Centre for Heart Rhythm Disorders, University of Adelaide, Adelaide, Australia; Department of Cardiology, Royal Adelaide Hospital, Adelaide, Australia. Electronic address: prash.sanders@adelaide.edu.au.
Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Clinical Pharmacology, Research Center of Medical Sciences, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Clinical Pharmacology, Research Center of Medical Sciences, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Department of Medicine and Research Center Montreal Heart Institute and Université de Montréal, Montréal, Québec, Canada; Department of Cardiology, University Hospital of Saint-Étienne, University Jean Monnet, Saint-Étienne, France.
Department of Medicine and Research Center Montreal Heart Institute and Université de Montréal, Montréal, Québec, Canada; Department of Pharmacology and Therapeutics, McGill University Montréal, Montréal, Québec, Canada; Institute of Pharmacology, West German Heart and Vascular Center, Faculty of Medicine, University Duisburg-Essen, Essen, Germany; IHU LIRYC and Fondation Bordeaux Université, Bordeaux, France. Electronic address: stanley.nattel@icm-mhi.org.
Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Department of Physiology and Pharmacology, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Department of Physiology and Pharmacology, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
The success of mRNA vaccines has been realised, in part, by advances in manufacturing that enabled billions of doses to be produced at sufficient quality and safety. However, mRNA vaccines must be rig...
miRNA and other forms of small RNAs are known to regulate many biological processes. Single-cell small RNA sequencing can be used to profile small RNAs of individual cells; however, limitations of eff...
Early diagnosis and prognostic predication of gastric cancer (GC) pose significant challenges in current clinical practice of GC treatments. Therefore, our aim was to explore relevant gene signatures ...
Here, we established a single-cell transcriptional atlas of GC, focusing on the expression of T-cell-related genes for cell-cell communication analysis, trajectory analysis, and transcription factor r...
Based on 10 tumor samples and corresponding normal samples from GC patients, we selected 18,416 cells for subsequent analysis using single-cell sequencing. From these, we identified 3,284 T-cells and ...
This study explored prognostic gene signatures associated with T-cells in GC patients, providing insights into predicting patients' survival rates and immunoinfiltration levels....
Alternative polyadenylation (APA) is an important post-transcriptional mechanism that has major implications in biological processes and diseases. Although specialized sequencing methods for polyadeny...
RNA sequencing (RNA-Seq) is a powerful technique and is increasingly being used in clinical research and drug development. Currently, several RNA-Seq methods have been developed. However, the relative...
The growing power and ever decreasing cost of RNA sequencing (RNA-Seq) technologies have resulted in an explosion of RNA-Seq data production. Comparing gene expression values within RNA-Seq datasets i...
Here, we describe ROGUE (RNA-Seq Ontology Graphic User Environment, https://marisshiny....
chop.edu/ROGUE/ ), a user-friendly R Shiny application that allows a biologist to perform differentially expressed gene analysis, gene ontology and pathway enrichment analysis, potential biomarker ide...
User-friendly tools for the analysis of next generation sequencing data, such as ROGUE, will allow biologists to efficiently explore their datasets, discover expression patterns, and advance their res...
Batten disease is a group of rare inherited neurodegenerative diseases. Juvenile CLN3 disease is the most prevalent type, and the most common pathogenic variant shared by most patients is the "1-kb" d...
We leveraged PacBio long-read RNA sequencing datasets from ENCODE to investigate the full range of CLN3 transcripts across various tissues and cell types in human control samples. Then we sought to va...
We found that a readthrough gene affects the quantification and annotation of CLN3. After taking this into account, we detected over 100 novel CLN3 transcripts, with no dominantly expressed CLN3 trans...
Overall, these findings provide valuable insights into the complexity of CLN3 transcription, highlighting the importance of studying both canonical and non-canonical CLN3 protein isoforms as well as t...
The dry root or stem bark of Fraxinus chinensis is a famous herb Qin Pi which is known for its anti-inflammatory, analgesic, anti-tumor, liver protective and diuretic pharmacological effects, the fund...
To generate a complete transcriptome of Fraxinus chinensis and to clarify the differentially expressed genes (DEGs) in leaves and stem barks....
In this study, full-length transcriptome analysis and RNA-Seq were combined to characterize Fraxinus chinensis transcriptome....
A total of 69,145 transcripts were acquired and regarded as reference transcriptome, 67,441 transcripts (97.47%) were annotated to NCBI non-redundant protein (Nr), SwissProt, the Kyoto Encyclopedia of...
It laid the foundation for further exploration of the biosynthetic pathway of phenylpropanoids and related key enzyme genes....
Acute invasive fungal sinusitis (AIFS) is an aggressive and dangerous disease of the paranasal sinuses with high morbidity and mortality. The immune response at the level of the nasal mucosa, the site...
To evaluate differential gene expression in the sinonasal mucosa of AIFS patients as compared to control patients using RNA sequencing....
Sinonasal tissue samples were prospectively obtained from consenting patients undergoing surgery between November, 2020 and November, 2021. RNA extraction and sequencing were performed and differentia...
Tissue samples were collected from 4 patients with active AIFS diagnoses, 2 patients with recovered AIFS, 1 patient with a diagnosis of non-invasive fungal ball, and 4 healthy controls. 255 genes were...
Transcriptional differences were noted between AIFS and control patients in sinonasal tissue samples. Future work is necessary to determine causes of the differential gene expressions between AIFS and...
Mast cells are tissue-resident cells playing major roles in homeostasis and disease conditions. Lung mast cells are particularly important in airway inflammatory diseases such as asthma. Human mast ce...
