Successful plant reproduction relies on the perfect orchestration of singular processes that culminate in the product of reproduction: the seed. The floral transition, floral organ development, and fertilization are well-studied processes and the genetic regulation of the various steps is being increasingly unveiled. Initially, based predominantly on genetic studies, the regulatory pathways were considered to be linear, but recent genome-wide analyses, using high-throughput technologies, have begun to reveal a different scenario. Complex gene regulatory networks underlie these processes, including transcription factors, microRNAs, movable factors, hormones, and chromatin-modifying proteins. Here we review recent progress in understanding the networks that control the major steps in plant reproduction, showing how new advances in experimental and computational technologies have been instrumental. As these recent discoveries were obtained using the model species Arabidopsis thaliana, we will restrict this review to regulatory networks in this important model species. However, more fragmentary information obtained from other species reveals that both the developmental processes and the underlying regulatory networks are largely conserved, making this review also of interest to those studying other plant species.
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http://dx.doi.org/10.1093/jxb/eru233 | DOI Listing |
Sci Rep
December 2024
Department of Orthopaedics, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transcriptomic commonalities and molecular pathways shared by RB and OS, and to identify biomarkers that predict OS prognosis effectively.
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December 2024
Department of Minimally Invasive Hepatic Surgery, Key Laboratory of Hepatosplenic Surgery, the First Affiliated Hospital of Harbin Medical University, Ministry of Education, Harbin, Heilongjiang, China.
Alternative splicing (AS) contributes to transcript and protein diversity, affecting their structure and function. However, the specific transcriptional regulatory mechanisms underlying AS in the context of hepatic ischemia reperfusion (IR) injury in mice have not been extensively characterized. In this study, we investigated differentially alternatively spliced (DAS) genes and differentially expressed transcripts (DETs) in a mouse model of hepatic IR injury using the high throughput RNA sequencing (RNA-seq) analysis and replicate multivariate analysis of transcript splicing (rMATS) analysis.
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December 2024
Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alzheimer's disease (AD) is a degenerative illness that accounts for the common type of dementia among adults over the age of 65. Despite extensive studies on the pathogenesis of the disease, early diagnosis of AD is still debatable. In this research, we performed bioinformatics approaches on the AD-related E-MTAB 6094 dataset to uncover new potential biomarkers for AD diagnosis.
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December 2024
Department of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China.
Mechanical ventilation contributes to diaphragm atrophy and muscle weakness, which is referred to as ventilator-induced diaphragmatic dysfunction (VIDD). The pathogenesis of VIDD has not been fully understood until recently. The aim of this study was to investigate the effects of 24 h of mechanical ventilation on fibro-adipogenic progenitor (FAP) proliferation, endothelial-mesenchymal transition (EndMT), and immune cell infiltration driving diaphragm fibrosis in a rabbit model.
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December 2024
Acupuncture and Moxibustion College, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, China.
Ferroptosis is linked to various pathological conditions; however, the specific targets and mechanisms through which traditional Chinese medicine influences ischemic stroke (IS)-induced ferroptosis remain poorly understood. In this study, data from the Gene Expression Omnibus and disease target databases (OMIM, GeneCards, DisGeNet, TTD, and DrugBank) were integrated with ferroptosis-related gene datasets. To identify key molecular targets of Chuanxiong Rhizoma (CX), drug ingredient databases, including PubChem and TCMBank, were employed to map CX-related targets (CX-DEGs-FRG and CX-IS-FRG).
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