Global Artificial Land Surface Dataset at 30 m Resolution (2010)

Chen, Jun; LIAO, Anping; Chen, Lijun; ZHANG, Hongwei; HE, Chaoying; PENG, Shu; Wu, Hao; ZHANG, Weiwei; LI, Ran; ZHENG, Xinyan; Yang, Mei; Lü, Miao; Lü, Nan; LIU, Jiyu; Kang, Rui; XING, Huaqiao; Zhu, Wu; LIU, Lifen; Han, Gang; Jing, Wang; YANG, Ailing; SUN, Limei; Song, Hao; CHEN, Weiping; ZHOU, Xiaomin; Xia, Lu; JIANG, Hongbing; HUO, Jian; Zhang, Yan; LIU, Wudi; LI, Yuxian; ZHAI, Liang; SANG, Huiyong

doi:10.3974/geodb.2014.02.02.v1

Cited by 7 publications

(7 citation statements)

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“…RNA sequencing data of IRF1 knockout and control human hepatocytes infected with hepatitis A virus are from GSE114916. RNA sequencing data of STAT1 knockout and control human HepG2 cells treated by IFN are from GSE98372 (Chen et al, 2017). RNA sequencing data of human tissues and cell types are from GSE83115 (Zhu et al, 2016).…”

Section: Accession Numbermentioning

confidence: 99%

“…RNA sequencing data of STAT1 knockout and control human HepG2 cells treated by IFN (Lamers et al, 2020) are obtained from NCBI Sequence Read Archive with BioProject ID: PRJNA384926 (https://www.ncbi.nlm.nih.gov/ bioproject/PRJNA384926/). RNA sequencing data of human tissues and cell types (Chen et al, 2017) are obtained from NCBI Sequence Read Archive with BioProject ID: PRJNA324812 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA324812/). RNA sequencing data of human early embryos and embryonic stem cells (Zhu et al, 2016) are obtained from NCBI Sequence Read Archive with BioProject ID: PRJNA153427 (https://www.…”

Section: Data Availability Statementmentioning

confidence: 99%

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Exogenous Coronavirus Interacts With Endogenous Retrotransposon in Human Cells

Yin

Liu

et al. 2021

Front. Cell. Infect. Microbiol.

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There is an increased global outbreak of diseases caused by coronaviruses affecting respiratory tracts of birds and mammals. Recent dangerous coronaviruses are MERS-CoV, SARS-CoV, and SARS-CoV-2, causing respiratory illness and even failure of several organs. However, profound impact of coronavirus on host cells remains elusive. In this study, we analyzed transcriptome of MERS-CoV, SARS-CoV, and SARS-CoV-2 infected human lung-derived cells, and observed that infection of these coronaviruses all induced increase of retrotransposon expression with upregulation of TET genes. Upregulation of retrotransposon was also observed in SARS-CoV-2 infected human intestinal organoids. Retrotransposon upregulation may lead to increased genome instability and enhanced expression of genes with readthrough from retrotransposons. Therefore, people with higher basal level of retrotransposon such as cancer patients and aged people may have increased risk of symptomatic infection. Additionally, we show evidence supporting long-term epigenetic inheritance of retrotransposon upregulation. We also observed chimeric transcripts of retrotransposon and SARS-CoV-2 RNA for potential human genome invasion of viral fragments, with the front and the rear part of SARS-CoV-2 genome being easier to form chimeric RNA. Thus, we suggest that primers and probes for nucleic acid detection should be designed in the middle of virus genome to identify live virus with higher probability. In summary, we propose our hypothesis that coronavirus invades human cells and interacts with retrotransposon, eliciting more severe symptoms in patients with underlying diseases. In the treatment of patients with coronavirus infection, it may be necessary to pay more attention to the potential harm contributed by retrotransposon dysregulation.

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Section: Accession Numbermentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

Exogenous Coronavirus Interacts With Endogenous Retrotransposon in Human Cells

Yin

Liu

et al. 2021

Front. Cell. Infect. Microbiol.

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“…There are more than 88 genera and 1400 species worldwide (Chen et al. 2006 ). However, the classification of some species is still controversial in traditional classification.…”

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confidence: 99%

The complete chloroplast genome sequence of Acidosasa gigantea (Bambusoideae: Arundinarieae): an ornamental bamboo species endemic to China

Zheng

Yang

Ding

et al. 2020

Mitochondrial DNA Part B

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We, at first, fully characterized the complete chloroplast genome of the woody bamboo Acidosasa gigantea using genome skimming and focused on comparative analyses among Acidosasa and Indosasa . This newly sequenced chloroplast genome (GenBank NO. MN917206) is a typical circular structure with 139,711 bp in length and comprises of an 83,295 bp large single-copy (LSC) region, a 12,824 bp small single-copy (SSC) region, and a pair of 21,796 bp inverted repeats (IRs). The GC content of A. gigantea is 38.9% and the sequences contained 132 unique genes were successfully annotated, including 39 tRNA genes, 8 rRNA genes, and 85 protein-coding genes. Phylogenetic analysis shows that A. gigantea is highly clustered in the Arundinaria clade (clade VI) of Arundinarieae, a sister of the clade of Acidosasa purpurea and was not clustered on the same branch as Indosasa sinica . Therefore, it is more accurate to classify A. gigantea into Acidosasa .

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“…The ratio of the sum of the area of rivers, lakes, and reservoirs to the total area is defined as WDI, which is an index to describe the fundamental ecological conditions (Liu, Liu, & Fang, ; Wang, Wei, & Qian, ; Wang, Yao, & Zhou, ) of malaria transmission. In this research, WDI was computed with raster data from the global land water regions dataset (2010) with a 30 m spatial resolution (GlobeLand30‐WTR2010) (Chen et al, ).…”

Section: Datamentioning

confidence: 99%

Geographically weighted regression‐based determinants of malaria incidences in northern China

Song

Wang

et al. 2016

Transactions in GIS

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Geographically weighted regression (GWR) is an important local method to explore spatial non-stationarity in data relationships. It has been repeatedly used to examine spatially varying relationships between epidemic diseases and predictors. Malaria, a serious parasitic disease around the world, shows spatial clustering in areas at risk. In this article, we used GWR to explore the local determinants of malaria incidences over a 7-year period in northern China, a typical midlatitude, high-risk malaria area. Normalized difference vegetation index (NDVI), land surface temperature (LST), temperature difference, elevation, water density index (WDI) and gross domestic product (GDP) were selected as predictors. Results showed that both positively and negatively local effects on malaria incidences appeared for all predictors except for WDI and GDP. The GWR model calibrations successfully depicted spatial variations in the effect sizes and levels of parameters, and also showed substantially improvements in terms of goodness of fits in contrast to the corresponding non-spatial ordinary least squares (OLS) model fits. For example, the diagnostic information of the OLS fit for the 7-year average case is R 2 5 0.243 and AICc 5 837.99, while significant improvement has been made by the GWR calibration with R 2 5 0.800 and AICc 5 618.54. K E Y W O R D Sgeographically weighted regression, local determinants examination, malaria incidence, remote sensing monitoring data, spatial analysis models 1 | I NTR OD U CTI ON

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Global Artificial Land Surface Dataset at 30 m Resolution (2010)

Cited by 7 publications

References 0 publications

Exogenous Coronavirus Interacts With Endogenous Retrotransposon in Human Cells

Exogenous Coronavirus Interacts With Endogenous Retrotransposon in Human Cells

The complete chloroplast genome sequence of Acidosasa gigantea (Bambusoideae: Arundinarieae): an ornamental bamboo species endemic to China

Geographically weighted regression‐based determinants of malaria incidences in northern China

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