Live-cell Transcriptomics
Embryo RNA Sequencing
Chimeric RNA Discovery
New method allows scientists to follow gene activity over time in the same cells
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes over time...
Single-cell and single-embryo RNA sequencing
Single-cell and single-embryo RNA sequencing enables detailed analysis of gene expression and cell identity during the earliest stages of embryonic development...
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Direct RNA sequencing revealed thousands of chimeric mRNAs in mammalian cells, uncovering previously unknown proteins with roles in immunity, inflammation, and potential drug discovery...
Deep learning improves microRNA target prediction from sequence
MicroRNAs, or miRNAs, are small RNA molecules that help control gene expression. They work by guiding Argonaute proteins to specific RNA targets, where they can reduce the production of proteins from those genes. Predicting which RNAs a miRNA will ...
New Johns Hopkins Study Identifies Pervasive RT-qPCR Artifact in CRISPR Knockdown Studies and How UltraMarathonRT® Solves It
Guide RNAs from RNA-targeting CRISPR systems remain bound to their target mRNA after total RNA preparations and suppress conventional reverse transcription. uMRT's strand-displacing reverse transcriptase restores accurate knockdown quantification. RNAConnect, a life science company providing next- generation tools to ...
Atlas of the brain’s striatum could guide researchers to new drug treatments
A new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders. A region of the brain called the striatum is critical for many cognitive and motor functions, including decision-making, control of movement, ...
scLS – a computationally efficient differentially expressed gene detection algorithm
The proposed algorithm enables pseudotime-based dynamics without the need for explicit regression models or branch assignment Single-cell RNA sequencing (scRNA-seq) is a method to measure gene expression of individual cells, allowing observation of various cellular processes, including cell differentiation, ...
Lexogen Expands NGS Services with GCLP-Compliant Workflows
Lexogen, a specialist in RNA sequencing technologies and next-generation sequencing services, announces the availability of designated NGS service workflows operated in compliance with the principles of the World Health Organization's Good Clinical Laboratory Practice guidance. The offering is designed for clinical research and clinical-trial projects requiring ...
Spatial mapping of RNA turnover kinetics in the mouse brain
Gene expression is often described by measuring how much RNA is present in a cell at a given moment. But RNA levels are constantly changing as new molecules are produced and older ones are broken down. Measuring both processes ...
New method allows scientists to follow gene activity over time in the same cells
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes over time...
Single-cell and single-embryo RNA sequencing
Single-cell and single-embryo RNA sequencing enables detailed analysis of gene expression and cell identity during the earliest stages of embryonic development...
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Direct RNA sequencing revealed thousands of chimeric mRNAs in mammalian cells, uncovering previously unknown proteins with roles in immunity, inflammation, and potential drug discovery...
Deep learning improves microRNA target prediction from sequence
MicroRNAs, or miRNAs, are small RNA molecules that help control gene expression. They work by guiding Argonaute proteins to specific RNA targets, where they can reduce the production of proteins from those genes. Predicting which RNAs a miRNA will ...
New Johns Hopkins Study Identifies Pervasive RT-qPCR Artifact in CRISPR Knockdown Studies and How UltraMarathonRT® Solves It
Guide RNAs from RNA-targeting CRISPR systems remain bound to their target mRNA after total RNA preparations and suppress conventional reverse transcription. uMRT's strand-displacing reverse transcriptase restores accurate knockdown quantification. RNAConnect, a life science company providing next- generation tools to ...
Atlas of the brain’s striatum could guide researchers to new drug treatments
A new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders. A region of the brain called the striatum is critical for many cognitive and motor functions, including decision-making, control of movement, ...
RNA-Seq Products & Services
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About Plasmidsaurus Plasmidsaurus is on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists. Our sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune ...
INDUSTRY NEWS
New Johns Hopkins Study Identifies Pervasive RT-qPCR Artifact in CRISPR Knockdown Studies and How UltraMarathonRT® Solves It
Guide RNAs from RNA-targeting CRISPR systems remain bound to their target mRNA after total RNA preparations and suppress conventional reverse transcription. uMRT's strand-displacing reverse transcriptase restores accurate knockdown quantification. RNAConnect, a life science company providing next- generation tools to ...
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Long-Read Sequencing Uppsala, November 2-4, 2026
#LRUA26: Empower your research with long-read sequencing technologies Long-read sequencing technologies are replacing short-read sequencing as the gold standard solution for a wide range of genomics applications. In addition to producing high quality de novo genome assemblies, long-read technologies can be ...
RNA-SEQ Forum Feeds
- Bioinformatics Stackexchange
- SEQanswers - RNA Sequencing
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does anyone have any recommendations for studying deep learning for [...]
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RNA-SEQ Data Analysis Tool Collections
Recent RNA-Seq Data Analysis Tools
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
CellTypeAI – cell annotation for scRNA-seq using local generative-AI
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
PotatoRTD and TomatoRTD: comprehensive reference transcript datasets for accurate transcriptome analysis and isoform discovery
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