Nano-modified screen-printed electrode-based electrochemical immunosensors for oral cancer biomarker detection in undiluted human serum and saliva samples.

This proposed work reports the development of in-house made conductive ink-based screen-printed electrodes (SPEs) for label-free detection of oral cancer biomarkers. Carbon ink synthesis includes graphite powder, gum arabic, and water. The selectivity test of the fabricated SPE involves immobilizing antibodies specific to biomarkers and challenges with redox-active interference, other serum molecules, and non-target biomarkers. Three different biomarkers, cytokeratin-19 fragment (CYFRA 21-1), interleukin 8 (IL-8), and tumor protein p53 (TP-53), act as target entities for the detection of oral cancer in patients' samples (serum, N = 28, and saliva, N = 16) at an early stage. The standard technique enzyme-linked immunosorbent assay (ELISA) was employed to estimate the concentration of the biomarkers in serum and saliva samples. SPEs contain amine (-NH2) functional groups involved in covalent bonding with the carboxyl (-COOH) groups of antibody molecules. These immunosensors exhibited remarkably lower detection limits of 829.5 pg mL-1, 0.543 pg mL-1, and 1.165 pg mL-1, and excellent sensitivity of 0.935 µA mL pg-1 cm-1, 0.039 µA mL pg-1 cm-1, and 0.008 µA mL pg-1 cm-1 for CYFRA 21-1, IL-8, and TP-53 biomarkers, respectively. This sensing platform does not require any functionalization for biomolecule immobilization. Thus, it is a cost-effective, disposable, flexible, miniaturized, and sensitive strip to detect oral cancer biomarkers.

A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning.

Localizing leakages in large water distribution systems is an important and ever-present problem. Due to the complexity originating from water pipeline networks, too few sensors, and noisy measurements, this is a highly challenging problem to solve. In this work, we present a methodology based on generative deep learning and Bayesian inference for leak localization with uncertainty quantification. A generative model, utilizing deep neural networks, serves as a probabilistic surrogate model that replaces the full equations, while at the same time also incorporating the uncertainty inherent in such models. By embedding this surrogate model into a Bayesian inference scheme, leaks are located by combining sensor observations with a model output approximating the true posterior distribution for possible leak locations. We show that our methodology enables producing fast, accurate, and trustworthy results. It showed a convincing performance on three problems with increasing complexity. For a simple test case, the Hanoi network, the average topological distance (ATD) between the predicted and true leak location ranged from 0.3 to 3 with a varying number of sensors and level of measurement noise. For two more complex test cases, the ATD ranged from 0.75 to 4 and from 1.5 to 10, respectively. Furthermore, accuracies upwards of 83%, 72%, and 42% were achieved for the three test cases, respectively. The computation times ranged from 0.1 to 13 s, depending on the size of the neural network employed. This work serves as an example of a digital twin for a sophisticated application of advanced mathematical and deep learning techniques in the area of leak detection.

NGS-based profiling identifies miRNAs and pathways dysregulated in cisplatin-resistant esophageal cancer cells.

Esophageal cancer (EC) incidence remains to be on a global rise supported by an unchanged recurrence and 5-year survival rate owing to the development of chemoresistance. Resistance to cisplatin, one of the majorly used chemotherapeutic drugs in EC, is a major nuisance. This study sheds light on miRNA dysregulation and its inverse relation with dysregulated mRNAs to guide pathways into the manifestation of cisplatin resistance in EC. A cisplatin-resistant version of an EC cell line was established and comparative profiling by NGS with the parental cell line was employed to identify dysregulation in miRNA and mRNA levels. Protein-protein interaction network analysis was done using Cytoscape, followed by Funrich pathway analysis. Furthermore, selective significant miRNAs were validated using qRT-PCR. miRNA-mRNA integrated analysis was carried out using the Ingenuity Pathway Analysis (IPA) tool. Expression of various established resistance markers supported the successful establishment of cisplatin-resistant cell line. Whole-cell small RNA sequencing and transcriptome sequencing identified 261 miRNAs and 1892 genes to be significantly differentially expressed (DE), respectively. Pathway analysis indicated enrichment of EMT signaling, supported by NOTCH, mTOR, TNF receptor, and PI3K-mediated AKT signaling pathways, in chemoresistant cells. Validation by qRT-PCR confirmed upregulation of miR-10a-5p, miR-618, miR-99a-5p, and miR-935 and downregulation of miR-335-3p, miR-205-5p, miR-944, miR-130a-3p, and miR-429 in resistant cells. Pathway analysis that followed IPA analysis indicated that the dysregulation of these miRNAs and their target genes may be instrumental in the development and regulation of chemoresistance via p53 signaling, xenobiotic metabolism, and NRF2-mediated oxidative stress. This study concludes the interplay between miRNA and mRNA as an important aspect and occurrence in guiding the regulation, acquisition, and maintenance of chemoresistance in esophageal cancer in vitro.

Tumour suppressor role of microRNA-335-5p in esophageal squamous cell carcinoma by targeting TTK (Mps1).

BACKGROUND: Esophageal cancer is an aggressive malignancy. miR-335-5p is reported to possess both tumour suppressor and tumour promoter activities in different cancers. OBJECTIVES: We investigated the role of miR-335-5p in esophageal cancer by expression and functional studies. MATERIALS AND METHODS: The role of miR-335-5p in ESCC was evaluated using MTT assay, cell cycle analysis, colony formation assay, scratch assay, matrigel invasion, and migration assay. RESULTS: Our expression studies showed a significantly decreased expression of tissue and circulating miR-335-5p in esophageal cancer. Our results herein report a key tumour suppressive role of miR-335-5p in esophageal carcinogenesis by inhibiting proliferation, migration, and invasion in ESCC cells. Using RNA-seq and Insilico analysis we found TTK to be a newly identified direct target and confirmed it by using luciferase assay. CONCLUSION: Overall, our expression and functional analysis results demonstrated herein point towards the potential role of miR-335-5p in esophageal tumorigenesis. Moreover, this is the first report showing TTK as a downstream target of miR-335-5p.

Molecular characterization of two distinct monopartite begomoviruses infecting tomato in India.

BACKGROUND: Tomato leaf curl viruses, which are the members of the genus Begomovirus, have emerged as devastating pathogens worldwide causing huge economic losses and threatening production of crops like cassava, cotton, grain legumes and vegetables. Even though the ToLCV isolates from Northern India have been shown to possess bipartite genome (designated as DNA A and DNA B), those from Australia, Taiwan and Southern India have a single genomic component (DNA A). We describe here the genetic diversity of two isolates of monopartite Tomato leaf curl virus infecting tomato in two extreme regions (North and South) of Indian subcontinent. RESULTS: The rolling circle amplification (RCA) products obtained from symptomatic samples were digested, cloned and sequenced. The complete DNA sequence of two Tomato leaf curl virus isolates identified as ToLCV-CTM (India, New Delhi, 2005) and ToLCVK3/K5 (India, Kerala, 2008) are reported here. These isolates had the characteristic features of Begomovirus genome organization with six conserved open reading frames (ORFs). The ToLCV-K3 and ToLCV-K5 isolates may be the strains of the same virus since they show sequence homology of 97% over their entire genome. This, according to the guidelines established by the ICTV Geminiviridae Study-Group is higher than threshold (92%) for delineation of different viral variants and hence single, average value has been assigned for all their analyses presented here. The ToLCV-CTM and ToLCV-K3/K5 viruses were found to be monopartite, as neither DNA-B component nor betasatellite associated with begomovirus species, were detected. The complete nucleotide sequence of DNA-A genome of CTM exhibited highest sequence homology (88%) to Croton yellow vein mosaic virus (AJ507777), and of isolates K3/K5 (88.5%) to Tomato leaf curl Pakistan virus (DQ116884). This is less than the threshold value for demarcation of species in the genus Begomovirus. CONCLUSION: K3/K5 and CTM are considered to be novel isolates of Tomato leaf curl virus. Sequence analyses and phylogenetic study indicate that these two ToLCV isolates might have evolved by recombination between viruses related to two or more viral ancestors. The existence of different ToLCV isolates having high genome diversity in India poses a threat to the tomato production in the Asian continent.

A geminiviral amplicon (VA) derived from Tomato leaf curl virus (ToLCV) can replicate in a wide variety of plant species and also acts as a VIGS vector.

BACKGROUND: The Tomato leaf curl virus (ToLCV) belongs to the genus begomoviridae of the family Geminiviridae. The 2.7 kb DNA genome of the virus encodes all the information required for viral DNA replication, transcription and transmission across the plant cells. However, all of the genome sequences are not required for viral DNA replication. We attempted to reveal the minimal essential region required for DNA replication and stable maintenance. The phenomenon of Virus Induced Gene Silencing (VIGS) has recently been observed with several geminiviruses. We investigated whether the minimal replicating region was also capable of producing siRNAs in planta and a VIGS vector could be constructed using the same minimal sequences. RESULTS: We have constructed vectors containing various truncated portions of the Tomato leaf curl virus (ToLCV) genome and established that a segment spanning from common region (CR) to AC3 (ORF coding for a replication enhancer) was the minimal portion which could efficiently replicate in a variety of both monocot and dicot plants. A viral amplicon (VA) vector was constructed using this region that produced siRNAs from various sites of the vector, in a temporal manner in plants, and hence can be used as a VIGS vector. The tomato endogene PCNA was silenced using this vector. Introduction of a mutation in the ORF AC2 (a silencing suppressor) increased the silencing efficiency of the newly constructed vector several folds. CONCLUSION: Our study reveals that the vector is capable of replicating in diverse plant species and is highly efficient in silencing endogenes like PCNA of the host plant, thus acting as a VIGS vector. We observed that the geminiviral ORF AC2 functioned as a silencing suppressor and a null mutation in this ORF increased the efficiency of silencing several fold. This is the first report of construction of improved VIGS vector by mutation of the resident silencing suppressor gene. The present study opens up the possibility of using such VIGS vectors in silencing the host genes in a broad range of plant hosts.