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Scientific Reports Jun 2024Detecting aberrant cell-free DNA (cfDNA) methylation is a promising strategy for lung cancer diagnosis. In this study, our aim is to identify methylation markers to...
Detecting aberrant cell-free DNA (cfDNA) methylation is a promising strategy for lung cancer diagnosis. In this study, our aim is to identify methylation markers to distinguish patients with lung cancer from healthy individuals. Additionally, we sought to develop a deep learning model incorporating cfDNA methylation and fragment size profiles. To achieve this, we utilized methylation data collected from The Cancer Genome Atlas and Gene Expression Omnibus databases. Then we generated methylated DNA immunoprecipitation sequencing and genome-wide Enzymatic Methyl-seq (EM-seq) form lung cancer tissue and plasma. Using these data, we selected 366 methylation markers. A targeted EM-seq panel was designed using the selected markers, and 142 lung cancer and 56 healthy samples were produced with the panel. Additionally, cfDNA samples from healthy individuals and lung cancer patients were diluted to evaluate sensitivity. Its lung cancer detection performance reached an accuracy of 81.5% and an area under the receiver operating characteristic curve of 0.87. In the serial dilution experiment, we achieved tumor fraction detection of 1% at 98% specificity and 0.1% at 80% specificity. In conclusion, we successfully developed and validated a combination of methylation panel and a deep learning model that can distinguish between patients with lung cancer and healthy individuals.
Topics: Humans; Lung Neoplasms; DNA Methylation; Deep Learning; Biomarkers, Tumor; Female; Male; Middle Aged; Aged; Cell-Free Nucleic Acids; ROC Curve
PubMed: 38926407
DOI: 10.1038/s41598-024-63411-2 -
Cell Genomics Jun 2024Single-cell RNA sequencing (scRNA-seq) datasets contain true single cells, or singlets, in addition to cells that coalesce during the protocol, or doublets. Identifying...
Single-cell RNA sequencing (scRNA-seq) datasets contain true single cells, or singlets, in addition to cells that coalesce during the protocol, or doublets. Identifying singlets with high fidelity in scRNA-seq is necessary to avoid false negative and false positive discoveries. Although several methodologies have been proposed, they are typically tested on highly heterogeneous datasets and lack a priori knowledge of true singlets. Here, we leveraged datasets with synthetically introduced DNA barcodes for a hitherto unexplored application: to extract ground-truth singlets. We demonstrated the feasibility of our framework, "singletCode," to evaluate existing doublet detection methods across a range of contexts. We also leveraged our ground-truth singlets to train a proof-of-concept machine learning classifier, which outperformed other doublet detection algorithms. Our integrative framework can identify ground-truth singlets and enable robust doublet detection in non-barcoded datasets.
PubMed: 38925122
DOI: 10.1016/j.xgen.2024.100592 -
Microbial Biotechnology Jun 2024Beauveria bassiana is an entomopathognic fungus, which is widely employed in the biological control of pests. Gene disruption is a common method for studying the...
Beauveria bassiana is an entomopathognic fungus, which is widely employed in the biological control of pests. Gene disruption is a common method for studying the functions of genes involved in fungal development or its interactions with hosts. However, generating gene deletion mutants was a time-consuming work. The transcriptional factor OpS3 has been identified as a positive regulator of a red secondary metabolite oosporein in B. bassiana. In this study, we have designed a new screening system by integrating a constitutive OpS3 expression cassette outside one of the homologous arms of target gene. Ectopic transformants predominantly exhibit a red colour with oosporein production, while knockout mutants appear as white colonies due to the loss of the OpS3 expression cassette caused by recombinant events. This screening strategy was used to obtain the deletion mutants of both tenS and NRPS genes. Correct mutants were obtained by screening fewer than 10 mutants with a positive efficiency ranging from 50% to 75%. This system significantly reduces the workload associated with DNA extraction and PCR amplification, thereby enhancing the efficiency of obtaining correct transformants in B. bassiana.
Topics: Beauveria; Gene Knockout Techniques; Animals; Gene Deletion; Fungal Proteins; Insecta; Genetics, Microbial
PubMed: 38923821
DOI: 10.1111/1751-7915.14512 -
The Kaohsiung Journal of Medical... Jun 2024Thyroid dyshormonogenesis (TDH) is responsible for 15%-25% of congenital hypothyroidism (CH) cases. Pathogenetic variants of this common inherited endocrine disorders...
Thyroid dyshormonogenesis (TDH) is responsible for 15%-25% of congenital hypothyroidism (CH) cases. Pathogenetic variants of this common inherited endocrine disorders vary geographically. Unraveling the genetic underpinnings of TDH is essential for genetic counseling and precise therapeutic strategies. This study aims to identify genetic variants associated with TDH in Southern Taiwan using whole exome sequencing (WES). We included CH patients diagnosed through newborn screening at a tertiary medical center from 2011 to 2022. Permanent TDH was determined based on imaging evidence of bilateral thyroid structure and the requirement for continuous medication beyond 3 years of age. Genomic DNA extracted from blood was used for exome library construction, and pathogenic variants were detected using an in-house algorithm. Of the 876 CH patients reviewed, 121 were classified as permanent, with 47 (40%) confirmed as TDH. WES was conducted for 45 patients, and causative variants were identified in 32 patients (71.1%), including DUOX2 (15 cases), TG (8 cases), TSHR (7 cases), TPO (5 cases), and DUOXA2 (1 case). Recurrent variants included DUOX2 c.3329G>A, TSHR c.1349G>A, TG c.1348delT, and TPO c.2268dupT. We identified four novel variants based on genotype, including TSHR c.1135C>T, TSHR c.1349G>C, TG c.2461delA, and TG c.2459T>A. This study underscores the efficacy of WES in providing definitive molecular diagnoses for TDH. Molecular diagnoses are instrumental in genetic counseling, formulating treatment, and developing management strategies. Future research integrating larger population cohorts is vital to further elucidate the genetic landscape of TDH.
PubMed: 38923290
DOI: 10.1002/kjm2.12871 -
Methods and Protocols Jun 2024Timely and accurate detection and characterization of microbial threats is crucial for effective infection and outbreak management. Additionally, in food production,...
Timely and accurate detection and characterization of microbial threats is crucial for effective infection and outbreak management. Additionally, in food production, rapid microbe identification is indispensable for maintaining quality control and hygiene standards. Current methods for typing microbial strains often rely on labor-intensive, time-consuming, and expensive DNA- and sera-serotyping techniques, limiting their applicability in rapid-response scenarios. In this context, the IR Biotyper, utilizing Fourier-transform infrared (FTIR) spectroscopy, offers a novel approach, providing specific spectra for fast strain typing within 3 h. This methodology article serves as a comprehensive resource for researchers and technicians aiming to utilize FTIR spectroscopy for microbial strain typing. It encompasses detailed guidelines on sample preparation, data acquisition, and analysis techniques, ensuring the generation of reliable and reproducible results. We highlight the IR Biotyper's rapid and accurate discrimination capabilities, showcasing its potential for real-time pathogen monitoring and source-tracking to enhance public health and food safety. We propose its integration as an early screening method, followed by more detailed analysis with whole-genome sequencing, to optimize detection accuracy and response efficiency in microbial surveillance systems.
PubMed: 38921827
DOI: 10.3390/mps7030048 -
Pediatric Reports May 2024Leukocytosis in neonates can occur because of infectious, inflammatory, malignant, or physiological processes. Hyperleukocytosis is defined as a total leukocyte count...
Leukocytosis in neonates can occur because of infectious, inflammatory, malignant, or physiological processes. Hyperleukocytosis is defined as a total leukocyte count (TLC) exceeding 100,000 per mm, warranting immediate evaluation. Neonates with hyperleukocytosis are at risk of leukostasis and the associated severe complications, including respiratory distress, myocardial ischemia, hyperuricemia, acute renal failure, infarction, and hemorrhage. Differentiating leukemia and leukemoid reactions in neonates presenting with elevated TLC is challenging but critical. We present a unique case of a preterm male neonate with hyperleukocytosis, initially suspected to have an underlying malignancy. The neonate's clinical course was complicated by respiratory distress syndrome and anemia of prematurity, necessitating neonatal intensive care unit management. Further investigation revealed high human herpesvirus 6 (HHV-6) DNA levels in the whole blood, leading to a chromosomally integrated HHV-6 (ciHHV-6) diagnosis. CiHHV-6 is characterized by HHV-6 DNA integration into the host genome. Accurate diagnosis relies on whole-blood quantitative PCR, distinguishing ciHHV-6 from an active infection. The neonate remained asymptomatic, and antiviral treatment was deemed unnecessary. This case underscores the importance of recognizing ciHHV-6 as a potential cause of hyperleukocytosis in neonates and highlights the value of whole-blood PCR for differentiation. Understanding the spectrum of HHV-6 infection in neonates is vital for appropriate management and prognostication.
PubMed: 38921702
DOI: 10.3390/pediatric16020037 -
Annali Dell'Istituto Superiore Di Sanita 2024The completion of human DNA sequencing in the early 2000s initially generated widespread excitement and hope that it would revolutionize medicine. Over time, however, it...
The completion of human DNA sequencing in the early 2000s initially generated widespread excitement and hope that it would revolutionize medicine. Over time, however, it revealed major limitations due to a lack of understanding of the highly complex genotype-phenotype pathway. Precision medicine has emerged as a response to these biotechnological innovations, tailoring treatments based on an array of new molecular and clinical "omics" data. However, the large volume and heterogeneity of data available today requires the use of dedicated and highly efficient computational analyses. Widely used today are artificial intelligence techniques (such as machine learning) based on artificial neural networks, i.e., a mathematical model of how biological neurons work. Here, we show that artificial neural networks have nothing to do with biology, although their popularity is largely due to their alleged ability to simulate the human brain. Furthermore, we argue that the analysis of large molecular datasets cannot be left to the computational side alone, i.e., to be exclusively data-driven, but on the contrary must meet the challenge of integrating data and expertise, of getting clinicians and data analysts to work together to take into account the absolute and ineradicable uniqueness of each patient's characteristics.
Topics: Humans; Artificial Intelligence; Neural Networks, Computer; Precision Medicine
PubMed: 38920254
DOI: 10.4415/ANN_24_01_03 -
Frontiers in Genetics 2024Fracture healing is a complex process that involves multiple molecular events, and the regulation mechanism is not fully understood. We acquired miRNA and mRNA...
Fracture healing is a complex process that involves multiple molecular events, and the regulation mechanism is not fully understood. We acquired miRNA and mRNA transcriptomes of mouse fractures from the Gene Expression Omnibus database (GSE76197 and GSE192542) and integrated the miRNAs and genes that were differentially expressed in the control and fracture groups to construct regulatory networks. There were 130 differentially expressed miRNAs and 4,819 differentially expressed genes, including 72 upregulated and 58 downregulated miRNAs, along with 2,855 upregulated and 1964 downregulated genes during early fracture healing. Gene ontology analysis revealed that most of the differentially expressed genes were enriched in the extracellular matrix (ECM) structure and the ECM organization. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment suggested cell cycle, DNA replication, and mismatch repair were involved in the progression of fracture healing. Furthermore, we constructed a molecular network of miRNAs and mRNAs with inverse expression patterns to elucidate the molecular basis of miRNA-mRNA regulation in fractures. The regulatory network highlighted the potential targets, which may help to provide a mechanistic basis for therapies to improve fracture patient outcomes.
PubMed: 38919952
DOI: 10.3389/fgene.2024.1408404 -
Biodiversity Data Journal 2024Species of Latreille 1802 are rarely collected endoparasitoids of Chrysopidae larvae (Neuroptera). Previous work on the limits between the European species of this...
BACKGROUND
Species of Latreille 1802 are rarely collected endoparasitoids of Chrysopidae larvae (Neuroptera). Previous work on the limits between the European species of this species-poor genus, based on morphology only, has left some uncertainties. Here, we approach these cases and revisit previous taxonomic decisions using freshly collected and museum material.
NEW INFORMATION
We generated the first large-scale Heloridae DNA barcode dataset, combined these with morphological data in an integrative taxonomic approach, and added information from studying all relevant type material. We found five species, (Panzer, 1798), Haliday, 1857 stat. rev., Förster, 1856, Förster, 1856, and Cameron, 1906, for which we provide an updated identification key. DNA barcode data are added to publicly available DNA barcode reference databases, for all species, except .
PubMed: 38919770
DOI: 10.3897/BDJ.12.e122523 -
BMC Veterinary Research Jun 2024Transgene silencing provides a significant challenge in animal model production via gene engineering using viral vectors or transposons. Selecting an appropriate...
Transgene silencing provides a significant challenge in animal model production via gene engineering using viral vectors or transposons. Selecting an appropriate strategy, contingent upon the species is crucial to circumvent transgene silencing, necessitating long-term observation of in vivo gene expression. This study employed the PiggyBac transposon to create a GFP rat model to address transgene silencing in rats. Surprisingly, transgene silencing occurred while using the CAG promoter, contrary to conventional understanding, whereas the Ef1α promoter prevented silencing. GFP expression remained stable through over five generations, confirming efficacy of the Ef1α promoter for long-term protein expression in rats. Additionally, GFP expression was consistently maintained at the cellular level in various cellular sources produced from the GFP rats, thereby validating the in vitro GFP expression of GFP rats. Whole-genome sequencing identified a stable integration site in Akap1 between exons 1 and 2, mitigating sequence-independent mechanism-mediated transgene silencing. This study established an efficient method for producing transgenic rat models using PiggyBac transposon. Our GFP rats represent the first model to exhibit prolonged expression of foreign genes over five generations, with implications for future research in gene-engineered rat models.
Topics: Animals; DNA Transposable Elements; Green Fluorescent Proteins; Rats, Transgenic; Rats; Gene Transfer Techniques; Transgenes; Male; Gene Silencing; Female; Promoter Regions, Genetic
PubMed: 38918814
DOI: 10.1186/s12917-024-04123-7