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Purification of Cyanide-Degrading Nitrilase from Pseudomonas Fluorescens NCIMB 11764.
Cyanide is a well known toxicant that arises in the environment from both biological and industrial sources. Bacteria have evolved novel coping mechanisms for cyanide and function as principal agents in the biosphere for cyanide recycling. Some bacteria exhibit the unusual ability of growing on cyanide as the sole nitrogen source. One such organism is Pseudomonas fluorescens NCIMB 11764 (Pf11764) which employs a novel oxidative mechanism for detoxifying and assimilating cyanide. A unique complex of enzymes referred to as cyanide oxygenase (CNO) is responsible for this ability converting cyanide to ammonia which is then assimilated. Because one component of the four member CNO complex was previously shown to act on cyanide independent of the other members, its characterization was sought as a means of gaining a better understanding of the overall catalytic mechanism of the complex. Preliminary studies suggested that the enzyme belonged to a subset of nitrilase enzymes known as cyanide dihydratases (CynD), however, a cynD-like gene in Pf11764 could not be detected by PCR. Instead, a separate nitrilase (Nit) linked to cyanide metabolism was detected. The corresponding nit gene was shown to be one of a conserved set of nit genes traced to a unique cluster in bacteria known as Nit1C. To determine whether the previously described CynD enzyme was instead Nit, efforts were undertaken to isolate the enzyme. This was pursued by cloning and expressing the recombinant enzyme and by attempting to isolate the native enzyme. This thesis is concerned with the latter activity and describes the purification of a Nit-like cyanide-degrading nitrilase (NitCC) from Pf11764 to ~95% homogeneity. Purification was greatly facilitated by the discovery that fumaronitrile, as opposed to cyanide, was the preferred substrate for the enzyme (20 versus 1 U/mg protein, respectively). While cyanide was less effective as a substrate, the specificity for cyanide far outweighed that (10,000 fold) of the recombinant enzyme (NitPG) implying that the native NitCC protein purified in this work is different from that of the cloned recombinant. Further evidence of this was provided by molecular studies indicating that the two proteins differ in mass (34.5 and 38 kDa, respectively) and amino acid sequence. In summary, two different Nit enzymes are encoded by Pf11764. While the two share greater than 50% amino acid sequence identity, the results suggest that the native NitCC enzyme purified in this work functions better as a cyanide-degrading nitrilase and is one of four enzyme components comprising CNO required for Pf11764 cyanide assimilation
Morrey spaces and classification of global solutions for a supercritical semilinear heat equation in
We prove the boundedness of global classical solutions for the semilinear
heat equation in the whole space , with and supercritical power . This is proved {\rmb without any
radial symmetry or sign assumptions}, unlike in all the previously known
results for the Cauchy problem, and under spatial decay assumptions on the
initial data that are essentially optimal in view of the known
counter-examples. Moreover, we show that any global classical solution has to
decay in time faster than , which is also optimal and in contrast
with the subcritical case.
The proof relies on nontrivial modifications of techniques developed by Chou,
Du and Zheng [Calc. Var. PDE 2007] and by Blatt and Struwe [IMRN, 2015] for the
case of convex bounded domains. They are based on weighted energy estimates of
Giga-Kohn type, combined with an analysis of the equation in a suitable Morrey
space. We in particular simplify the approach of Blatt and Struwe by
establishing and using a result on global existence and decay for small initial
data in the critical Morrey space , rather than
\eps-regularity in a parabolic Morrey space. This method actually works for
any convex, bounded or unbounded, smooth domain, but at the same time captures
some of the specific behaviors associated with the case of the whole space
.
As a consequence we also prove that the set of initial data producing global
solutions is open in suitable topologies, and we show that the so-called
"borderline" global weak solutions blow up in finite time and then become
classical again and decay as . All these results put into light the
key role played by the Morrey space in the understanding of the
structure of the set of global solutions for .Comment: 29 page
Succinate dehydrogenase (SDH)-deficient renal carcinoma:a morphologically distinct entity: a clinicopathologic series of 36 tumors from 27 patients
Succinate dehydrogenase (SDH)-deficient renal carcinoma has been accepted as a provisional entity in the 2013 International Society of Urological Pathology Vancouver Classification. To further define its morphologic and clinical features, we studied a multi-institutional cohort of 36 SDH-deficient renal carcinomas from 27 patients, including 21 previously unreported cases. We estimate that 0.05% to 0.2% of all renal carcinomas are SDH deficient. Mean patient age at presentation was 37 years (range, 14 to 76 y), with a slight male predominance (M:F=1.7:1). Bilateral tumors were observed in 26% of patients. Thirty-four (94%) tumors demonstrated the previously reported morphology at least focally, which included: solid or focally cystic growth, uniform cytology with eosinophilic flocculent cytoplasm, intracytoplasmic vacuolations and inclusions, and round to oval low-grade nuclei. All 17 patients who underwent genetic testing for mutation in the SDH subunits demonstrated germline mutations (16 in SDHB and 1 in SDHC). Nine of 27 (33%) patients developed metastatic disease, 2 of them after prolonged follow-up (5.5 and 30 y). Seven of 10 patients (70%) with high-grade nuclei metastasized as did all 4 patients with coagulative necrosis. Two of 17 (12%) patients with low-grade nuclei metastasized, and both had unbiopsied contralateral tumors, which may have been the origin of the metastatic disease. In conclusion, SDH-deficient renal carcinoma is a rare and unique type of renal carcinoma, exhibiting stereotypical morphologic features in the great majority of cases and showing a strong relationship with SDH germline mutation. Although this tumor may undergo dedifferentiation and metastasize, sometimes after a prolonged delay, metastatic disease is rare in the absence of high-grade nuclear atypia or coagulative necrosis
Ameliorated chest drain wound closure in patients undergoing uniportal thoracoscopic pulmonary resection
BackgroundAlthough uniportal video-assisted thoracoscopic surgery (VATS) has been performed for a wide array of thoracic diseases, unsightliness and poor wound healing often occur, particularly when a chest drain is placed postoperatively. Different chest drain wound closure (CWC) methods have been introduced with the benefits of cosmesis and patient satisfaction. We aimed to describe our improved CWC technique in this setting and assess its efficacy.MethodsA total of consecutive 334 patients undergoing uniportal VATS pulmonary resection with single chest drain placement were investigated from 2016 to 2021. The techniques for CWC were classified into the conventional method (35 patients, group A), continuous suture with removal-free stitches (122 patients, group B), and continuous suture with removal-free barbed suture plus topical skin adhesives (177 patients, group C). Perioperative data and complications related to CWC were analyzed.ResultsGroup C had a significantly shorter operative time, postoperative hospital stay, and chest tube days than groups A and B (all p < 0.01). In terms of chest tube-related complications, there were no statistically significant differences in post-removal pneumothorax, subcutaneous emphysema, incisional effusion leakage, wound dehiscence, or infection. Overall, significant differences in scar scale scores were observed between the groups, where the ameliorated group C was superior to the conventional group A (p < 0.01).ConclusionThe improved CWC technique using continuous sutures with removal-free barbed sutures and topical skin adhesives is simple, safe, and effective. This may be a favorable CWC strategy when performing uniportal VATS, with enhanced patient satisfaction
Nanoscale III-V Semiconductor Photodetectors for High-Speed Optical Communications
Nanophotonics involves the study of the behavior of light on nanometer scale. Modern nanoscale semiconductor photodetectors are important building blocks for high-speed optical communications. In this chapter, we review the state-of-the-art 2.5G, 10G, and 25G avalanche photodiodes (APDs) that are available in commercial applications. We discuss the key device parameters, including avalanche breakdown voltage, dark current, temperature dependence, bandwidth, and sensitivity. We also present reliability analysis on wear-out degradation and optical/electrical overload stress. We discuss the reliability challenges of nanoscale photodetectors associated with device miniaturization for the future. The reliability aspects in terms of high electric field, Joule heating, and geometry inhomogeneity are highlighted
Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results (e.g., boundary segmentation), as well as the classification bias resulting from a less robust feature set, as involved in most conventional CADx algorithms. Specifically, the stacked denoising auto-encoder (SDAE) is exploited on the two CADx applications for the differentiation of breast ultrasound lesions and lung CT nodules. The SDAE architecture is well equipped with the automatic feature exploration mechanism and noise tolerance advantage, and hence may be suitable to deal with the intrinsically noisy property of medical image data from various imaging modalities. To show the outperformance of SDAE-based CADx over the conventional scheme, two latest conventional CADx algorithms are implemented for comparison. 10 times of 10-fold cross-validations are conducted to illustrate the efficacy of the SDAE-based CADx algorithm. The experimental results show the significant performance boost by the SDAE-based CADx algorithm over the two conventional methods, suggesting that deep learning techniques can potentially change the design paradigm of the CADx systems without the need of explicit design and selection of problem-oriented features
Statistical mechanics approach to some problems in conformal geometry
A weak law of large numbers is established for a sequence of systems of N
classical point particles with logarithmic pair potential in \bbR^n, or
\bbS^n, n\in \bbN, which are distributed according to the configurational
microcanonical measure , or rather some regularization thereof,
where H is the configurational Hamiltonian and E the configurational energy.
When with non-extensive energy scaling E=N^2 \vareps, the
particle positions become i.i.d. according to a self-consistent Boltzmann
distribution, respectively a superposition of such distributions. The
self-consistency condition in n dimensions is some nonlinear elliptic PDE of
order n (pseudo-PDE if n is odd) with an exponential nonlinearity. When n=2,
this PDE is known in statistical mechanics as Poisson-Boltzmann equation, with
applications to point vortices, 2D Coulomb and magnetized plasmas and
gravitational systems. It is then also known in conformal differential
geometry, where it is the central equation in Nirenberg's problem of prescribed
Gaussian curvature. For constant Gauss curvature it becomes Liouville's
equation, which also appears in two-dimensional so-called quantum Liouville
gravity. The PDE for n=4 is Paneitz' equation, and while it is not known in
statistical mechanics, it originated from a study of the conformal invariance
of Maxwell's electromagnetism and has made its appearance in some recent model
of four-dimensional quantum gravity. In differential geometry, the Paneitz
equation and its higher order n generalizations have applications in the
conformal geometry of n-manifolds, but no physical applications yet for general
n. Interestingly, though, all the Paneitz equations have an interpretation in
terms of statistical mechanics.Comment: 17 pages. To appear in Physica
Nanoscale Nucleation and Growth of Non-Stoichiometric V-Shaped InP Defect in Heterogeneous InGaAsP/InP Array
Nanotechnology is a broad field that involves the manipulation of atoms and molecules. For nanophotonics, defect formation in nanostructured compound semiconductor system is of great technological interest. In this paper, we study the nanoscale nucleation and growth of V-shaped defect in the heterogeneous InGaAsP/InP array. We have observed that the nucleation originated from the phosphorus-deficient disordering that was likely induced by reactive ion etching. During the nucleation, the phosphorus-deficient In1+xP1-x compound was developed at the trench. The triangular nano-precipitates of In1+xP1-x with sizes of 20-30nm were formed. The ratio of In to P in the non-stoichiometric compound was higher in the upper portion of the V-defect, likely due to antisite defect mechanism. During the defect growth process, the phosphorus-deficient nucleation site expanded to form open, inverted pyramid with sidewalls following the crystallographic planes
Functional variants at the 21q22.3 locus involved in breast cancer progression identified by screening of genome-wide estrogen response elements
Comparative regioselective and sttereosellective metabolism of 7-dhiloroIbe]niz[fl]aini(tIhiiraceiiie amd 7-bromobeinizMaMilIhiiraceinie by momise amid rat liver mcrosomes
Quantitative metabolism of 7-chlorobenz[a]anthracene (7-C1-BA) and 7-bromobenz[a]anthracene (7-Br-BA) by liver microsomes of uninduced mice and rats was studied. Both enzymatic systems metabolize 7-C1-BA preferentially at the C-8 and C-9 aromatic double bond region, -42 and -56% respectively, of the total metabolites. 7-C1-BA and 7-Br-BA were metabolized considerably at C-3 and C-4, C-5 and C-6, C-8 and C-9, and C-10 and C-ll. While 7-C1-BA <rans-3,4-dihydrodiol was formed in a 7-8% yield of the total metabolites in both enzymatic systems, 7-Br-BA trans-3,4-dihdyrodiol was formed 16.0 and 9.9% respectively, from the mouse and rat liver microsomal metabolism. In mutagenicity assays with the Salmonella typhimurium tester strain TA100 in the presence of S9 activation enzymes, both of these fra/w-3,4-dihydrodiols exhibited higher mutagenicity than 7-C1-BA and 7-Br-BA, while the other ftwis-dihydrodiol metabolites were either essentially inactive or weaker than the parent compounds. These results suggest that 7-C1-BA *ra/is-3,4-dihydrodiol and 7-Br-BA *ra/is-3,4-dihydrodiol are the proximate metabolites of 7-CI-BA and 7-Br-BA. Metabolism of 7-CI-BA and 7-Br-BA by mouse liver mkrosomes was also in a stereoselective manner, preferentially giving /nz/u-dihydrodiol metabolites an R, R stereochemistry
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