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23 results on '"Lin, Zhenxin"'

2. Spatio-Temporal Evolution of Vegetation Coverage and Eco-Environmental Quality and Their Coupling Relationship: A Case Study of Southwestern Shandong Province, China.

Author

Ma, Dongling, Wang, Qian, Huang, Qingji, Lin, Zhenxin, and Yan, Yingwei

Subjects
NORMALIZED difference vegetation index, INDUSTRIAL clusters, URBAN ecology, SPATIOTEMPORAL processes, STATISTICAL hypothesis testing
Abstract

Propelled by rapid economic growth, the southwestern Shandong urban agglomeration (SSUA) in China has become a crucial industrial hub, but this process has somewhat hindered vegetation growth and environmental quality. Leveraging the functionalities of the Google Earth Engine (GEE) platform, we derived the fractional vegetation coverage (FVC) through the Normalized Difference Vegetation Index (NDVI) and assessed the eco-environmental quality using the Remote Sensing Ecological Index (RSEI). To examine the patterns and shifts in the SSUA, we employed the Theil–Sen median slope estimation, which provided robust estimates of linear trends, the Mann–Kendall trend test to determine the statistical significance of these trends, and the Hurst exponent analysis to evaluate the long-term persistence and predict future changes in the vegetation coverage and eco-environmental quality. Furthermore, to explore the interdependencies between vegetation coverage (VC) and environmental quality, we applied an improved coupling coordination degree model (ICCDM). This model allowed us to assess the co-evolution and synergy between these two factors over the study period, providing comprehensive insights for sustainable urban and ecological planning in the region. The VC and eco-environmental quality improved consistently across most of the SSUA from 2000 to 2020. The dominance of VC had transitioned from being predominantly characterized by relatively high VC to being mainly characterized by high VC. A substantial portion of the SSUA is predicted to experience improvements in its VC and environmental quality moving forward. Furthermore, the coupling coordination relationship between VC and environmental conditions in the southwest of Shandong Province generally exhibited a state of orderly coordinated development. With the passage of time, there was a clear tendency toward expansion in the coupled uncoordinated areas distributed in a network within each regional economic center. Our research unveils the dynamics and spatial-temporal patterns of VC and ecological quality in the southwestern Shandong urban agglomeration (SSUA) and elucidates the coupling and coordination mechanism between these two aspects, which provides theoretical support for understanding the healthy development of vegetation and ecology in urban agglomerations in an industrial context. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Applications of Mass Spectrometric Assays for Analysis of Serum Protein N-glycosylation Associated with Pancreatic Cancer.

Author

Lin, Zhenxin

Subjects
Protein N-glycosylation, Fucosylation, Mass Spectrometry, Pancreatic Cancer, Glycoproteomics
Abstract

Pancreatic cancer has the worst prognosis among all cancers, mainly due to lack of effective diagnostics capable of early-stage detection. There have been many studies on pancreatic cancer biomarkers, among which serum protein markers are of particular interest as a minimally-invasive technique. In this dissertation, multiple mass spectrometric assays have been utilized to characterize protein N-glycosylation at the glycan, glycopeptide, and peptide levels both qualitatively and quantitatively, for identification of serum-based pancreatic cancer biomarkers. The assays incorporated optimization of sample pre-processing, liquid chromatography separation, and analysis by mass spectrometry. State-of-the-art mass spectrometric fragmentation methods including collision-induced dissociation (CID), electron transfer dissociation (ETD) and higher-energy collisional dissociation (HCD) have been utilized to study N-glycosylation of both individual proteins isolated from human serum and depleted human serum. Chapter 2 describes a MALDI-MS/MS based method for analysis of N-glycans which integrates N-glycan extraction, desialylation, permethylation, structure elucidation, and fucosylation degree measurement. The fucosylation degree of human serum haptoglobin is elevated in pancreatic cancer relative to non-cancer conditions, including normal controls, chronic pancreatitis and type II diabetes. Chapter 3 presents a CID/ETD-MS/MS method for detailing the site-specific glycosylation patterns of human serum alpha-2-macroglobulin (A2MG). For targeted analysis of A2MG site-specific core-fucosylation, an endoglycosidase-assisted strategy was utilized. All eight potential N-glycosylations sites were identified with six of them found to be core-fucosylated. Chapter 4 extends the work in Chapter 3 to a quantitative level and investigates the alterations of A2MG core-fucosylation at specific sites in pancreatic cancer using a label-free method. Core-fucosylation ratios at sites N396, N410 and N1424 were found to decrease in pancreatic cancer relative to normal controls. Chapter 5 describes total core-fucosylation profiling of human serum, where the core-fucosylated glycopeptide enrichment and mass spectrometric methods were optimized, leading to identification of 135 core-fucosylation sites in serum. The quantitative aspect of this assay used an isobaric labeling strategy, which may prove potentially useful for future high-throughput serum pancreatic cancer biomarker screening. The results of this thesis provide insight into the potential of protein fucosylation alterations as pancreatic cancer biomarkers, and relevant strategies will be useful in other clinical applications.

Published
2013

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