have been an absence of independent molecular typing studies of PTL. This report summarizes the common mutational features, copy number variations (CNVs) and molecular typing of PTL patients, based on whole-exome sequencing (WES) conducted on a cohort of 25 PTL patients. Among them, HLA, CDKN2A and MYD88 had a high mutation frequency. In addition, we found two core mutational characteristics in PTL including mutation in genes linked to genomic instability (TP53 and CDKN2A) and mutation in immune-related genes (HLA, MYD88, CD79B). We performed molecular typing of 25 PTL patients into C1 subtype with predominantly TP53 mutations and C2 subtype with predominantly HLA mutations. Notably, mutations in the TP53 gene predicted a poor outcome in most types of lymphomas. However, the C1 subtype, dominated by TP53 mutations, had a better prognosis compared to the C2 subtype in PTL. C2 subtype exhibited a worse prognosis, aligning with our finding that the mechanism of immune escape in PTL was primarily the deletions of HLA rather than PD-L1/PD-L2 alterations, a contrast to other DLBCLs. Moreover, we calculated the tumor mutation burden (TMB) and identified that TMB can predict prognosis and recurrence rate in PTL. Our study underscores the significance of molecular typing in PTL based on mutational characteristics, which plays a crucial role in prognostication and guiding therapeutic strategies for patients.

The pathogenicity and potential risk evaluation of Zika virus to cause mysterious "Disease X": A brief report.

Disease X is included to represent an unknown pathogen that has the potential to spread globally and trigger significant epidemics. The World Health Organization (WHO) and the Global Alliance for Vaccine and Immunization (GAVI) recommend 10 potential disease organisms responsible for disease X. Among them, the Zika virus (ZIKV) is one of the potential organisms. The present work aimed to evaluate the current pathogenicity and potential risk of the ZIKV for public health emergencies. We performed a brief review of existing literature from available sources using Zika fever, Zika virus, and Flaviviridae as keywords and extracted relevant information for this review. The primary way that the ZIKV transmits to humans is by mosquito bites (Aedes aegypti and Aedes albopictus). Typically, Aedes mosquitoes bite during the day. As an RNA virus, the ZIKV is well-known for its rapid mutation rate. ZIKV strains or variations can arise due to genomic mutations, and they occur through various processes, including replication errors, recombination, and selection pressure. Nowadays, the ZIKV has also evolved into a global pandemic because the four-amino acid sequence fits the envelope protein's 154 glycosylation motif, which may be involved in virulence. There is no specific medicine or vaccine available for the prevention or treatment of ZIKV infection. Therefore, personal protective measures should be the way to prevent ZIKV disease. Therefore, avoiding exposure is the best way to prevent problems from ZIKV to mosquitoes.

Serine Protease 27, a Prognostic Biomarker in Pan-cancer and Associated with the Aggressive Progression of Breast Cancer.

To create effective medicines, researchers must first identify the common or unique genes that drive oncogenic processes in human cancers. Serine protease 27 (PRSS27) has been recently defined as a possible driver gene in esophageal squamous cell carcinoma. However, no thorough pan-cancer study has been performed to date, including breast cancer. Using the TCGA (The Cancer Genome Atlas), the GEO (Gene Expression Omnibus) dataset, and multiple bioinformatic tools, we investigated the function of PRSS27 in 33 tumor types. In addition, prognosis analysis of PRSS27 in breast cancer was carried out, as well as in vitro experiments to verify its role as an oncogene. We first explored the expression of PRSS27 in over 10 tumors and then we looked into PRSS27 genomic mutations. We discovered that PRSS27 has prognostic significance in breast cancer and other cancers' survival, and we developed a breast cancer prognostic prediction model by combining a defined set of clinical factors. Besides, we confirmed PRSS27 as an oncogene in breast cancer using some primary in vitro experiments. Our pan-cancer survey has comprehensively reviewed the oncogenic function of PRSS27 in various human malignancies, suggesting that it may be a promising prognostic biomarker and tumor therapeutic target in breast cancer.

Exploring Genomic Patterns to Identify Drug-Resistant TB: A Comprehensive Study of Age, Gender, Lineage, and Outcome

Background: Tuberculosis (TB) is a prevalent bacterial infection caused by Mycobacterium tuberculosis (Mtb), primarily affecting the lungs, with rising incidence rates. Drug-resistant TB strains, including multidrug-resistant (MDR) and extensively drug-resistant (XDR) types, pose challenges with poor treatment success rates and increased mortality. Demographic factors and genomic patterns contribute to drug resistance, emphasizing the need for new drugs targeting specific genomic patterns.Methods: This study analyzes the impact of demographics, treatment outcomes, and genomic mutations on drug-resistant TB using pattern identification techniques and whole-genome sequencing to discover therapeutic targets. This study primarily focused on the identification and analysis of MDR and XDR strains, considering various demographic characteristics and treatment outcomes. A dataset comprising 2,602 observations was utilized, and pattern recognition techniques were employed to identify significant features. Additionally, the study employs the whole-genome sequencing (WGS) pipeline to identify single nucleotide polymorphisms (SNPs) that result in new mutations in drug-resistant Mtb strains.Results: The findings of the study revealed that XDR and MDR non-XDR TB were the most prevalent types of drug resistance, and they were associated with unfavorable treatment outcomes, including death or treatment failure. Males exhibited a higher susceptibility to both XDR and MDR non-XDR TB compared to females. The age of onset for both types of resistance was approximately 40 years. Among the observed variants in 31 commonly occurring genes,Conclusion: These findings introduce a novel set of therapeutic targets specific to MDR and XDR Mtb types, which warrant further investigation for potential therapeutic interventions.Keywords: Tuberculosis; Drug Resistance; Multidrug resistance; Demographics; Dataset; Gene; Mutations

Clonal hematopoiesis–derived therapy-related myeloid neoplasms after autologous hematopoietic stem cell transplant for lymphoid and non-lymphoid disorders

Therapy-related myeloid neoplasms (tMN) are complications of cytotoxic therapies. Risk of tMN is high in recipients of autologous hematopoietic stem cell transplantation (aHSCT). Acquisition of genomic mutations represents a key pathogenic driver but the origins, timing and dynamics, particularly in the context of preexisting or emergent clonal hematopoiesis (CH), have not been sufficiently clarified. We studied a cohort of 1507 patients undergoing aHSCT and a cohort of 263 patients who developed tMN without aHSCT to determine clinico-molecular features unique to post-aHSCT tMN. We show that tMN occurs in up to 2.3% of patients at median of 2.6 years post-AHSCT. Age ≥ 60 years, male sex, radiotherapy, high treatment burden ( ≥ 3 lines of chemotherapy), and graft cellularity increased the risk of tMN. Time to evolution and overall survival were shorter in post-aHSCT tMN vs. other tMN, and the earlier group’s mutational pattern was enriched in PPM1D and TP53 lesions. Preexisting CH increased the risk of adverse outcomes including post-aHSCT tMN. Particularly, antecedent lesions affecting PPM1D and TP53 predicted tMN evolution post-transplant. Notably, CH-derived tMN had worse outcomes than non CH-derived tMN. As such, screening for CH before aHSCT may inform individual patients’ prognostic outcomes and influence their prospective treatment plans. Presented in part as an oral abstract at the 2022 American Society of Hematology Annual Meeting, New Orleans, LA, 2022.

Comparatively analyzed pattern of Delta and Omicron SARS-CoV-2 genovariant dominated COVID-19 incidence in the population of the Saratov region

Despite the stable decline in SARS-CoV-2 virus-caused COVID-19 incidence in most countries worldwide by the end of 2023, spreading of this infection on a global scale remains relevant. Among all known SARS-CoV-2 genovariants, within the last about two years Omicron remains dominant. The distinctive properties of this genovariant are presented by short incubation period (1–5 days), high contagiousness, and a relatively mild disease course due to largest number of genomic mutations among all SARS-CoV-2 genovariants. The first case of Omicron genovariant-caused infection in Russia was recorded in early December 2021. Over many month-monitoring after active spread of the genovariant in Russia, it is obvious that in a number of key characteristics it differs profoundly from previous SARS-CoV-2 genovariants. Analyzing major patterns inherent in COVID-19 epidemic process particularly uncovering geographic features is one of the most crucial activities in COVID-19 surveillance. Here, we provide a comparatively analyzed pattern of Delta and Omicron SARS-CoV-2 genovariant dominated COVID-19 incidence in the population of the Saratov region. For this, there was used statistical reporting from the Office of Rospotrebnadzor for the Saratov Region. The main research method is based on epidemiological analysis. The study data showed that upon Omicron genovariant dominance, an increased percentage in COVID-19 cases among children of varying age, increased rate of infected subjects with unknown source of infection as well as improved clinical disease course were recorded. Regardless of the circulating genovariant, elderly people remain to be in risk group. Thus, after three years of the COVID-19 pandemic, the mutual adaptation for SARS-CoV-2 and human population can be observed, which is accompanied by altered biological properties of the former and the accumulation of herd immunity. Alleviated disease symptoms and decreased mortality rate among Omicron genovariant-infected individuals evidence in favor of further COVID-19 transformation into a seasonal infection.

Surfing the Waves of SARS-CoV-2: Analysis of Viral Genome Variants Using an NGS Survey in Verona, Italy.

The availability of new technologies for deep sequencing, including next-generation sequencing (NGS), allows for the detection of viral genome variations. The epidemiological determination of SARS-CoV-2 viral genome changes during the pandemic waves displayed the genome evolution and subsequent onset of variants over time. These variants were often associated with a different impact on viral transmission and disease severity. We investigated, in a retrospective study, the trend of SARS-CoV-2-positive samples collected from the start of the Italian pandemic (January 2020) to June 2023. In addition, viral RNAs extracted from 938 nasopharyngeal swab samples were analyzed using NGS between February 2022 and June 2023. Sequences were analyzed with bioinformatic tools to identify lineages and mutations and for phylogenetic studies. Six pandemic waves were detected. In our samples, we predominantly detected BA.2, BQ.1, BA.5.1, BA.5.2, and, more recently, XBB.1 and its subvariants. The data describe the SARS-CoV-2 genome evolution involved in viral interactions with the host and the dynamics of specific genome mutations and deletions.

A novel TCGA-validated programmed cell-death-related signature of ovarian cancer

BackgroundOvarian cancer (OC) is a gynecological malignancy tumor with high recurrence and mortality rates. Programmed cell death (PCD) is an essential regulator in cancer metabolism, whose functions are still unknown in OC. Therefore, it is vital to determine the prognostic value and therapy response of PCD-related genes in OC.MethodsBy mining The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) and Genecards databases, we constructed a prognostic PCD-related genes model and performed Kaplan-Meier (K-M) analysis and Receiver Operating Characteristic (ROC) curve for its predictive ability. A nomogram was created via Cox regression. We validated our model in train and test sets. Quantitative real-time PCR (qRT-PCR) was applied to identify the expression of our model genes. Finally, we analyzed functional analysis, immune infiltration, genomic mutation, tumor mutational burden (TMB) and drug sensitivity of patients in low- and high-risk group based on median scores.ResultsA ten-PCD-related gene signature including protein phosphatase 1 regulatory subunit 15 A (PPP1R15A), 8-oxoguanine-DNA glycosylase (OGG1), HECT and RLD domain containing E3 ubiquitin protein ligase family member 1 (HERC1), Caspase-2.(CASP2), Caspase activity and apoptosis inhibitor 1(CAAP1), RB transcriptional corepressor 1(RB1), Z-DNA binding protein 1 (ZBP1), CD3-epsilon (CD3E), Clathrin heavy chain like 1(CLTCL1), and CCAAT/enhancer-binding protein beta (CEBPB) was constructed. Risk score performed well with good area under curve (AUC) (AUC3 − year =0.728, AUC5 − year = 0.730). The nomogram based on risk score has good performance in predicting the prognosis of OC patients (AUC1 − year =0.781, AUC3 − year =0.759, AUC5 − year = 0.670). Kyoto encyclopedia of genes and genomes (KEGG) analysis showed that the erythroblastic leukemia viral oncogene homolog (ERBB) signaling pathway and focal adhesion were enriched in the high-risk group. Meanwhile, patients with high-risk scores had worse OS. In addition, patients with low-risk scores had higher immune-infiltrating cells and enhanced expression of checkpoints, programmed cell death 1 ligand 1 (PD-L1), indoleamine 2,3-dioxygenase 1 (IDO-1) and lymphocyte activation gene-3 (LAG3), and were more sensitive to A.443,654, GDC.0449, paclitaxel, gefitinib and cisplatin. Finally, qRT-PCR confirmed RB1, CAAP1, ZBP1, CEBPB and CLTCL1 over-expressed, while PPP1R15A, OGG1, CASP2, CD3E and HERC1 under-expressed in OC cell lines.ConclusionOur model could precisely predict the prognosis, immune status and drug sensitivity of OC patients.

SARS-CoV-2-ORF3a variant Q57H reduces its pro-apoptotic activity in host cells

Background Mutations in the viral genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can enhance its pathogenicity by affecting its transmissibility, disease severity, and overall mortality in human populations. In addition to mutations within the coding region of SARS-CoV-2 structural proteins, there have been reports of mutations in other SARS-CoV-2 proteins that affect virulence, such as open reading frame 3a (ORF3a), which is involved in viral replication. The expression of ORF3a in host cells activates cell death signaling, leading to tissue damage, which affects the severity of COVID-19. The ORF3a-Q57H variant is the most frequent and recurrent variant of ORF3a and is likely associated with increased transmissibility but lower mortality in the 4th epidemic wave of COVID-19 in Hong Kong. Computational structural modeling predicted that the Q57H variant destabilizes the protein structure of ORF3a, which may result in reduced protein expression in human cells. However, it is still unknown how this mutation affects ORF3a protein function and, if so, whether it can change the severity of host cell damage. Methods Plasmids carrying SARS-CoV-2-ORF3a from Wuhan-Hu-1 strain (i.e., wild-type; WT) and its variant Q57H were transiently transfected into HEK293T cells and used for biochemical and cell biological assays. Results SARS-CoV-2-ORF3a-Q57H variant exhibits higher protein expression than WT, but ORF3a-Q57H expression results in less apoptosis in host cells compared to WT via lower activation of the extrinsic apoptotic pathway. Conclusion The relatively mild phenotype of the SARS-CoV-2-ORF3a-Q57H variant may result from alterations to ORF3a function by this mutation, rather than its protein expression levels in host cells.

Update on the Basic Understanding of Fusarium graminearum Virulence Factors in Common Wheat Research.

Wheat is one of the most important food crops, both in China and worldwide. Wheat production is facing extreme stresses posed by different diseases, including Fusarium head blight (FHB), which has recently become an increasingly serious concerns. FHB is one of the most significant and destructive diseases affecting wheat crops all over the world. Recent advancements in genomic tools provide a new avenue for the study of virulence factors in relation to the host plants. The current review focuses on recent progress in the study of different strains of Fusarium infection. The presence of genome-wide repeat-induced point (RIP) mutations causes genomic mutations, eventually leading to host plant susceptibility against Fusarium invasion. Furthermore, effector proteins disrupt the host plant resistance mechanism. In this study, we proposed systematic modification of the host genome using modern biological tools to facilitate plant resistance against foreign invasion. We also suggested a number of scientific strategies, such as gene cloning, developing more powerful functional markers, and using haplotype marker-assisted selection, to further improve FHB resistance and associated breeding methods.

Genomic profile of eGFP-tagged senecavirus A subjected to serial plaque-to-plaque transfers

Senecavirus A (SVA) belongs to the genus Senecavirus in the family Picornaviridae. This virus possesses a positive-sense, single-stranded RNA genome, approximately 7200 nt in length, composed of a single 5′ untranslated region, encoding region and 3′ untranslated region. In this study, a recombinant SVA tagged with enhanced green fluorescent protein (eGFP) sequence, rSVA-eGFP, was rescued from its cDNA clone using reverse genetics. The passage-5 (P5) rSVA-eGFP was totally subjected to 55 rounds of consecutive fluorescent plaque-to-fluorescent plaque (FP-FP) transfers, and one extra common passaging in vitro. The P61 viral stock was analyzed by next-generation sequencing. The result showed ten single-nucleotide mutations (SNMs) in the rSVA-eGFP genome, including nine transitions and only one transversion. The P61 progeny still showed a complete eGFP sequence, indicating no occurrence of copy-choice recombination within the eGFP region during serial FP-FP transfers. In other words, this progeny was genetically deficient in the recombination of eGFP sequence (RES), namely, an RES-deficient strain. Out of ten SNMs, three were missense mutations, leading to single-amino acid mutations (SAAMs): F15V in L protein, A74T in VP2, and E53R in 3D protein. The E53R was predicted to be spatially adjacent to the RNA channel of 3D protein, perhaps involved in the emergence of RES-deficient strain. In conclusion, this study uncovered a global landscape of rSVA-eGFP genome after serial FP-FP transfers, and moreover shed light on a putative SAAM possibly related to the RES-deficient mechanism.

Multigenic Hairpin Transgenes in Tomato Confer Resistance to Multiple Orthotospoviruses Including Sw-5 Resistance-Breaking Tomato Spotted Wilt Virus.

Tomato spotted wilt virus (TSWV) and related thrips-borne orthotospoviruses are a threat to food and ornamental crops. Orthotospoviruses have the capacity for rapid genetic change by genome segment reassortment and mutation. Genetic resistance is one of the most effective strategies for managing orthotospoviruses, but there are multiple examples of resistance gene breakdown. Our goal was to develop effective multigenic, broad-spectrum resistance to TSWV and other orthotospoviruses. The most conserved sequences for each open reading frame (ORF) of the TSWV genome were identified, and comparison with other orthotospoviruses revealed sequence conservation within virus clades; some overlapped with domains with well-documented biological functions. We made six hairpin constructs, each of which incorporated sequences matching portions of all five ORFs. Tomato plants expressing the hairpin transgene were challenged with TSWV by thrips and leaf-rub inoculation, and four constructs provided strong protection against TSWV in foliage and fruit. To determine if the hairpin constructs provided protection against other emerging orthotospoviruses, we challenged the plants with tomato chlorotic spot virus and resistance-breaking TSWV and found that the same constructs also provided resistance to these related viruses. Antiviral hairpin constructs are an effective way to protect plants from multiple orthotospoviruses and are an important strategy in the fight against resistance-breaking TSWV and emerging viruses. Targeting of all five viral ORFs is expected to increase the durability of resistance, and combining them with other resistance genes could further extend the utility of this disease control strategy. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Live-attenuated CHIKV vaccine with rearranged genome replicates in vitro and induces immune response in mice.

Chikungunya fever virus (CHIKV) is a mosquito-borne alphavirus that causes wide-spread human infections and epidemics in Asia, Africa and recently, in the Americas. CHIKV is considered a priority pathogen by CEPI and WHO. Despite recent approval of a live-attenuated CHIKV vaccine, development of additional vaccines is warranted due to the worldwide outbreaks of CHIKV. Previously, we developed immunization DNA (iDNA) plasmid capable of launching live-attenuated CHIKV vaccine in vivo. Here we report the use of CHIKV iDNA plasmid to prepare a novel, live-attenuated CHIKV vaccine V5040 with rearranged RNA genome. In V5040, genomic RNA was rearranged to encode capsid gene downstream from the glycoprotein genes. Attenuated mutations derived from experimental CHIKV 181/25 vaccine were also engineered into E2 gene of V5040. The DNA copy of rearranged CHIKV genomic RNA with attenuated mutations was cloned into iDNA plasmid pMG5040 downstream from the CMV promoter. After transfection in vitro, pMG5040 launched replication of V5040 virus with rearranged genome and attenuating E2 mutations. Furthermore, V5040 virus was evaluated in experimental murine models for general safety and immunogenicity. Vaccination with V5040 virus subcutaneously resulted in elicitation of CHIKV-specific, virus-neutralizing antibodies. The results warrant further evaluation of V5040 virus with rearranged genome as a novel live-attenuated vaccine for CHIKV.