Publications by authors named "Shichen Gao"

Arthropods account for 80% of the species diversity in the animal kingdom, yet many challenges remain in studying their evolutionary history. With advancements in genome sequencing technologies, it has become possible to obtain large quantities of genome skimming or transcriptomic data at low costs. However, the lack of a standardised analytical pipeline for arthropods has created inconveniences for many researchers.

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This study describes a new species of Polyxenida from China, , along with a species newly recorded from China: (Miyosi, 1947), and provides additional descriptions of Ishii & Liang, 1990 and Ishii & Liang, 1990. The study conducted mitochondrial cytochrome oxidase subunit I (COI) sequencing for all four species and constructed a phylogenetic tree based on the molecular data. The comprehensive morphological descriptions and molecular analyses confirm the addition of one new species and one newly recorded species for the Polyxenida fauna of China, elevating the total number of known Polyxenida species in the country from 10 to 12.

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Article Synopsis
  • * The study identified specific gene family expansions, particularly the UDP-glucosyltransferase 2 gene in Papilio polyxenes, which is crucial for insect detoxification.
  • * Additionally, it uncovered 199 horizontal gene transfer events from microbial species, revealing connections between gene evolution and environmental adaptation in nine ABC transporter subfamilies.
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Excessive discharges of industrial and domestic sewage containing high concentrations of phosphorus are causing damage to the environment, so the detection of these pollutants in bodies of water is extremely critical. External cavity quantum cascade laser (EC-QCL) spectroscopy is a novel measurement technology that surpasses conventional infrared spectroscopy techniques. In this research, we propose a transmission detection system with a long optical path based on an EC-QCL for the detection of phosphate concentration in water bodies.

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Article Synopsis
  • Huntington's disease (HD) is a hereditary neurological disorder linked to mutations in the HTT gene, causing neuronal degeneration and altered gene expression, but understanding this relationship is complex.
  • The study employed single-cell RNA sequencing and a deep learning model (ResNet) to analyze gene expression patterns in HD versus healthy cells, achieving a high F1 score of 96.53%.
  • By using the SHAP algorithm, the research identified key genes related to HD pathology, such as those involved in iron metabolism and mitochondrial function, providing new insights into the disease at the single-cell level.
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Anthocyanins are widely used in the food industry as an additive, improving antioxidant capacity and strengthening the human immune system. However, rapid and nondestructive detection methods are lacking. This study aimed to develop a rapid and nondestructive method to detect anthocyanin content in fresh purple maize leaves using hyperspectral reflectance.

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Background: Synonymous codon usage bias is noticed in the genome of every organism, influenced by mutation pressure and natural selection. The analysis of codon usage pattern in Porphyra umbilicalis chloroplast genome are inferred while previous study focused on codon bias in nuclear genome.

Objective: To develop a better understanding of the factors affecting synonymous codon usage, codon usage patterns and nucleotide composition of 150 genes in P.

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