scholarly journals Transcriptome and Metabolome Profiling of a Novel Isolate Chlorella sorokiniana G32 (Chlorophyta) Displaying Enhanced Starch Accumulation at High Growth Rate Under Mixotrophic Condition

2022 ◽  
Vol 12 ◽  
Author(s):  
Qingling Zhu ◽  
Mengmeng Zhang ◽  
Bingying Liu ◽  
Fang Wen ◽  
Zhili Yang ◽  
...  
Keyword(s):  
High Glucose ◽  
Value Added ◽  
Chlorella Sorokiniana ◽  
Growth Patterns ◽  
Rna Seq ◽  
Mixotrophic Growth ◽  
Low Glucose ◽  
High Level ◽  
Glucose Supplementation ◽  
Mixotrophic Conditions

Chlorella sorokiniana is one of the most productive microalgal species with a high potential for the production of biofuels and other high value-added molecules. Many studies have focused on its capability of mixotrophic growth using reduced organic carbon and growth pattern shift between autotrophic and mixotrophic conditions. In this study, we investigated growth patterns of a novel isolate, C. sorokiniana G32, under mixotrophic growth conditions supplemented with a low level (1.25 g L–1) and a high level (5 g L–1) of glucose. Physiological, transcriptomic (i.e., RNA-seq), and metabolomic (i.e., LC-MS/MS) methods were used. We showed that peak growth based on OD680nm absorbance is ∼4-fold higher with high glucose vs. low glucose supplementation. Photosynthetic efficiency (Fv/Fm) in G32 mixotrophic cultures with high or low glucose supplementation remains identical to that of G32 phototrophic growth. We also found that the conversion rate between absorbance-based cell density and cell dry weight with high glucose supplementation was lower than with low glucose. This suggests that more cell biomass is produced under high glucose treatment than with low glucose. The result was confirmed via sucrose density gradient centrifugation. It is likely that accumulation of high concentration of starch may account for this effect. Transcriptomic analysis of G32 cultures (i.e., via RNA-seq) in response to reciprocal change of glucose levels reveals that expression of a subset of differentially expressed genes (DEGs) is correlated with the amount of glucose supplementation. These DEGs are designated as glucose-specific responsive (GSR) genes. GSR genes are enriched for a number of energy metabolic pathways. Together with metabolomics data (i.e., LC-MS/MS), we show that under high-level supplementation, glucose is preferentially oxidized through an oxidative pentose phosphate pathway. Collectively, our results indicate the mechanism of regulation of glucose assimilation and energy metabolism in G32 under mixotrophic conditions with different levels of glucose supplementation revealed by transcriptomic and metabolomic analyses. We propose that C. sorokiniana G32 has the potential for the production of high value-added molecules.

scholarly journals Demand and Defective Growth Patterns: The Role of The Tradable and Non-Tradable Sectors in an Open Economy

2014 ◽  
Vol 104 (5) ◽  
pp. 272-277 ◽  
Author(s):  
Sandile Hlatshwayo ◽  
Michael Spence
Keyword(s):  
Open Economy ◽  
Aggregate Demand ◽  
Value Added ◽  
Growth Patterns ◽  
Structural Elements ◽  
Total Income ◽  
Us Economy ◽  
The Us ◽  
Tradable Sector

This paper examines the underlying structural elements of US growth patterns, pre- and post-crisis. Prior to the recession, the US economy exhibited a defective growth pattern driven by outsized domestic demand. As domestic aggregate demand retreats to more sustainable levels relative to total income, the tradable side of the economy is a catalyst for restoring strong growth. A structural rebalancing is already underway; although it is only a third of the economy, the tradable sector generated more than half of gross gains in value-added since the start of the recovery. However, distributional issues loom on the horizon.

scholarly journals High glucose levels reduce fatty acid oxidation and increase triglyceride accumulation in human placenta

2013 ◽  
Vol 305 (2) ◽  
pp. E205-E212 ◽  
Author(s):  
Francisco Visiedo ◽  
Fernando Bugatto ◽  
Viviana Sánchez ◽  
Irene Cózar-Castellano ◽  
Jose L. Bartha ◽  
...  
Keyword(s):  
Fatty Acid ◽  
High Glucose ◽  
De Novo ◽  
Acid Synthesis ◽  
Acid Oxidation ◽  
Glucose Levels ◽  
Triglyceride Accumulation ◽  
Triglyceride Content ◽  
Low Glucose ◽  
Cpt I

Placentas of women with gestational diabetes mellitus (GDM) exhibit an altered lipid metabolism. The mechanism by which GDM is linked to alterations in placental lipid metabolism remains obscure. We hypothesized that high glucose levels reduce mitochondrial fatty acid oxidation (FAO) and increase triglyceride accumulation in human placenta. To test this hypothesis, we measured FAO, fatty acid esterification, de novo fatty acid synthesis, triglyceride levels, and carnitine palmitoyltransferase activities (CPT) in placental explants of women with GDM or no pregnancy complication. In women with GDM, FAO was reduced by ∼30% without change in mitochondrial content, and triglyceride content was threefold higher than in the control group. Likewise, in placental explants of women with no complications, high glucose levels reduced FAO by ∼20%, and esterification increased linearly with increasing fatty acid concentrations. However, de novo fatty acid synthesis remained unchanged between high and low glucose levels. In addition, high glucose levels increased triglyceride content approximately twofold compared with low glucose levels. Furthermore, etomoxir-mediated inhibition of FAO enhanced esterification capacity by ∼40% and elevated triglyceride content 1.5-fold in placental explants of women, with no complications. Finally, high glucose levels reduced CPT I activity by ∼70% and phosphorylation levels of acetyl-CoA carboxylase by ∼25% in placental explants of women, with no complications. We reveal an unrecognized regulatory mechanism on placental fatty acid metabolism by which high glucose levels reduce mitochondrial FAO through inhibition of CPT I, shifting flux of fatty acids away from oxidation toward the esterification pathway, leading to accumulation of placental triglycerides.

scholarly journals Is there any Effect of Blood Glucose Level on Finger Biting?

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Hira Naeem Qureshi
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
High Glucose ◽  
Normal Glucose ◽  
Normal Glucose Level ◽  
Low Glucose ◽  
Glucose Meter ◽  
High Glucose Level

To interact glucose level of blood with finger biting was the goal of present research. 130 subjects took part in present research, where their glucose level of blood calculated. The normal glucose level in blood is in between 100 to 140mg/dl. The hyperglycemia is known as high glucose level while hypoglycemia is known as low glucose level. The biting of fingers in the mouth with teeth is known as finger biting. It also refer as onychophagia. There were 130 students take part in this research and they measured their sugar level by using glucose meter. Then they correlate the glucose level with finger biting. It was concluded from the present study that glucose level of blood has no impact on finger biting.

scholarly journals Positive feedback between retinoic acid and 2-phospho-L-ascorbic acid trisodium salt during somatic cell reprogramming

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Mengdan Zhang ◽  
Qian Li ◽  
Tingting Yang ◽  
Fei Meng ◽  
Xiaowei Lai ◽  
...  
Keyword(s):  
Ascorbic Acid ◽  
Retinoic Acid ◽  
Positive Feedback ◽  
Dehydroascorbic Acid ◽  
Rna Seq ◽  
Somatic Cell Reprogramming ◽  
Trisodium Salt ◽  
Induced Pluripotent ◽  
High Level ◽  
Mesenchymal Epithelial Transition

AbstractRetinoic acid (RA) and 2-phospho-L-ascorbic acid trisodium salt (AscPNa) promote the reprogramming of mouse embryonic fibroblasts to induced pluripotent stem cells. In the current studies, the lower abilities of RA and AscPNa to promote reprogramming in the presence of each other suggested that they may share downstream pathways at least partially. The hypothesis was further supported by the RNA-seq analysis which demonstrated a high-level overlap between RA-activated and AscPNa activated genes during reprogramming. In addition, RA upregulated Glut1/3, facilitated the membrane transportation of dehydroascorbic acid, the oxidized form of L-ascorbic acid, and subsequently maintained intracellular L-ascorbic acid at higher level and for longer time. On the other hand, AscPNa facilitated the mesenchymal-epithelial transition during reprogramming, downregulated key mesenchymal transcriptional factors like Zeb1 and Twist1, subsequently suppressed the expression of Cyp26a1/b1 which mediates the metabolism of RA, and sustained the intracellular level of RA. Furthermore, the different abilities of RA and AscPNa to induce mesenchymal-epithelial transition, pluripotency, and neuronal differentiation explain their complex contribution to reprogramming when used individually or in combination. Therefore, the current studies identified a positive feedback between RA and AscPNa, or possibility between vitamin A and C, and further explored their contributions to reprogramming.

scholarly journals Internal Marketing Communication of the Global Company in Slovak Republic

2021 ◽  
Vol 129 ◽  
pp. 02011
Author(s):  
Jakub Michulek
Keyword(s):  
Swot Analysis ◽  
Slovak Republic ◽  
Value Added ◽  
Internal Marketing ◽  
Internal Communication ◽  
Added Value ◽  
Marketing Communication ◽  
Career Growth ◽  
High Level ◽  
Global Company

Research background: Currently, it is constantly increasing emphasis on the satisfaction of employees in the company. One way to satisfy them through internal marketing communication. Set them training according to their needs and interests and allow them to grow their career growth. It is also the provision of information on time at the required range and especially to be up to date. As a result, employees can perform their work efficiently and work to achieve the required result that the enterprise expects. It is necessary for this internal communication in the company took place both directions for many companies. It follows that finance inserted into education of employees; it will return to a business in an even greater range. Purpose of the article: The aim of this research is to analyses the use of the tools of the communication mix in the field of internal marketing communication of the selected company. Methods: SWOT analysis, Deduction, Comparison. Findings & Value added: Internal marketing communication in chosen company is on high level, according to analyzing tools and results of SWOT analysis. Added value is finding a level of internal marketing communication for company and creating some points for continuing in building quality internal marketing communication.

Effects of glucose on hypoxic vasoconstriction in isolated ferret lungs

1991 ◽  
Vol 70 (1) ◽  
pp. 439-446 ◽  
Author(s):  
C. M. Wiener ◽  
J. T. Sylvester
Keyword(s):  
High Glucose ◽  
Early Phase ◽  
Continuous Measurement ◽  
Late Phase ◽  
Vascular Response ◽  
Vasomotor Responses ◽  
Hypoxic Vasoconstriction ◽  
Normal Glucose ◽  
Low Glucose ◽  
Pulmonary Arterial

To characterize the effects of glucose on the pulmonary vascular response to anoxia and hypoxia, isolated ferret lungs were ventilated with 28% O2 and 5% CO2 and perfused at constant flow (100 ml.kg-1.min-1). Perfusate glucose concentrations were allowed to fall spontaneously to less than 1 mM (low glucose) or were controlled at 5–6 mM (normal glucose) or 12–17 mM (high glucose). At 60, 120, and 180 min of perfusion, the inspired O2 tension (PIO2) was reduced to 0, 10, or 30 Torr for 30 min, and vasomotor responses were quantified by continuous measurement of pulmonary arterial pressure. At PIO2 of 0 Torr, the response consisted of an early phase of transient intense vasoconstriction and a late phase of sustained slight vasoconstriction. High glucose markedly potentiated the magnitude of late-phase vasoconstriction with each successive anoxic exposure. This effect was not reproduced in normal glucose lungs and was not caused by a change in perfusate osmolarity, an action on blood cells, or an altered ability of pulmonary vascular smooth muscle to contract. At PIO2 of 10 Torr, high glucose not only potentiated late-phase vasoconstriction but also slowed the onset of early-phase vasoconstriction. At PIO2 of 30 Torr, high glucose had no effect on vasomotor responses, which were characterized by a slowly developing sustained vasoconstriction. Our results suggest that the vascular response of isolated ferret lungs to severe hypoxia consisted of separate early and late phases of vasoconstriction. This biphasic response may have resulted from two distinct vasoconstrictor mechanisms or from modulation of a single vasoconstrictor mechanism by a secondary vasodilator influence.(ABSTRACT TRUNCATED AT 250 WORDS)

scholarly journals Using agro-industrial wastes for mixotrophic growth and lipids production by the green microalga Chlorella sorokiniana

2019 ◽  
Vol 51 ◽  
pp. 31-38 ◽  
Author(s):  
Antonio León-Vaz ◽  
Rosa León ◽  
Encarnación Díaz-Santos ◽  
Javier Vigara ◽  
Sara Raposo
Keyword(s):  
Chlorella Sorokiniana ◽  
Industrial Wastes ◽  
Mixotrophic Growth ◽  
Green Microalga ◽  
Lipids Production

scholarly journals scAIDE: clustering of large-scale single-cell RNA-seq data reveals putative and rare cell types

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Kaikun Xie ◽  
Yu Huang ◽  
Feng Zeng ◽  
Zehua Liu ◽  
Ting Chen
Keyword(s):  
Single Cell ◽  
Large Scale ◽  
Developmental Trajectories ◽  
Cell Types ◽  
Random Projection ◽  
Good Representation ◽  
Rna Seq ◽  
Unsupervised Deep Learning ◽  
High Level ◽  
Computational Resources

Abstract Recent advancements in both single-cell RNA-sequencing technology and computational resources facilitate the study of cell types on global populations. Up to millions of cells can now be sequenced in one experiment; thus, accurate and efficient computational methods are needed to provide clustering and post-analysis of assigning putative and rare cell types. Here, we present a novel unsupervised deep learning clustering framework that is robust and highly scalable. To overcome the high level of noise, scAIDE first incorporates an autoencoder-imputation network with a distance-preserved embedding network (AIDE) to learn a good representation of data, and then applies a random projection hashing based k-means algorithm to accommodate the detection of rare cell types. We analyzed a 1.3 million neural cell dataset within 30 min, obtaining 64 clusters which were mapped to 19 putative cell types. In particular, we further identified three different neural stem cell developmental trajectories in these clusters. We also classified two subpopulations of malignant cells in a small glioblastoma dataset using scAIDE. We anticipate that scAIDE would provide a more in-depth understanding of cell development and diseases.

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