Progress in soybean functional genomics over the past decade
M Zhang, S Liu, Z Wang, Y Yuan… - Plant Biotechnology …, 2022 - Wiley Online Library
Soybean is one of the most important oilseed and fodder crops. Benefiting from the efforts of
soybean breeders and the development of breeding technology, large number of …
soybean breeders and the development of breeding technology, large number of …
Citrulline metabolism in plants
Citrulline was chemically isolated more than 100 years ago and is ubiquitous in animals,
plants, bacteria, and fungi. Most of the research on plant citrulline metabolism and transport …
plants, bacteria, and fungi. Most of the research on plant citrulline metabolism and transport …
Identification of potential biomarkers and pathways associated with carotid atherosclerotic plaques in type 2 diabetes mellitus: A transcriptomics study
T Yu, B Xu, M Bao, Y Gao, Q Zhang… - Frontiers in …, 2022 - frontiersin.org
Type 2 diabetes mellitus (T2DM) affects the formation of carotid atherosclerotic plaques
(CAPs) and patients are prone to plaque instability. It is crucial to clarify transcriptomics …
(CAPs) and patients are prone to plaque instability. It is crucial to clarify transcriptomics …
Screening of important factors in the early sepsis stage based on the evaluation of ssGSEA algorithm and ceRNA regulatory network
L Huang, C Wu, D Xu, Y Cui… - Evolutionary …, 2021 - journals.sagepub.com
Background: Sepsis is a dysregulated host response to pathogens. Delay in sepsis
diagnosis has become a primary cause of patient death. This study determines some factors …
diagnosis has become a primary cause of patient death. This study determines some factors …
Deep transcriptome sequencing provides new insights into the structural and functional organization of the wheat genome
Background Because of its size, allohexaploid nature, and high repeat content, the bread
wheat genome is a good model to study the impact of the genome structure on gene …
wheat genome is a good model to study the impact of the genome structure on gene …
Transcriptomics reveals multiple resistance mechanisms against cotton leaf curl disease in a naturally immune cotton species, Gossypium arboreum
Cotton leaf curl disease (CLCuD), caused by cotton leaf curl viruses (CLCuVs), is among the
most devastating diseases in cotton. While the widely cultivated cotton species Gossypium …
most devastating diseases in cotton. While the widely cultivated cotton species Gossypium …
Identification and validation of an eight-lncRNA signature that predicts prognosis in patients with esophageal squamous cell carcinoma
J Zhang, X Ling, C Fang, J Ma - Cellular & Molecular Biology Letters, 2022 - Springer
Background Esophageal squamous cell carcinoma (ESCC) is correlated with worse clinical
prognosis and lacks available targeted therapy. Thus, identification of reliable biomarkers is …
prognosis and lacks available targeted therapy. Thus, identification of reliable biomarkers is …
Exploring the Molecular Mechanism of Blue Flower Color Formation in Hydrangea macrophylla cv. “Forever Summer”
J Peng, X Dong, C Xue, Z Liu, F Cao - Frontiers in Plant Science, 2021 - frontiersin.org
Hydrangea macrophylla has a large inflorescence and rich colors, which has made it one of
the most popular ornamental flowers worldwide. Thus far, the molecular mechanism of …
the most popular ornamental flowers worldwide. Thus far, the molecular mechanism of …
A Small Cysteine-Rich Protein from the Asian Soybean Rust Fungus, Phakopsora pachyrhizi, Suppresses Plant Immunity
M Qi, TI Link, M Müller, D Hirschburger… - PLoS …, 2016 - journals.plos.org
The Asian soybean rust fungus, Phakopsora pachyrhizi, is an obligate biotrophic pathogen
causing severe soybean disease epidemics. Molecular mechanisms by which P. pachyrhizi …
causing severe soybean disease epidemics. Molecular mechanisms by which P. pachyrhizi …
A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma
G Wu, M Zhang - BMC cancer, 2020 - Springer
Background This study aims to identify a predictive model to predict survival outcomes of
osteosarcoma (OS) patients. Methods A RNA sequencing dataset (the training set) and a …
osteosarcoma (OS) patients. Methods A RNA sequencing dataset (the training set) and a …