Articles tagged with Single Cell Sequencing
Researchers have established an organoid biobank to search for genes essential for SARS-CoV-2 replication and spread. The study identified TMPRSS2 as a potential therapeutic target for the coronavirus, with specific inhibitors recently developed.
Researchers at Tampere University identified a specific population of treatment-resistant cells that persists in prostate cancer tissue. This finding suggests that the presence of these cells can predict patient responses to treatment and may help tailor treatment for different subgroups of patients.
Researchers at the University of Toronto have created a new tool called DISCO that enables the analysis of individual cells in their natural environment. The method combines cell microscopy with single-cell omics platforms, allowing scientists to study stem cells and other rare cell types in greater detail.
A new method, knowledge-primed neural networks (KPNNs), combines deep learning with biological interpretability to understand complex biological systems. KPNNs have been applied to large single-cell datasets, revealing unexpected diversity in cell-type-defining regulatory networks.
Scientists have improved a technique called RACE-Seq to better understand the functions of individual cells in environmental samples. The new protocol increases genome coverage from around 20% to over 50%, allowing researchers to analyze the genetic and functional links between cells and their environments.
Researchers used single cell genome sequencing to analyze malaria parasite cells, finding that nearly all infections were caused by a single mosquito bite. This discovery could lead to more effective interventions and models for predicting antimalarial drug resistance.
Researchers have created a spatial map of gene expression for individual cells in various tissues, including the liver and intestinal epithelium. The new algorithm, called 'novoSpaRc', uses machine learning to track gene activity and reveals new insights into tissue organization and regulation.
Researchers have developed a novel method to precisely detect and characterize genes in individual cells, enabling selective enrichment of selected molecules. This approach, called BART-Seq, addresses the challenge of detecting low-abundance gene transcripts and has potential applications in disease diagnosis and precision gene-editing.
Researchers at Harvard University have developed a new platform for rapid single-cell sequencing, combining microfluidics and novel software to scale up single-cell ATAC-seq. This approach enables the analysis of gene control in individual cells, revealing new insights into cell development and disease processes.
BRB-seq, a novel approach to RNA sequencing, preserves strand-specificity and detects the same number of genes as gold standard methods. The technique is 25 times less expensive than commercial RNA sequencing technologies, enabling bulk RNA sequencing of large sets of samples.
A new study compared traditional Illumina platforms to an alternative BGISEQ-500 short-read sequencing platform for single-cell transcriptomics. The authors found that BGISEQ-500 was highly comparable in sensitivity, accuracy, and reproducibility of detected RNA molecules.
Scientists discovered rare enteroendocrine cells in the intestine that produce hormones like ghrelin and GLP1, which can be tweaked to treat diseases like diabetes and obesity. By studying these cells using single-cell sequencing, researchers hope to develop new therapies.
Researchers used machine learning to detect small DNA changes in single brain cells, revealing thousands of previously unknown variations. The study found that these changes peaked during a key stage of brain development, implying a regulated process.
A new, portable microfluidic device has been developed to facilitate single-cell analysis and identify fibroblast subtypes in rheumatoid arthritis (RA) patients. The device, which can be assembled for $600, enables researchers to profile joint synovial tissue from RA patients on-site, optimizing sample quality.
Scientists have established minimum metadata requirements for single-cell genomics and metagenome-assembled genomes, enabling researchers to compare analyses and assess genome quality. The proposed categories include Low-Quality Drafts, Medium-Quality Drafts, High-Quality Drafts, and Finished Quality.
A new single-cell sequencing method, AccuSomatic Amplification for Single Cell Sequencing, has been developed to accurately detect somatic single nucleotide variations in single cells. This breakthrough technology eliminates errors in somatic SNV calls while maintaining detection sensitivity.
A team at the DOE JGI has developed ProDeGe, a computational protocol for quick and automated removal of contaminant sequences from draft genomes. The tool classifies sequences as 'clean' or 'contaminant' and runs at a rate of 0.30 CPU core hours per megabase of sequence.
Researchers have developed a large-scale sequencing technique called Genome and Transcriptome Sequencing (G&T-seq) that reveals the unique genome sequence of a single cell and the activity of genes within that cell. The study found that when a cell loses or gains a copy of a chromosome, the genes in that region show decreased or in...
Researchers at the University of California, San Diego, used single-cell RNA sequencing to analyze gene expression in mouse embryos and found that a handful of genes are signaling to each other at the two-cell and four-cell stage. This discovery could provide insight into early miscarriages and birth defects.
A new study reveals that marine viruses are more important to microbial ecology below sunlit surface waters than previously suspected. The research focused on a sulfur-oxidizing bacterium called SUP05, which is dominant in oxygen minimum zones and has not been successfully cultivated in a lab setting.
Researchers at UC San Diego have developed a new single-cell genome sequencing technique that confines genome amplification to fluid-filled wells with a volume of just 12 nanoliters. This approach enables the generation of more complete genome sequences from single cells, including E. coli and individual neurons from the human brain.
Researchers at Salk Institute discovered a patchwork of genetic variation in individual brain neurons, contrary to the long-held belief that each cell possesses identical DNA code. The study found that up to 41% of neurons have unique, massive copy number variations (CNVs) that arose spontaneously.
Scientists have cracked the genetic code of bacteria linked to periodontitis, a disease marked by inflammation and infection of the teeth's supporting ligaments and bones. The unique genetic code allows SR1 bacteria to introduce a glycine amino acid, limiting gene exchange with other bacteria.
Researchers develop SPAdes, a new algorithm to sequence genomes from single cells, enabling analysis of 'dark matter' bacteria and human pathogens. The breakthrough could lead to early detection of cancer progression by monitoring normal cells before they turn malignant.
BGI's single-cell sequencing technology enables researchers to analyze genetic characteristics of essential thrombocythemia and clear cell renal cell carcinoma. The method provides clearer intratumoral genetic pictures and developmental history than previous bulk tissue sequencing, opening new ways for the genetic study of tumors.
The DOE JGI has selected 71 new genomic sequencing projects for its 2010 Community Sequencing Program, focused on bioenergy, climate, and environmental applications. The program aims to improve the clean energy pathways and understanding of the global carbon cycle.
Researchers have successfully sequenced the genomes of two uncultured flavobacteria using a novel single-cell approach. This technique allows for the analysis of minute quantities of DNA and has potential applications in biotechnology and understanding microbial communities.