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Article ; Online: A novel genomic rearrangement on chr19q13.42 leads to PRPF31-associated retinitis pigmentosa.

Lu, Qingxiang / Yang, Jingye / Xiong, Yu / Zhu, Xiaoyan / Zhang, Miao / Zhou, Ding'an

2024

Language	English
Publishing date	2024-02-27
Publishing country	Australia
Document type	Letter
ZDB-ID	2014008-3
ISSN	1442-9071 ; 1442-6404
ISSN (online)	1442-9071
ISSN	1442-6404
DOI	10.1111/ceo.14370
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Article ; Online: Wintertime fine aerosol particles composition and its evolution in two megacities of southern and northern China.

Cheng, Yiling / Chen, Lu / Wu, Hao / Liu, Jieyao / Ren, Jingye / Zhang, Fang

The Science of the total environment

2024 Volume 914, Page(s) 169778

Abstract: Study on fine aerosols composition can help understand the particles formation and is crucial for improving the accuracy of model simulations. Based on field data measured by a Q-ACSM (Quadrupole-Aerosol Chemical Speciation Monitor), we have ... ...

Abstract	Study on fine aerosols composition can help understand the particles formation and is crucial for improving the accuracy of model simulations. Based on field data measured by a Q-ACSM (Quadrupole-Aerosol Chemical Speciation Monitor), we have comprehensively compared the characteristics, evolution, and potential formation mechanisms of the components in NR-PM
Language	English
Publishing date	2024-01-03
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.2023.169778
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Article ; Online: Lung Sound Recognition Method Based on Wavelet Feature Enhancement and Time-Frequency Synchronous Modeling.

Shi, Lukui / Zhang, Yixuan / Zhang, Jingye

IEEE journal of biomedical and health informatics

2023 Volume 27, Issue 1, Page(s) 308–318

Abstract: Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can aid in diagnosing lung diseases. Most of the existing lung sound ... ...

Abstract	Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can aid in diagnosing lung diseases. Most of the existing lung sound recognition methods ignore the correlation between the time-domain and frequency-domain information of the lung sounds. Additionally, the spectrograms used in these models do not adequately capture the detailed features of the lung sounds. This paper proposes a model based on wavelet feature enhancement and time-frequency synchronous modeling, comprising a dual wavelet analysis module (DWAM), a cubic network, and an attention module. DWAM in the model performed a dual wavelet transformation on the spectrograms to extract the detailed features of the lung sounds. The cubic network comprised multiple cubic gated recursive units to capture the correlation of the time-frequency of the lung sounds using the time-frequency synchronous modeling. The attention module, which includes temporal and channel attention, was used to enhance the time-domain and channel dimension features. In the combined dataset and the International Conference on Biomedical and Health Informatics 2017 dataset, the suggested framework outperforms existing models by more than 1.36% and 4.28%, respectively.
MeSH term(s)	Humans ; Artificial Intelligence ; Algorithms ; Respiratory Sounds ; Wavelet Analysis ; Lung Diseases
Language	English
Publishing date	2023-01-04
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2022.3210996
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Zs.A 5483: Show issues

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Article ; Online: Characterization of thermal infrared medium- and short-term anomaly information from block to fault in mainland China

Jingye Zhang / Ke Sun / Chen Du / Junqing Zhu

Frontiers in Earth Science, Vol

2023 Volume 11

Abstract: The relationship between satellite thermal infrared anomalies and earthquakes or fault activity has been studied for more than 30 years. In this study, five strong earthquakes (the MS6.1 earthquake in Biru, Tibet; the MS7.4 earthquake in Madoi, Qinghai; ... ...

Abstract	The relationship between satellite thermal infrared anomalies and earthquakes or fault activity has been studied for more than 30 years. In this study, five strong earthquakes (the MS6.1 earthquake in Biru, Tibet; the MS7.4 earthquake in Madoi, Qinghai; the MS6.0 earthquake in Delingha, Qinghai; the MS6.1 earthquake in Lushan, Sichuan; and the MS6.8 earthquake in Luding, Sichuan) that occurred on the western mainland of China over the past 2 years were studied. Based on monthly MODIS land surface temperature (LST) data and daily NOAA satellite longwave radiation data, the departure algorithm and the Robust Satellite Techniques (RST) algorithm were used to extract and analyze the characteristics of thermal infrared anomaly information for blocks and faults around the earthquake from different temporal and spatial scales. The results showed the following: 1) In the medium-term scale study based on monthly data, blocks near the epicenters of five earthquakes showed temperature increase anomalies of 1–6 months before the earthquakes; the areas of temperature increase anomalies were clearly controlled by the spatial distribution of the blocks, and earthquakes mostly occurred within blocks with frequent temperature increase anomalies. 2) In the short-term, thermal infrared anomaly feature tracking based on daily data meant that obvious thermal anomalies were also found. The thermal anomalies before the five seismic events all appeared within a period of 3 months before the earthquake, and there were multiple consecutive days of anomalies. The significant temperature increases generally occurred a month before the earthquake, and the distribution of the anomalies was mostly in the form of strips, which is basically consistent with the trend of the fault zone. The use of thermal infrared remote sensing data to summarize the dynamic evolution of thermal infrared anomalies of blocks and faults before strong earthquakes can provide a basis for the long-term monitoring of fault activity and seismic monitoring by satellite ...
Keywords	thermal infrared remote sensing ; tectogenesis ; earthquake ; thermal anomaly ; spatio-temporal correlation analysis ; Science ; Q
Subject code	550
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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Article ; Online: Lung Sound Recognition Method Based on Multi-Resolution Interleaved Net and Time-Frequency Feature Enhancement.

Shi, Lukui / Zhang, Jingye / Yang, Bo / Gao, Yingjie

IEEE journal of biomedical and health informatics

2023 Volume 27, Issue 10, Page(s) 4768–4779

Abstract: Air pollution and aging population have caused increasing rates of lung diseases and elderly lung diseases year by year. At the same time, the outbreak of COVID-19 has brought challenges to the medical system, which placed higher demands on preventing ... ...

Abstract	Air pollution and aging population have caused increasing rates of lung diseases and elderly lung diseases year by year. At the same time, the outbreak of COVID-19 has brought challenges to the medical system, which placed higher demands on preventing lung diseases and improving diagnostic efficiency to some extent. Artificial intelligence can alleviate the burden on the medical system by analyzing lung sound signals to help to diagnose lung diseases. The existing models for lung sound recognition have challenges in capturing the correlation between time and frequency information. It is difficult for convolutional neural network to capture multi-scale features across different resolutions, and the fusion of features ignores the difference of influences between time and frequency features. To address these issues, a lung sound recognition model based on multi-resolution interleaved net and time-frequency feature enhancement was proposed, which consisted of a heterogeneous dual-branch time-frequency feature extractor (TFFE), a time-frequency feature enhancement module based on branch attention (FEBA), and a fusion semantic classifier based on semantic mapping (FSC). TFFE independently extracts the time and frequency information of lung sounds through a multi-resolution interleaved net and Transformer, which maintains the correlation between time-frequency features. FEBA focuses on the differences in the influence of time and frequency information on prediction results by branch attention. The proposed model achieved an accuracy of 91.56% on the combined dataset, by an improvement of over 2.13% compared to other models.
Language	English
Publishing date	2023-10-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2023.3306911
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Article ; Online: Genome-wide identification of ZmMYC2 binding sites and target genes in maize.

Liu, Lijun / Zhang, Yuhan / Tang, Chen / Wu, Jine / Fu, Jingye / Wang, Qiang

BMC genomics

2024 Volume 25, Issue 1, Page(s) 397

Abstract: Background: Jasmonate (JA) is the important phytohormone to regulate plant growth and adaption to stress signals. MYC2, an bHLH transcription factor, is the master regulator of JA signaling. Although MYC2 in maize has been identified, its function ... ...

Abstract	Background: Jasmonate (JA) is the important phytohormone to regulate plant growth and adaption to stress signals. MYC2, an bHLH transcription factor, is the master regulator of JA signaling. Although MYC2 in maize has been identified, its function remains to be clarified. Results: To understand the function and regulatory mechanism of MYC2 in maize, the joint analysis of DAP-seq and RNA-seq is conducted to identify the binding sites and target genes of ZmMYC2. A total of 3183 genes are detected both in DAP-seq and RNA-seq data, potentially as the directly regulating genes of ZmMYC2. These genes are involved in various biological processes including plant growth and stress response. Besides the classic cis-elements like the G-box and E-box that are bound by MYC2, some new motifs are also revealed to be recognized by ZmMYC2, such as nGCATGCAnn, AAAAAAAA, CACGTGCGTGCG. The binding sites of many ZmMYC2 regulating genes are identified by IGV-sRNA. Conclusions: All together, abundant target genes of ZmMYC2 are characterized with their binding sites, providing the basis to construct the regulatory network of ZmMYC2 and better understanding for JA signaling in maize.
MeSH term(s)	Zea mays/genetics ; Zea mays/metabolism ; Binding Sites ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Gene Expression Regulation, Plant ; Oxylipins/metabolism ; Cyclopentanes/metabolism ; Genome, Plant ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/metabolism ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/genetics
Chemical Substances	Plant Proteins ; Oxylipins ; jasmonic acid (6RI5N05OWW) ; Cyclopentanes ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors
Language	English
Publishing date	2024-04-23
Publishing country	England
Document type	Journal Article
ZDB-ID	2041499-7
ISSN	1471-2164 ; 1471-2164
ISSN (online)	1471-2164
ISSN	1471-2164
DOI	10.1186/s12864-024-10297-z
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Article ; Online: Contrasting the characteristics, sources, and evolution of organic aerosols between summer and winter in a megacity of China.

Liu, Jieyao / Zhang, Fang / Xu, Weiqi / Chen, Lu / Ren, Jingye / Wang, Ying

The Science of the total environment

2023 Volume 877, Page(s) 162937

Abstract: Organic aerosol (OA) accounts for the largest fraction of fine particles in the ambient atmosphere, however, its formation process remains highly uncertain. Here, with an aim of obtaining insights to OA formation mechanism, we have focused on contrasting ...

Abstract	Organic aerosol (OA) accounts for the largest fraction of fine particles in the ambient atmosphere, however, its formation process remains highly uncertain. Here, with an aim of obtaining insights to OA formation mechanism, we have focused on contrasting the characteristics, sources and evolution of OA of PM
Language	English
Publishing date	2023-03-17
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.2023.162937
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Article ; Online: Fluorogenic and Cell-Permeable Rhodamine Dyes for High-Contrast Live-Cell Protein Labeling in Bioimaging and Biosensing.

Si, Dongjuan / Li, Quanlin / Bao, Yifan / Zhang, Jingye / Wang, Lu

Angewandte Chemie (International ed. in English)

2023 Volume 62, Issue 45, Page(s) e202307641

Abstract: The advancement of fluorescence microscopy techniques has opened up new opportunities for visualizing proteins and unraveling their functions in living biological systems. Small-molecule organic dyes, which possess exceptional photophysical properties, ... ...

Abstract	The advancement of fluorescence microscopy techniques has opened up new opportunities for visualizing proteins and unraveling their functions in living biological systems. Small-molecule organic dyes, which possess exceptional photophysical properties, small size, and high photostability, serve as powerful fluorescent reporters in protein imaging. However, achieving high-contrast live-cell labeling of target proteins with conventional organic dyes remains a considerable challenge in bioimaging and biosensing due to their inadequate cell permeability and high background signal. Over the past decade, a novel generation of fluorogenic and cell-permeable dyes has been developed, which have substantially improved live-cell protein labeling by fine-tuning the reversible equilibrium between a cell-permeable, nonfluorescent spirocyclic state (unbound) and a fluorescent zwitterion (protein-bound) of rhodamines. In this review, we present the mechanism and design strategies of these fluorogenic and cell-permeable rhodamines, as well as their applications in bioimaging and biosensing.
MeSH term(s)	Rhodamines ; Fluorescent Dyes/metabolism ; Microscopy, Fluorescence/methods
Chemical Substances	Rhodamines ; Fluorescent Dyes
Language	English
Publishing date	2023-07-31
Publishing country	Germany
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202307641
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Article ; Online: Autophagy inhibitors 3-MA and BAF may attenuate hippocampal neuronal necroptosis after global cerebral ischemia-reperfusion injury in male rats by inhibiting the interaction of the RIP3/AIF/CypA complex.

Zhang, Chen / Liu, Renhui / Chen, Mengmeng / Xu, Yang / Jin, Xiaoqin / Shen, Bing / Wang, Jingye

Journal of neuroscience research

2024 Volume 102, Issue 2, Page(s) e25301

Abstract: Our previous study found that receptor interacting protein 3 (RIP3) and apoptosis-inducing factor (AIF) were involved in neuronal programmed necrosis during global cerebral ischemia-reperfusion (I/R) injury. Here, we further studied its downstream ... ...

Abstract	Our previous study found that receptor interacting protein 3 (RIP3) and apoptosis-inducing factor (AIF) were involved in neuronal programmed necrosis during global cerebral ischemia-reperfusion (I/R) injury. Here, we further studied its downstream mechanisms and the role of the autophagy inhibitors 3-methyladenine (3-MA) and bafilomycin A1 (BAF). A 20-min global cerebral I/R injury model was constructed using the 4-vessel occlusion (4-VO) method in male rats. 3-MA and BAF were injected into the lateral ventricle 1 h before ischemia. Spatial and activation changes of proteins were detected by immunofluorescence (IF), and protein interaction was determined by immunoprecipitation (IP). The phosphorylation of H2AX (γ-H2AX) and activation of mixed lineage kinase domain-like protein (p-MLKL) occurred as early as 6 h after reperfusion. RIP3, AIF, and cyclophilin A (CypA) in the neurons after I/R injury were spatially overlapped around and within the nucleus and combined with each other after reperfusion. The survival rate of CA1 neurons in the 3-MA and BAF groups was significantly higher than that in the I/R group. Autophagy was activated significantly after I/R injury, which was partially inhibited by 3-MA and BAF. Pretreatment with both 3-MA and BAF almost completely inhibited nuclear translocation, spatial overlap, and combination of RIP3, AIF, and CypA proteins. These findings suggest that after global cerebral I/R injury, RIP3, AIF, and CypA translocated into the nuclei and formed the DNA degradation complex RIP3/AIF/CypA in hippocampal CA1 neurons. Pretreatment with autophagy inhibitors could reduce neuronal necroptosis by preventing the formation of the RIP3/AIF/CypA complex and its nuclear translocation.
MeSH term(s)	Rats ; Male ; Animals ; Cyclophilin A/genetics ; Cyclophilin A/metabolism ; Apoptosis Inducing Factor/genetics ; Apoptosis Inducing Factor/metabolism ; Necroptosis ; Brain Ischemia/drug therapy ; Brain Ischemia/metabolism ; Hippocampus/metabolism ; Apoptosis ; Neurons/metabolism ; Reperfusion Injury/drug therapy ; Reperfusion Injury/metabolism ; Autophagy ; Macrolides
Chemical Substances	Cyclophilin A (EC 5.2.1.-) ; Apoptosis Inducing Factor ; bafilomycin A1 (88899-55-2) ; Macrolides
Language	English
Publishing date	2024-01-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	195324-2
ISSN	1097-4547 ; 0360-4012
ISSN (online)	1097-4547
ISSN	0360-4012
DOI	10.1002/jnr.25301
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Article ; Online: Caspase-3/GSDME dependent pyroptosis contributes to offspring lung injury induced by gestational PFOS exposure via PERK/ATF4 signaling.

Li, Cong / Zhang, Huishan / Mo, Jiali / Zuo, Jingye / Ye, Leping

Archives of toxicology

2023 Volume 98, Issue 1, Page(s) 207–221

Abstract: Perfluorooctane sulfonate (PFOS) is widely used in industry and consumer products. Previous studies have showed that PFOS gestational exposure is associated with offspring lung damage in rat. However, the underlying mechanisms remain poorly understood. ... ...

Abstract	Perfluorooctane sulfonate (PFOS) is widely used in industry and consumer products. Previous studies have showed that PFOS gestational exposure is associated with offspring lung damage in rat. However, the underlying mechanisms remain poorly understood. In this study, we investigated the role of gasdermin E (GSDME) in lung injury of offspring and its underlying mechanisms using in vivo and in vitro approaches. Pregnant SD rats were exposed to PFOS (1 mg/kg BW/d) between gestational day 12-18, and the lung tissue of the offspring was evaluated on postnatal day 7. PFOS treated animals exhibited alveolar septal thickening and inflammation-related damages, with an increased expression of GSDME in alveolar type II epithelial cells (AECII). Furthermore, in vitro experiments demonstrated that PFOS exposure (with 225 μM and up) upregulated the caspase-3/GSDME signaling pathway in AECII. Also, ultrastructure analysis revealed significant changes in the endoplasmic reticulum (ER) structure in PFOS-induced pyroptotic cells, which is consistent with the ER stress detected in these cells. Additionally, PFOS exposure led to increased expression of ER stress-related proteins, including p-PERK, p-eIF2α, ATF4, and CHOP. Subsequently, using specific inhibitors, we found that the PERK/ATF4 pathway acted as an upstream signal regulating GSDME-dependent pyroptosis. Overall, our findings show that GSDME-dependent pyroptosis plays a crucial role in the lung injury induced by gestational PFOS exposure, and the PERK/ATF4 pathway may function as a possible mediator of this process.
MeSH term(s)	Animals ; Rats ; Activating Transcription Factor 4/metabolism ; Caspase 3/metabolism ; Endoplasmic Reticulum Stress ; Eukaryotic Initiation Factor-2/metabolism ; Lung Injury/chemically induced ; Pyroptosis ; Rats, Sprague-Dawley ; Signal Transduction ; Transcription Factor CHOP/metabolism
Chemical Substances	Activating Transcription Factor 4 (145891-90-3) ; Caspase 3 (EC 3.4.22.-) ; Eukaryotic Initiation Factor-2 ; Transcription Factor CHOP (147336-12-7) ; Gsdme protein, rat ; Casp3 protein, rat (EC 3.4.22.-)
Language	English
Publishing date	2023-11-13
Publishing country	Germany
Document type	Journal Article
ZDB-ID	124992-7
ISSN	1432-0738 ; 0340-5761
ISSN (online)	1432-0738
ISSN	0340-5761
DOI	10.1007/s00204-023-03626-w
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