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Seshagirirao, Kottapalli,Leelavathi, Chaganti,Sasidhar, Vemula Korean Society for Biochemistry and Molecular Biol 2005 Journal of biochemistry and molecular biology Vol.38 No.3
A cross-linked leucaena (Leucaena leucocephala) seed gum (CLLSG) matrix was prepared for the isolation of galactose-specific lectins by affinity chromatography. The matrix was evaluated for affinity with a known galactose-specific lectin from the seeds of snake gourd (Trichosanthes anguina). The matrix preparation was simple and inexpensive when compared to commercial galactose-specific matrices (i.e. about 1.5 US$/100 ml of matrix). The current method is also useful for the demonstration of the affinity chromatography technique in laboratories. Since leucaena seeds are abundant and inexpensive, and the matrix preparation is easy, CLLSG appears to be a promising tool for the separation of galactose-specific lectins.
Elucidating acetogenic H<sub>2</sub> consumption in dark fermentation using flux balance analysis
Lalman, Jerald A.,Chaganti, Subba Rao,Moon, Chungman,Kim, Dong-Hoon Elsevier 2013 Bioresource technology Vol.146 No.-
<P><B>Abstract</B></P> <P>In this study, a flux balance analysis (FBA) was adopted to estimate the activity of acetogenic H<SUB>2</SUB>-consuming reaction. Experimental data at different substrate concentrations of 10, 20, and 30g COD/L showing the lowest, medium, and highest H<SUB>2</SUB> yields, respectively, were used in the FBA to calculate the fluxes. It was interesting to note that the hydrogenase activity based on R12 (2Fd<SUP>+</SUP> +2H<SUP>+</SUP> →2Fd<SUP>2+</SUP> +H<SUB>2</SUB>, ferredoxin (Fd)) flux was most active at 10g COD/L. The flux of R17 (4H<SUB>2</SUB> +2CO<SUB>2</SUB> →CH<SUB>3</SUB>COOH), a mechanism for reutilizing produced H<SUB>2</SUB>, increased in steps of 0.030, 0.119, and 0.467 as the substrate concentration decreased. Contradictory to our general understanding, acetate production found to have a negligible or even negative effect on the final H<SUB>2</SUB> yield in dark fermentation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Revealing the acetogenic H<SUB>2</SUB>-consuming reaction using FBA in dark fermentation. </LI> <LI> Reutilization of produced H<SUB>2</SUB> by acetogenic H<SUB>2</SUB>-consuming reaction was crucial. </LI> <LI> Acetate production has a negligible or even negative effect on the final H<SUB>2</SUB> yield. </LI> </UL> </P>
Linga Venkateswar Rao,Cherukuri Pavana Jyothi,Reddy Shetty Prakasham,Chaganti Subba Rao,Ponnupalli Nageshwara Sarma,Ravella Sreenivas Rao 한국미생물학회 2006 The journal of microbiology Vol.44 No.1
Candida tropicalis was treated with ultraviolet (UV) rays, and the mutants obtained were screened for xylitol production. One of the mutants, the UV1 produced 0.81g of xylitol per gram of xylose. This was further mutated with N-methyl-N’-nitro-N-nitrosoguanidine (MNNG), and the mutants obtained were screened for xylitol production. One of the mutants (CT-OMV5) produced 0.85g/g of xylitol from xylose. Xylitol production improved to 0.87 g/g of xylose with this strain when the production medium was supplemented with urea. The CT-OMV5 mutant strain differs by 12 tests when compared to the wild-type Candida tropicalis strain. The XR activity was higher in mutant CT-OMV5. The distinct difference between the mutant and wild-type strain is the presence of numerous chlamydospores in the mutant. In this investigation, we have demonstrated that mutagenesis was successful in generating a superior xylitol-producing strain, CT-OMV5, and uncovered distinctive biochemical and physiological characteristics of the wild-type and mutant strain, CT-OMV5.
Rao Ravella Sreenivas,Jyothi Cherukuri Pavanna,Prakasham Reddy Shetty,Rao Chaganti Subba,Sarma Ponnupalli Nageshwara,Rao Linga Venkateswar The Microbiological Society of Korea 2006 The journal of microbiology Vol.44 No.1
Candida tropicalis was treated with ultraviolet (UV) rays, and the mutants obtained were screened for xylitol production. One of the mutants, the UV1 produced 0.81g of xylitol per gram of xylose. This was further mutated with N-methyl-N'-nitro-N-nitrosoguanidine (MNNG), and the mutants obtained were screened for xylitol production. One of the mutants (CT-OMV5) produced 0.85g/g of xylitol from xylose. Xylitol production improved to 0.87 g/g of xylose with this strain when the production medium was supplemented with urea. The CT-OMV5 mutant strain differs by 12 tests when compared to the wild-type Candida tropicalis strain. The XR activity was higher in mutant CT-OMV5. The distinct difference between the mutant and wild-type strain is the presence of numerous chlamvdospores in the mutant. In this investigation, we have demonstrated that mutagenesis was successful in generating a superior xylitol-producing strain, CT-OMV5, and uncovered distinctive biochemical and physiological characteristics of the wild-type and mutant strain, CT-OMV5.
Weikert Thomas,Rapaka Saikiran,Grbic Sasa,Re Thomas,Chaganti Shikha,Winkel David J.,Anastasopoulos Constantin,Niemann Tilo,Wiggli Benedikt J.,Bremerich Jens,Twerenbold Raphael,Sommer Gregor,Comaniciu 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.6
Objective: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management. Materials and Methods: All initial chest CTs of patients who tested positive for severe acute respiratory syndrome coronavirus 2 at our emergency department between March 25 and April 25, 2020, were identified (n = 120). Three patient management groups were defined: group 1 (outpatient), group 2 (general ward), and group 3 (intensive care unit [ICU]). Multiple pulmonary and cardiovascular metrics were extracted from the chest CT images using deep learning. Additionally, six laboratory findings indicating inflammation and cellular damage were considered. Differences in CT metrics, laboratory findings, and demographics between the patient management groups were assessed. The potential of these parameters to predict patients’ needs for intensive care (yes/no) was analyzed using logistic regression and receiver operating characteristic curves. Internal and external validity were assessed using 109 independent chest CT scans. Results: While demographic parameters alone (sex and age) were not sufficient to predict ICU management status, both CT metrics alone (including both pulmonary and cardiovascular metrics; area under the curve [AUC] = 0.88; 95% confidence interval [CI] = 0.79–0.97) and laboratory findings alone (C-reactive protein, lactate dehydrogenase, white blood cell count, and albumin; AUC = 0.86; 95% CI = 0.77–0.94) were good classifiers. Excellent performance was achieved by a combination of demographic parameters, CT metrics, and laboratory findings (AUC = 0.91; 95% CI = 0.85–0.98). Application of a model that combined both pulmonary CT metrics and demographic parameters on a dataset from another hospital indicated its external validity (AUC = 0.77; 95% CI = 0.66–0.88). Conclusion: Chest CT of patients with COVID-19 contains valuable information that can be accessed using automated image analysis. These metrics are useful for the prediction of patient management.