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Article ; Online: Gain-of-function mutations in Trim71 linked to congenital hydrocephalus.

Yingying Chen / Xianfa Yang / Naihe Jing

PLoS Biology, Vol 21, Iss 2, p e

2023 Volume 3001993

Abstract: The genetic basis of congenital hydrocephalus is only partially understood. A new study in PLOS Biology reports a potential gain-of-function pathological mechanism of congenital hydrocephalus in mouse embryonic stem cells that involves Wnt-β-catenin ... ...

Abstract	The genetic basis of congenital hydrocephalus is only partially understood. A new study in PLOS Biology reports a potential gain-of-function pathological mechanism of congenital hydrocephalus in mouse embryonic stem cells that involves Wnt-β-catenin signaling pathway regulation.
Keywords	Biology (General) ; QH301-705.5
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Gain-of-function mutations in Trim71 linked to congenital hydrocephalus

Yingying Chen / Xianfa Yang / Naihe Jing

PLoS Biology, Vol 21, Iss

2023 Volume 2

Abstract	The genetic basis of congenital hydrocephalus is only partially understood. A new study in PLOS Biology reports a potential gain-of-function pathological mechanism of congenital hydrocephalus in mouse embryonic stem cells that involves Wnt–β-catenin signaling pathway regulation. Mutations in the RNA-binding domain of Trim71 can cause congenital hydrocephalus (CH). This Primer explores a recent study in PLOS Biology which shows that two known CH-associated Trim71 mutations lead to distinct ectopic RNA binding; these gain-of-function mechanisms influence neurogenesis in vitro and may contribute to CH pathology.
Keywords	Biology (General) ; QH301-705.5
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Porphyrin Functionalized Carbon Quantum Dots for Enhanced Electrochemiluminescence and Sensitive Detection of Cu 2+

Xinying Zhang / Xialing Hou / Decheng Lu / Yingying Chen / Lingyan Feng

Molecules, Vol 28, Iss 1459, p

2023 Volume 1459

Abstract: Porphyrin (TMPyP) functionalized carbon quantum dots (CQDs-TMPyP), a novel and efficient carbon nanocomposite material, were developed as a novel luminescent material, which could be very useful for the sensitive detection of copper ions in the Cu 2+ ... ...

Abstract	Porphyrin (TMPyP) functionalized carbon quantum dots (CQDs-TMPyP), a novel and efficient carbon nanocomposite material, were developed as a novel luminescent material, which could be very useful for the sensitive detection of copper ions in the Cu 2+ quenching luminescence of functionalized carbon quantum dots. Therefore, we constructed a sensitive “signal off” ECL biosensor for the detection of Cu 2+ . This sensor can sensitively respond to copper ions in the range of 10 nM to 10 μM, and the detection limit is 2.78 nM. At the same time, it has good selectivity and stability and a benign response in complex systems. With excellent properties, this proposed ECL biosensor provides an efficient and ultrasensitive method for Cu 2+ detection.
Keywords	carbon quantum dots ; porphyrin ; electrochemiluminescence ; Cu 2+ detection ; Organic chemistry ; QD241-441
Subject code	333
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Impact of Energy Productivity and Eco-Innovation on Sustainable Environment in Emerging Seven (E-7) Countries

Adnan Safi / Yingying Chen / Liya Zheng

Frontiers in Public Health, Vol

Does Institutional Quality Matter?

2022 Volume 10

Abstract: Emerging economies are showing promising growth and economic success, but the growth process has significantly increased carbon emissions in these countries and deteriorated environmental quality. Environmental degradation is an issue of serious concern ... ...

Abstract	Emerging economies are showing promising growth and economic success, but the growth process has significantly increased carbon emissions in these countries and deteriorated environmental quality. Environmental degradation is an issue of serious concern as it is directly linked to human lives and health. Since the creation of the Sustainable Development Goals (SDGs), the Emerging Seven (E-7) countries have struggled to meet the SDG targets, as it's been a challenge for them to lower carbon emissions and improve the quality of the environment. Thus, the present study explores the key factors that significantly affect environmental quality. This study examines the effect of institutional quality, energy productivity, and eco-innovation on consumption-based carbon dioxide (CCO2) emissions for E-7 economies. The cointegration analysis results show a long-run relationship between institutional quality, energy productivity, GDP, eco-innovation exports, imports, and CCO2 emissions. The results obtained using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model show that institutional quality, energy productivity, eco-innovation, and exports adversely affect CCO2 emissions and improve environmental quality in the short and long run. In contrast, imports and GDP are positively linked with CCO2 emissions and contribute to environmental degradation. Policies that target institutional quality, eco-innovation, and energy productivity significantly affect CCO2 emissions and help improve environmental quality.
Keywords	institutional quality ; energy productivity ; trade ; carbon emission ; eco-innovation ; E-7 countries ; Public aspects of medicine ; RA1-1270
Subject code	381
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The therapeutic prospects and challenges of human neural stem cells for the treatment of Alzheimer's Disease

Chunmei Yue / Su Feng / Yingying Chen / Naihe Jing

Cell Regeneration, Vol 11, Iss 1, Pp 1-

2022 Volume 10

Abstract: Abstract Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder associated with aging. Due to its insidious onset, protracted progression, and unclear pathogenesis, it is considered one of the most obscure and intractable brain disorders, ...

Abstract	Abstract Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder associated with aging. Due to its insidious onset, protracted progression, and unclear pathogenesis, it is considered one of the most obscure and intractable brain disorders, and currently, there are no effective therapies for it. Convincing evidence indicates that the irreversible decline of cognitive abilities in patients coincides with the deterioration and degeneration of neurons and synapses in the AD brain. Human neural stem cells (NSCs) hold the potential to functionally replace lost neurons, reinforce impaired synaptic networks, and repair the damaged AD brain. They have therefore received extensive attention as a possible source of donor cells for cellular replacement therapies for AD. Here, we review the progress in NSC-based transplantation studies in animal models of AD and assess the therapeutic advantages and challenges of human NSCs as donor cells. We then formulate a promising transplantation approach for the treatment of human AD, which would help to explore the disease-modifying cellular therapeutic strategy for the treatment of human AD.
Keywords	Brain disorders ; Alzheimer's disease ; Stem cell-based replacement therapy ; Neural subtype-specific transplantation ; Brain region-specific transplantation ; Cognitive ability ; Medicine (General) ; R5-920 ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Regulations of Retinal Inflammation

Yingying Chen / Qinghong Xia / Yue Zeng / Yun Zhang / Meixia Zhang

Frontiers in Cell and Developmental Biology, Vol

Focusing on Müller Glia

2022 Volume 10

Abstract: Retinal inflammation underlies multiple prevalent retinal diseases. While microglia are one of the most studied cell types regarding retinal inflammation, growing evidence shows that Müller glia play critical roles in the regulation of retinal ... ...

Abstract	Retinal inflammation underlies multiple prevalent retinal diseases. While microglia are one of the most studied cell types regarding retinal inflammation, growing evidence shows that Müller glia play critical roles in the regulation of retinal inflammation. Müller glia express various receptors for cytokines and release cytokines to regulate inflammation. Müller glia are part of the blood-retinal barrier and interact with microglia in the inflammatory responses. The unique metabolic features of Müller glia in the retina makes them vital for retinal homeostasis maintenance, regulating retinal inflammation by lipid metabolism, purine metabolism, iron metabolism, trophic factors, and antioxidants. miRNAs in Müller glia regulate inflammatory responses via different mechanisms and potentially regulate retinal regeneration. Novel therapies are explored targeting Müller glia for inflammatory retinal diseases treatment. Here we review new findings regarding the roles of Müller glia in retinal inflammation and discuss the related novel therapies for retinal diseases.
Keywords	retinal inflammation ; Müller glia ; cytokines ; miRNA ; regeneration ; Biology (General) ; QH301-705.5
Subject code	571
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Adverse Mentions, Negative Sentiment, and Emotions in COVID-19 Vaccine Tweets and Their Association with Vaccination Uptake

Jungmi Jun / Ali Zain / Yingying Chen / Sei-Hill Kim

Vaccines, Vol 10, Iss 735, p

Global Comparison of 192 Countries

2022 Volume 735

Abstract: Background : Many countries show low COVID-19 vaccination rates despite high levels of readiness and delivery of vaccines. The public’s misperceptions, hesitancy, and negative emotions toward vaccines are psychological factors discouraging vaccination. ... ...

Abstract	Background : Many countries show low COVID-19 vaccination rates despite high levels of readiness and delivery of vaccines. The public’s misperceptions, hesitancy, and negative emotions toward vaccines are psychological factors discouraging vaccination. At the individual level, studies have revealed negative perceptual/behavioral outcomes of COVID-19 information exposure via social media where misinformation and vaccine fear flood. Objective : This study extends research context to the global level and investigates social media discourse on the COVID-19 vaccine and its association with vaccination rates of 192 countries in the world. Methods : COVID-19 vaccine tweets were compared by country in terms of (1) the number per million Twitter users, (2) mentions of adverse events—death, side-effects, blood clots, (3) negative sentiment (vs. positive), and (4) fear, sadness, or anger emotions (vs. joy). Artificial intelligence (AI) was adopted to classify sentiment and emotions. Such tweets and covariates (COVID-19 morbidity and mortality rates, GDP, population size and density, literacy rate, democracy index, institutional quality, human development index) were tested as predictors of vaccination rates in countries. Results : Over 21.3 million COVID-19 vaccine tweets posted between November 2020 and August 2021 worldwide were included in our analysis. The global average of COVID-19 vaccine tweets mentioning adverse events was 2% for ‘death’, 1.15% for ‘side-effects’, and 0.80% for ‘blood clots’. Negative sentiment appeared 1.90 times more frequently than positive sentiment. Fear, anger, or sadness appeared 0.70 times less frequently than joy. The mention of ‘side-effects’ and fear/sadness/anger emotions appeared as significant predictors of vaccination rates, along with the human development index. Conclusions : Our findings indicate that global efforts to combat misinformation, address negative emotions, and promote positive languages surrounding COVID-19 vaccination on social media may help increase global ...
Keywords	COVID-19 ; infodemic ; vaccine ; adverse events ; side-effect ; sentiment ; Medicine ; R
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Using Stable Sulfur Isotope to Trace Sulfur Oxidation Pathways during the Winter of 2017–2019 in Tianjin, North China

Shiyuan Ding / Yingying Chen / Qinkai Li / Xiao-Dong Li

International Journal of Environmental Research and Public Health, Vol 19, Iss 10966, p

2022 Volume 10966

Abstract: After the implementation of the Coal Replacing Project (CRP) in the northern parts of China in 2017, its effect on PM 2.5 composition is still unclear. In the study, water-soluble ionic components (WSICs) and stable sulfur isotope ratios (δ 34 S) of SO 4 ...

Abstract	After the implementation of the Coal Replacing Project (CRP) in the northern parts of China in 2017, its effect on PM 2.5 composition is still unclear. In the study, water-soluble ionic components (WSICs) and stable sulfur isotope ratios (δ 34 S) of SO 4 2− in PM 2.5 collected during the domestic heating period before and after the implementation of CRP in Tianjin were analyzed. Results showed that the average concentrations of both PM 2.5 and WSICs have dropped dramatically after the CRP, especially for the SO 4 2− (by approximately 57–60%). After the CRP, the range of δ 34 S sulfate was significantly narrowed to 4.1–7.5‰ in January 2018 and 1.4–6.1‰ in January 2019, which suggested that the sulfur source was becoming simple. It was interesting that the δ 34 S sulfate value in the pollution period before the CRP was higher than that in the clean period, whereas it showed the opposite tendency after the CRP, which implied that the contribution of sea salt was high during the pollution period before the CRP. The MIXSIAR model calculated that the contributions of the transition-metal ion (TMI) oxidation and NO 2 oxidation pathways in the three sampling stages were higher than those of the OH radical oxidation and H 2 O 2 /O 3 oxidation pathways, indicating that the formation pathway of sulfate was mainly dominated by heterogeneous oxidation. Before the CRP, the NO 2 oxidation pathway was the dominant sulfate oxidation pathway during a haze episode, and the TMI oxidation pathway dominated the formation of sulfates after the CRP.
Keywords	coal replacing project ; sulfur isotope ; sulfate formation ; oxidation pathways ; Tianjin ; Medicine ; R
Subject code	333
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Development of daily bias-corrected ensemble precipitation estimates over the Upper Indus Basin of the Hindukush-Karakoram-Himalaya

Kashif Jamal / Xin Li / Yingying Chen / Sajjad Haider / Muhammad Rizwan / Shakil Ahmad

Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3517-

2023 Volume 3538

Abstract: Accurate precipitation estimates over space and time are critically important, particularly in data-scarce areas, for effective hydrological modeling and efficient regional water resources management. Gridded precipitation datasets are the preeminent ... ...

Abstract	Accurate precipitation estimates over space and time are critically important, particularly in data-scarce areas, for effective hydrological modeling and efficient regional water resources management. Gridded precipitation datasets are the preeminent alternative in such areas. However, gridded precipitation datasets contain different kinds of uncertainties owing to the retrieval algorithms used in their development. In this study, five precipitation datasets (Tropical Rainfall Measuring Mission (TRMM), Climate Prediction Centre (CPC), APHRODITE, Climate Hazards Group Infra-Red Precipitation with Station data (CHIRPS), and PERSIANN) were evaluated, and an ensemble of daily precipitation datasets from 2001 to 2017 at a resolution of 0.05 degree was created based on three ensemble approaches (Bayesian model ensemble, relative bias-based ensemble, and correlation-based ensemble) over the Upper Indus basin. To improve the accuracy of the ensemble dataset, a linear bias correction technique is applied with respect to gauging precipitation. The accuracy of the bias-corrected ensemble dataset was evaluated using statistical and novelty categorical measures. A reasonable agreement was found between the ensemble and gauge precipitation (Pearson correlation 0.83–0.89 and relative bias 1–8.7 mm/month), while large biases were noted in five precipitation datasets (1.7–53.9 mm/month). The study suggests that utilizing ensemble approaches to gridded precipitation can significantly enhance the accuracy of the estimates compared to relying on a single precipitation dataset. HIGHLIGHTS The study developed bias-corrected precipitation estimates using three ensemble approaches.; The new relative bias-based ensemble approach estimates are slightly better than the existing ensemble approaches used in this study.; A nonlinear precipitation increase/decrease trend is found with altitude.; The direct use of gridded precipitation is not recommended due to the large biases present in each precipitation dataset.;
Keywords	bias correction ; ensemble approaches ; precipitation datasets ; upper indus basin ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
Subject code	333 ; 910
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	IWA Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Development of Marker Recycling Systems for Sequential Genetic Manipulation in Marine-Derived Fungi Spiromastix sp. SCSIO F190 and Aspergillus sp. SCSIO SX7S7

Yingying Chen / Jiafan Yang / Cunlei Cai / Junjie Shi / Yongxiang Song / Junying Ma / Jianhua Ju

Journal of Fungi, Vol 9, Iss 302, p

2023 Volume 302

Abstract: Marine-derived fungi are emerging as prolific workhorses of structurally novel natural products (NPs) with diverse bioactivities. However, the limitation of available selection markers hampers the exploration of cryptic NPs. Recyclable markers are ... ...

Abstract	Marine-derived fungi are emerging as prolific workhorses of structurally novel natural products (NPs) with diverse bioactivities. However, the limitation of available selection markers hampers the exploration of cryptic NPs. Recyclable markers are therefore valuable assets in genetic engineering programs for awaking silent SM clusters. Here, both pyrG and amdS- based recyclable marker cassettes were established and successfully applied in marine-derived fungi Aspergillus sp. SCSIO SX7S7 and Spiromastix sp. SCSIO F190, respectively. Using pyrG recyclable marker, a markerless 7S7-∆ depH strain with a simplified HPLC background was built by inactivating a polyketide synthase (PKS) gene depH and looping out the pyrG recyclable marker after depH deletion. Meanwhile, an amdS recyclable marker system was also developed to help strains that are difficult to use pyrG marker. By employing the amdS marker, a backbone gene spm11 responsible for one major product of Spiromastix sp. SCSIO F190 was inactivated, and the amdS marker was excised after using, generating a relatively clean F190-∆ spm11 strain for further activation of novel NPs. The collection of two different recycle markers will guarantee flexible application in marine-derived fungi with different genetic backgrounds, enabling the exploitation of novel structures in various fungi species with different genome mining strategies.
Keywords	pyrG marker ; amdS marker ; marine-derived fungi ; genome editing ; secondary metabolite ; Biology (General) ; QH301-705.5
Subject code	570
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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