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Article ; Online: RCOR1 is targeted by miR-23b-3p to modulate growth, colony formation, migration, and invasion of prostate cancer cells.

Liu, Chenli / Dong, Zhong / Li, Maozhang / Bai, Guangwei / Zhao, Zhixiang

International journal of clinical and experimental pathology

2024 Volume 17, Issue 2, Page(s) 29–38

Abstract: Objectives: Prostate cancer holds the second-highest incidence rate among all male malignancies, with a noticeable scarcity of effective treatment approaches. The REST Corepressor 1 (RCOR1) protein exhibits elevated expression across various tumors, ... ...

Abstract	Objectives: Prostate cancer holds the second-highest incidence rate among all male malignancies, with a noticeable scarcity of effective treatment approaches. The REST Corepressor 1 (RCOR1) protein exhibits elevated expression across various tumors, acting as an oncogene. Nevertheless, its functions and mechanisms in prostate cancer have yet to be documented. While miR-23 demonstrates reduced expression in prostate cancer, the downstream genes it regulates remain unclear. Methods: RT-qPCR and Western blotting assays were utilized to elucidate the mRNA and protein levels of miR-23b-3p and RCOR1. The luciferase reporter assay was employed to unveil the targeting relationship between miR-23b-3p and RCOR1. Additionally, a CCK-8 assay demonstrated cell growth, while colony formation and Transwell assays were performed to observe clone formation, cell migration, and invasion. Results: In this study, we observed substantial mRNA and protein levels of RCOR1 in prostate cancer cells such as DU145, PC3, and LNCap. RCOR1 overexpression enhanced the growth, colony formation, migration, and invasion of prostate cancer cells, whereas genetic silencing of RCOR1 suppressed these processes. Bioinformatics analysis identified miR-23b-3p as a potential regulator of RCOR1, and luciferase assays validated RCOR1 as a downstream target of miR-23b-3p. Increasing miR-23b-3p mimics diminished RCOR1's mRNA and protein levels, while raising miR-23b-3p levels boosted RCOR1's expression. Moreover, the stimulatory impact of RCOR1 on prostate cancer cell development could be countered by elevating miR-23b-3p mimics. Conclusion: In summary, our findings confirm that RCOR1 is indeed under the influence of miR-23, shedding light on the miR-23/RCOR1 pathway's role in prostate cancer development. This offers novel theoretical and experimental support for comprehending the underlying mechanisms of prostate cancer and for targeted therapeutic avenues.
Language	English
Publishing date	2024-02-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2418306-4
ISSN	1936-2625 ; 1936-2625
ISSN (online)	1936-2625
ISSN	1936-2625
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China

Wang, Hong / Zang, Fei / Zhao, Chuanyan / Liu, Chenli

Science of the total environment. 2022 Mar. 01, v. 810

2022

Abstract: Accurate precipitation data are crucial for hydrological, meteorological, and ecological research. However, it is difficult to obtain high-precision and high-resolution spatiotemporal distributions of precipitation in remote mountain regions with complex ...

Abstract	Accurate precipitation data are crucial for hydrological, meteorological, and ecological research. However, it is difficult to obtain high-precision and high-resolution spatiotemporal distributions of precipitation in remote mountain regions with complex topography and sparse rain gauges. In addition, the spatial resolutions of existing satellite precipitation products are too coarse to apply them in the mountain regions with great spatiotemporal heterogeneity. To overcome the disadvantage, downscaling satellite precipitation products has been an effectively method to develop high-resolution precipitation data. In this study, a geographically weighted regression (GWR) model, coupling with topographical and water vapor source variables filtered by stepwise regression analysis (SRA), is applied to downscale the GSMaP-Gauge precipitation products (0.1° × 0.1°) to obtain high-resolution (1 km × 1 km) precipitation from 2000 to 2020 at annual, seasonal, and monthly scales over the Qilian Mountains. Besides, the accuracy of the downscaled precipitation based on all meteorological stations and the stations at high altitude (i.e., over 3000 m) are validated. Furtherly, the spatiotemporal variations of precipitation are analyzed. The results show that: (1) the accuracy after downscaling has been improved comparing with that of the original data. The accuracy of precipitation simulated at high-altitude stations is lower than that at all stations; (2) The trend of precipitation before and after downscaling is consistent in space. The spatial distributions of precipitation at annual, spring, summer, autumn, and months from March to November are decreased from the southeast to the northwest; (3) The spatial variations of precipitation show an increasing trend in most areas (>50%) at different time scales, except for March and September. Along with the time, the annual precipitation shows an increasing trend with a slope of 3.83 over the last 20 years. These findings suggest that the GWR method can be applied effectively to downscale annual, seasonal, and monthly precipitation of GSMaP-Gauge products in the Qilian Mountains.
Keywords	altitude ; autumn ; case studies ; data collection ; hydrology ; models ; rain ; regression analysis ; satellites ; spring ; summer ; water vapor ; China
Language	English
Dates of publication	2022-0301
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.152066
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Hunting field: insights on distribution pattern of bacteria and immune cells in solid tumors.

Li, Yang / Wang, Yuqi / Li, Xuefei / Liu, Chenli

National science review

2021 Volume 8, Issue 5, Page(s) nwab023

Language	English
Publishing date	2021-02-06
Publishing country	China
Document type	Journal Article
ZDB-ID	2745465-4
ISSN	2053-714X ; 2053-714X
ISSN (online)	2053-714X
ISSN	2053-714X
DOI	10.1093/nsr/nwab023
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China.

Wang, Hong / Zang, Fei / Zhao, Chuanyan / Liu, Chenli

The Science of the total environment

2021 Volume 810, Page(s) 152066

Abstract	Accurate precipitation data are crucial for hydrological, meteorological, and ecological research. However, it is difficult to obtain high-precision and high-resolution spatiotemporal distributions of precipitation in remote mountain regions with complex topography and sparse rain gauges. In addition, the spatial resolutions of existing satellite precipitation products are too coarse to apply them in the mountain regions with great spatiotemporal heterogeneity. To overcome the disadvantage, downscaling satellite precipitation products has been an effectively method to develop high-resolution precipitation data. In this study, a geographically weighted regression (GWR) model, coupling with topographical and water vapor source variables filtered by stepwise regression analysis (SRA), is applied to downscale the GSMaP-Gauge precipitation products (0.1° × 0.1°) to obtain high-resolution (1 km × 1 km) precipitation from 2000 to 2020 at annual, seasonal, and monthly scales over the Qilian Mountains. Besides, the accuracy of the downscaled precipitation based on all meteorological stations and the stations at high altitude (i.e., over 3000 m) are validated. Furtherly, the spatiotemporal variations of precipitation are analyzed. The results show that: (1) the accuracy after downscaling has been improved comparing with that of the original data. The accuracy of precipitation simulated at high-altitude stations is lower than that at all stations; (2) The trend of precipitation before and after downscaling is consistent in space. The spatial distributions of precipitation at annual, spring, summer, autumn, and months from March to November are decreased from the southeast to the northwest; (3) The spatial variations of precipitation show an increasing trend in most areas (>50%) at different time scales, except for March and September. Along with the time, the annual precipitation shows an increasing trend with a slope of 3.83 over the last 20 years. These findings suggest that the GWR method can be applied effectively to downscale annual, seasonal, and monthly precipitation of GSMaP-Gauge products in the Qilian Mountains.
MeSH term(s)	China ; Hydrology ; Rain ; Seasons ; Spatial Regression
Language	English
Publishing date	2021-12-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.152066
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 949: Show issues

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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Growing-season vegetation coverage patterns and driving factors in the China-Myanmar Economic Corridor based on Google Earth Engine and geographic detector

Li, Jie / Wang, Jinliang / Zhang, Jun / Liu, Chenli / He, Suling / Liu, Lanfang

Ecological indicators. 2022 Mar., v. 136

2022

Abstract: Although previous studies have shown that the construction of the China-Myanmar Economic Corridor (CMEC) has caused critical deforestation, few studies have monitored the long-term vegetation dynamics in corridor regions. Recent studies have revealed ... ...

Abstract	Although previous studies have shown that the construction of the China-Myanmar Economic Corridor (CMEC) has caused critical deforestation, few studies have monitored the long-term vegetation dynamics in corridor regions. Recent studies have revealed vegetation greening trends at different scales but have failed to further explore whether these trends are due to the restoration of natural vegetation or the large-scale planting of artificial crops. To investigate the vegetation dynamics and influencing factors during the growing season between 2001 and 2020 in the CMEC area, trend analysis, the random forest (RF) classifier at Google Earth Engine platform, and the geographic detector were employed to quantitatively analyze the patterns of distribution and change in vegetation coverage and its driving factors. Note that we distinguished between natural vegetation areas and artificial crop areas using the RF classification algorithm in an attempt to improve the drawback that most previous studies confused the contribution of natural vegetation and artificial vegetation to macro vegetation change. We discovered that (1) the growing-season average fractional vegetation cover (FVC) was 0.7033, which was relatively low in central and southern regions. The FVC increased by 0.21% yr⁻¹ from 2001 to 2020, and areas with an increasing trend in FVC were 16.67% more than those with a decreasing trend. (2) Although forests and grasslands were reduced by 0.68%, the cropland that prominently clustered in the central and southern regions contributed 50.37% to an increase in FVC, and the decreasing effects on natural vegetation were offset by the increase in artificial crops. (4) The factors that influence FVC distribution were ranked in descending order: land use/land cover (LULC) > climate > topography > anthropogenic activity; factors that influence FVC change were ranked as: anthropogenic activity > climate > LUCC. Note that the grain yield influence on the FVC distribution increased 0.31% yr ⁻¹, which was also the most important factor driving FVC change, indicating that agricultural activities increasingly facilitated vegetation greening.
Keywords	Internet ; algorithms ; anthropogenic activities ; climate ; cropland ; deforestation ; fractional vegetation cover ; grain yield ; growing season ; land cover ; land use ; topography
Language	English
Dates of publication	2022-03
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2022.108620
Database	NAL-Catalogue (AGRICOLA)

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Z 7436: Show issues

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Article: Global trends and characteristics of ecological security research in the early 21st century: A literature review and bibliometric analysis

Liu, Chenli / Li, Wenlong / Xu, Jing / Zhou, Huakun / Li, Changhui / Wang, Wenying

Ecological indicators. 2022 Apr., v. 137

2022

Abstract: With the worsening of global and local environmental problems, ecological security has a vital role to play in sustainable development, and has become a worldwide topic of concern in the 21st century. This study used bibliometric analysis to ... ...

Abstract	With the worsening of global and local environmental problems, ecological security has a vital role to play in sustainable development, and has become a worldwide topic of concern in the 21st century. This study used bibliometric analysis to comprehensively review the progress of global research in ecological security from 2000 to 2020 to provide an overview for future directions. We analyzed 761 publications related to ecological security from this period, covering 34 countries, 370 journals, 631 institutions, 585 funding agencies, and 2680 authors. The results showed that the majority of publications (71.75%) appeared from 2014 to 2020, with research conducted mostly in China, followed by the USA and Russia. The top 10 active institutions were all Chinese; the Chinese Academy of Sciences was the most productive institution, and also had the highest number of citations. China was at the center of the international cooperation network, with the highest collaboration with the USA, Australia, and Canada. Funding from the National Natural Science Foundation of China (NSFC) has supported the highest number of publications. The top two productive journals in this area were Sustainability and Ecological Indicators. Keyword co-occurrence and frequency analysis showed that “ecological security patterns,” “ecosystem services,” “ecological security assessment,” “sustainable development,” and “land use change” were the main topics, whereas “GIS,” “PSR model,” “ecological footprint,” “remote sensing,” “MCR model,” and “DPSIR model” were the most commonly used research technologies and models. Our findings showed that the focal topics have switched from ecological security assessment to ecological security patterns. We believe that these results would contribute to practitioners’ and researchers’ better understanding of worldwide ecological security research and facilitate future investigations.
Keywords	Russia ; bibliometric analysis ; ecological footprint ; ecosystems ; international cooperation ; land use change ; models ; sustainable development ; Australia ; Canada
Language	English
Dates of publication	2022-04
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2022.108734
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The spatial organization of microbial communities during range expansion.

Liu, Weirong / Tokuyasu, Taku A / Fu, Xiongfei / Liu, Chenli

Current opinion in microbiology

2021 Volume 63, Page(s) 109–116

Abstract: Microbes in nature often live in dense and diverse communities exhibiting a variety of spatial structures. Microbial range expansion is a universal ecological process that enables populations to form spatial patterns. It can be driven by both passive and ...

Abstract	Microbes in nature often live in dense and diverse communities exhibiting a variety of spatial structures. Microbial range expansion is a universal ecological process that enables populations to form spatial patterns. It can be driven by both passive and active processes, for example, mechanical forces from cell growth and bacterial motility. In this review, we provide a taste of recent creative and sophisticated efforts being made to address basic questions in spatial ecology and pattern formation during range expansion. We especially highlight the role of motility to shape community structures, and discuss the research challenges and future directions.
MeSH term(s)	Bacteria/genetics ; Microbiota
Language	English
Publishing date	2021-07-27
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	1418474-6
ISSN	1879-0364 ; 1369-5274
ISSN (online)	1879-0364
ISSN	1369-5274
DOI	10.1016/j.mib.2021.07.005
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 5514: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MG 51: Show issues

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Article: The Quantification of Bacterial Cell Size: Discrepancies Arise from Varied Quantification Methods.

Cao, Qian'andong / Huang, Wenqi / Zhang, Zheng / Chu, Pan / Wei, Ting / Zheng, Hai / Liu, Chenli

Life (Basel, Switzerland)

2023 Volume 13, Issue 6

Abstract: The robust regulation of the cell cycle is critical for the survival and proliferation of bacteria. To gain a comprehensive understanding of the mechanisms regulating the bacterial cell cycle, it is essential to accurately quantify cell-cycle-related ... ...

Abstract	The robust regulation of the cell cycle is critical for the survival and proliferation of bacteria. To gain a comprehensive understanding of the mechanisms regulating the bacterial cell cycle, it is essential to accurately quantify cell-cycle-related parameters and to uncover quantitative relationships. In this paper, we demonstrate that the quantification of cell size parameters using microscopic images can be influenced by software and by the parameter settings used. Remarkably, even if the consistent use of a particular software and specific parameter settings is maintained throughout a study, the type of software and the parameter settings can significantly impact the validation of quantitative relationships, such as the constant-initiation-mass hypothesis. Given these inherent characteristics of microscopic image-based quantification methods, it is recommended that conclusions be cross-validated using independent methods, especially when the conclusions are associated with cell size parameters that were obtained under different conditions. To this end, we presented a flexible workflow for simultaneously quantifying multiple bacterial cell-cycle-related parameters using microscope-independent methods.
Language	English
Publishing date	2023-05-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662250-6
ISSN	2075-1729
ISSN	2075-1729
DOI	10.3390/life13061246
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Does the Nucleoid Determine Cell Dimensions in

Zaritsky, Arieh / Vollmer, Waldemar / Männik, Jaan / Liu, Chenli

Frontiers in microbiology

2019 Volume 10, Page(s) 1717

Abstract: Bacillary, Gram-negative bacteria grow by elongation with no discernible change in width, but during faster growth in richer media the cells are also wider. The mechanism regulating the change in cell ... ...

Abstract	Bacillary, Gram-negative bacteria grow by elongation with no discernible change in width, but during faster growth in richer media the cells are also wider. The mechanism regulating the change in cell width
Language	English
Publishing date	2019-08-06
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587354-4
ISSN	1664-302X
ISSN	1664-302X
DOI	10.3389/fmicb.2019.01717
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Impact of Industrial Pollution of Cadmium on Traditional Crop Planting Areas and Land Management: A Case Study in Northwest China

Song, Yu / Li, Wenlong / Xue, Yating / Zhou, Huakun / Wang, Wenying / Liu, Chenli

Land. 2021 Dec. 10, v. 10, no. 12

2021

Abstract: Cadmium in soils not only reduces crop yield and quality but also threatens the safety of human health and wildlife due to bioaccumulation. Baiyin City, a typical industrial region located in northwest China, was evaluated to examine the spatial ... ...

Abstract	Cadmium in soils not only reduces crop yield and quality but also threatens the safety of human health and wildlife due to bioaccumulation. Baiyin City, a typical industrial region located in northwest China, was evaluated to examine the spatial distribution of cadmium. We simulated soil cadmium concentrations in the laboratory, based on levels found at local sampling sites, to examine how both Medicago sativa and Zea mays plants accumulate cadmium. The experimental results revealed that cadmium in all soil samples exceeded China’s national standard levels for general farmland; in addition, cadmium accumulation in all tissues of M. sativa and Z. mays exceeded the national fodder standards. Therefore, M. sativa and Z. mays from the study area should not be used for fodder. However, about 36% of the planting area of M. sativa and Z. mays can be used for phytoextraction because of cadmium accumulation. For soil pollution management, we suggest dividing the study area into three different regions, including a non-planting region, a phytoremediation region, and a planting region. Our soil management model can effectively help local people to avoid food safety risks and to realize sustainable development of soil utilization in contaminated areas.
Keywords	Medicago sativa ; Zea mays ; agricultural land ; cadmium ; case studies ; crop yield ; food safety ; forage ; human health ; land management ; models ; phytoaccumulation ; planting ; soil ; soil management ; soil pollution ; sustainable development ; wildlife ; China
Language	English
Dates of publication	2021-1210
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2682955-1
ISSN	2073-445X
ISSN	2073-445X
DOI	10.3390/land10121364
Database	NAL-Catalogue (AGRICOLA)

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