Classification of Leukemia and Leukemoid Using VGG-16 Convolutional Neural Network Architecture

Leukemoid reaction like leukemia indicates noticeable increased count of WBCs (White Blood Cells) but the cause of it is due to severe inflammation or infections in other body regions. In automatic diagnosis in classifying leukemia and leukemoid reactions, ALL IDB2 (Acute Lymphoblastic Leukemia-Image Data Base) dataset has been used which comprises 110 training images of blast cells and healthy cells. This paper aimed at an automatic process to distinguish leukemia and leukemoid reactions from blood smear images using Machine Learning. Initially, automatic detection and counting of WBC is done to identify leukocytosis and then an automatic detection of WBC blasts is performed to support classification of leukemia and leukemoid reactions. Leukocytosis is commonly observed both in leukemia and leukemoid hence physicians may have chance of wrong diagnosis of malignant leukemia for the patients with leukemoid reactions. BCCD (blood cell count detection) Dataset has been used which has 364 blood smear images of which 349 are of single WBC type. The Image segmentation algorithm of Hue Saturation Value color based on watershed has been applied. VGG16 (Visual Geometric Group) CNN (Convolution Neural Network) architecture based deep learning technique is being incorporated for classification and counting WBC type from segmented images. The VGG16 architecture based CNN used for classification and segmented images obtained from first part were tested to identify WBC blasts.     

Resilient sensor authentication in SCADA by integrating physical unclonable function and blockchain

Industrial Control Systems and Supervisory Control and Data Acquisition (ICS/SCADA) systems are profound backbones of the national critical infrastructures and are essential to the sustainability of society since they help monitoring and controlling the cyber-enable services, such as energy, transportation, healthcare, etc. Modern SCADA systems continue to use the legacy communication protocols that lack adequate security mechanisms to provide trusted device authentication and ensure data flow integrity. Furthermore, advent of state-of-the-art network-capable sensor technology exposes many unique vulnerabilities to the adversaries. Thus, integrity of the data originated from field sensors along with their identity must be managed carefully in order to enhance reliability of ICS/SCADA ecosystems. In this paper, we present a blockchain-based SRAM PUF Authentication and Integrity (BloSPAI) protocol that aims to ensure a continuous authentication of field sensors and provide a robust data flow integrity process by leveraging distributed ledger and hardware security primitives. The prototype of the protocol has been implemented in a sensor-integrated Raspberry PI testbed that is interfaced with a permissioned blockchain network. We discuss the performance and overhead aspects of the proposed BloSPAI protocol and compare with state-of-art cybersecurity solutions. Through experimental evaluation demonstrates the relationship between the size of the blockchain network impacts the throughput in terms of time to commit transactions and overall systems setup time.

     

High diversity in Delta variant across countries revealed by genome‐wide analysis of SARS‐CoV‐2 beyond the Spike protein

The highly contagious Delta variant of SARS‐CoV‐2 has become a prevalent strain globally and poses a public health challenge around the world. While there has been extensive focus on understanding the amino acid mutations in the Delta variant’s Spike protein, the mutational landscape of the rest of the SARS‐CoV‐2 proteome (25 proteins) remains poorly understood. To this end, we performed a systematic analysis of mutations in all the SARS‐CoV‐2 proteins from nearly 2 million SARS‐CoV‐2 genomes from 176 countries/territories. Six highly prevalent missense mutations in the viral life cycle‐associated Membrane (I82T), Nucleocapsid (R203M, D377Y), NS3 (S26L), and NS7a (V82A, T120I) proteins are almost exclusive to the Delta variant compared to other variants of concern (mean prevalence across genomes: Delta = 99.74%, Alpha = 0.06%, Beta = 0.09%, and Gamma = 0.22%). Furthermore, we find that the Delta variant harbors a more diverse repertoire of mutations across countries compared to the previously dominant Alpha variant. Overall, our study underscores the high diversity of the Delta variant between countries and identifies a list of amino acid mutations in the Delta variant’s proteome for probing the mechanistic basis of pathogenic features such as high viral loads, high transmissibility, and reduced susceptibility against neutralization by vaccines.     

Assembly and ligand binding properties of the water-soluble extracellular domains of the glutamate receptor 1 subunit

High resolution structural studies of models of glutamate receptors (GluRs) have been limited to monomeric models of the ligand-binding site. To obtain oligomeric models of glutamate receptors that can reveal more complete structural information, we examined the assembly and ligand binding properties of two truncated versions of the GluR1 subunit. The first version, GluR1-WS, consisted of only the N-terminal extracellular segment (Ala(1)-Glu(520)) bridged by a synthetic linker to the second extracellular domain (Asn(615)-Gly(790)). The second version, GluR1-M1, consisted of the first N-terminal extracellular domain (Ala(1)-Glu(520)) bridged by a synthetic linker to a second segment containing the second extracellular domain, the third transmembrane domain, and the intracellular C-terminal domain (Asn(615)-Leu(889)). When expressed in Xenopus oocytes, GluR-WS was secreted and water-soluble; GluR1-M1 was displayed on the surface of oocytes. GluR1-WS exhibited a velocity sedimentation profile that was consistent with assembly of homooligomers and bound the glutamate receptor agonist alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid with high affinity. These findings show that the extracellular domains of GluR1 that are sufficient for ligand binding apparently are sufficient for subunit assembly and might be a suitable target for structural studies of a water-soluble GluR1 oligomer.     

X-ray photoelectron spectroscopy and infrared spectroscopy study of maleimide-activated supports for immobilization of oligodeoxyribonucleotides

Surface-tethered nucleic acids are widely applied in solid-phase assays in which complementary strands must be detected against a complex mixture of other sequences. In response to such needs, numerous methods have been developed for immobilizing nucleic acids on solid supports. Often, detailed analysis of associated chemical transformations and of potential side reactions is difficult to obtain. Combined use of planar and high surface area powder supports allows characterization using surface as well as bulk diagnostic techniques. This approach is followed in the present study in which X-ray photoelectron spectroscopy (XPS), transmission infrared spectroscopy (FTIR) and reactivity titrations are used to investigate siliceous supports modified with an aminosilane precursor followed by a maleimide-bearing crosslinker for attachment of nucleic acids. The supports retain maleimide activity for approximately a day when stored under buffer, but deactivation is accelerated under basic conditions or by incomplete conversion of the precursor aminosilane monolayer. Reactions involving the olefinic bond of the imide as well as its carbonyl groups are observed and analyzed. Attachment of sulfhydryl-terminated oligodeoxyribonucleotides is highly site specific, and immobilized strands exhibit excellent hybridization activity. Quantitative use of XPS for label-free determination of DNA coverage based on calibration against reference materials is also described.     

Restriction digestion monitors facilitate plasmid construction and PCR cloning

Plasmid construction by "forced" or "directional" ligation of fragments digested with two different restriction enzymes is highly efficient, except when inhibited digestion of one site favors vector recircularization. Such failures often result because incomplete double digestion is undetected in vector polylinkers or at terminal cloning sites on a PCR fragment. To test cleavage efficiency indirectly, a "monitor" plasmid is added to the digest. In a suitable monitor, the two test sites are separated by enough DNA (approximately 20% of full length) to distinguish the double digest from the failed single digest. To make this applicable to combinations of 32 popular cloning enzymes, we constructed a set of 4 monitors (pDM1, pDM2, pDM3, and pDM4). Each contains three polylinkers separated by stuffer segments of approximately 1 kb. The 32 sites are distributed in the polylinkers such that at least one plasmid in the set is diagnostic for each enzyme pair. The set is designed to be extended to up to 81 sites. A linearized version of the monitor allows for the determination of which of the two enzymes has failed in an incomplete double digest and is also useful when the target DNA is close to the size of the pDM backbone. The plasmids also serve as versatile self-monitoring cloning vectors for any site combination.     

Apoplastic extracts from a transgenic wheat line exhibiting lesion-mimic phenotype have multiple pathogenesis-related proteins that are antifungal

A transgenic wheat line constitutively expressing genes encoding a class IV acidic chitinase and an acidic beta-1,3-glucanase, showed significant delay in spread of Fusarium head blight (scab) disease under greenhouse conditions. In an earlier work, we observed a lesion-mimic phenotype in this transgenic line when homozygous for transgene loci. Apoplastic fluid (AF) extracted from the lesion-mimic plants had pathogenesis-related (PR) proteins belonging to families of beta-1,3-glucanases, chitinases, and thaumatin-like proteins (TLPs). AF had growth inhibitory activity against certain fungal pathogens, including Fusarium graminearum and Gaeumannomyces graminis var. tritici. Through a two-step ion-exchange chromatography protocol, we recovered many PR proteins and a few uncharacterized proteins. Three individual protein bands corresponding to a TLP (molecular mass, 16 kDa) and two beta-1,3-glucanases (molecular mass, 32 kDa each) were purified and identified by tandem mass spectrometry. We measured the in vitro antifungal activity of the three purified enzymes and a barley class II chitinase (purified earlier in our laboratory) in microtiter plate assays with macroconidia or conidiophores of F. graminearum and Pyrenophora tritici-repentis. Mixtures of proteins revealed synergistic or additive inhibitory activity against F. graminearum and P. tritici-repentis hyphae. The concentrations of PR proteins at which these effects were observed are likely to be those reached in AF of cells exhibiting a hypersensitive response. Our results suggest that apoplastic PR proteins are antifungal and their antimicrobial potency is dependent on concentrations and combinations that are effectively reached in plants following microbial attack.