Social Media Ideas for Longitudinal Transcriptomics

Latest updates for Longitudinal Transcriptomics

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rna-seqblog.com /5 days ago

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 ov...

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rna-seqblog.com /1 month ago

Benchmarking long-read RNA sequencing tools for single-cell and spatial transcriptomics

RNA sequencing benchmark compares long-read bioinformatics tools for single-cell and spatial transcriptomics, helping researchers improve isoform detection and gene...

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rna-seqblog.com /1 month ago

Seq-Scope-X pushes spatial transcriptomics beyond optical resolution

RNA sequencing combined with tissue expansion enabled ultra-high-resolution spatial transcriptomics, allowing researchers to map gene activity within individual cells with...

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rna-seqblog.com /1 month ago

Spatial transcriptomics benchmark compares leading platforms

RNA sequencing and spatial transcriptomics were combined to benchmark leading platforms, helping researchers compare how accurately each maps gene activity within complex tissues.....

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rna-seqblog.com /4 weeks ago

NextLongIso – a comprehensive Nextflow pipeline for multi-dimensional long-read RNA-seq analysis

NextLongIso provides a unified RNA sequencing pipeline for analyzing transcript isoforms, alternative splicing, promoter usage, and...

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rna-seqblog.com /1 month ago

NanoncRNA-seq – an rRNA-depleted full-length transcriptome strategy for identification of novel lncRNA isoforms

A new RNA sequencing workflow using nanopore technology improves full-length lncRNA isoform discovery, revealing many previously undetected transcripts missed by conventional short...

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journals.plos.org /4 weeks ago

Integrating short-read and long-read single-cell transcriptomics of pig pituitary reveals mechanisms of high-altitude hy...

by Hai Li, Xudong Wu, Hailong Huo, Xia Zhang, Yiming Guo, Wan Lin, Feidi Wen, Zhijun Zhao, Guiying Zhao, Jinlong Huo Acting as the central endocrine hub, the pituitary gland is cl...

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lifespan.io /1 month ago

A New Transcriptomic Clock for Intervention Analysis

A team of researchers has developed Pasta, a transcriptomic clock that accurately predicts the age-related effects of various compounds and gene expressions. Epigenetics versus tra...

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rna-seqblog.com /1 month ago

The Lomb–Scargle periodogram-based differentially expressed gene detection along pseudotime

RNA sequencing combined with a new computational method improved detection of genes that change during cellular transitions, helping researchers better understand...

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rna-seqblog.com /1 month ago

Examining the impact of aging on critical cellular processes

Combining short- and long-read RNA sequencing reveals how aging alters gene expression, splicing, and transcription, providing new insights into the molecular processes that drive...

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rna-seqblog.com /3 weeks ago

Tidesurf improves RNA velocity analysis for modern single-cell RNA sequencing

Tidesurf improves RNA sequencing analysis by accurately quantifying spliced and unspliced transcripts across 3' and 5' protocols for more reliable RNA velocity estimates...

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journals.plos.org /1 month ago

Accurate <i>de novo</i> transcription unit annotation from run-on and sequencing data

by Paul R. Munn, Jay Chia, Charles G. Danko Functional element annotations are critical tools used to provide insight into the molecular processes governing cell development, diff...

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rna-seqblog.com /1 day ago

POND-seq enables non-destructive RNA sequencing in living cells

POND-seq enables non-destructive RNA sequencing of living cells, allowing repeated measurement of transcriptomes and RNA-binding protein interactions as cells respond to changing c...

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rna-seqblog.com /2 weeks ago

An end-to-end computational framework for “Record-seq” transcriptional recording data

A new framework adapts RNA sequencing analysis for Record-seq, improving spacer extraction, transcription-unit quantification, normalization, differential expression, and modeling...

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rna-seqblog.com /1 month ago

Amaranth – enhanced single-cell transcript assembly via discriminative modelling of UMI reads and internal reads

Amaranth improves transcript reconstruction from RNA sequencing data by modeling different read types, enabling more accurate isoform analysis at single-cell resolution...

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journals.plos.org /1 week ago

Characterization of METTL3/14-mediated m<sup>6</sup>A modification in human transcriptome using Nanopore dir...

by Emily Kurtyan, Andrew J. Stein, Kelly J. Abdalla, Zhangerjiao Yuan, Miten Jain, Fadia Ibrahim Post-transcriptional RNA modifications modulate diverse aspects of RNA metabolism....

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genengnews.com /4 weeks ago

Spatial Transcriptomics Uncovers Heterogeneity in Heart Transplant Rejection

Image-based spatial transcriptomics was applied to longitudinal human endomyocardial biopsy samples from 62 adult and pediatric heart transplant recipients during and after histolo...

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rna-seqblog.com /2 weeks ago

PotatoRTD and TomatoRTD: comprehensive reference transcript datasets for accurate transcriptome analysis and isoform dis...

RNA sequencing and Iso-Seq improve potato and tomato transcript annotations, revealing additional isoforms and enabling more accurate analysis of gene expression and alternative sp...

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genengnews.com /1 week ago

Spatial Transcriptomics Tools May Link Tumor Organization to Treatment Response

A new spatial transcriptomics framework compares tumor “floor plans." In a study of 262 solid tumors, the team identified recurring spatial groups that may connect spatial structur...

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bioengineer.org /4 weeks ago

OneCell CUT&Tag Maps Chromatin, Transcripts and Surface Markers, Revealing Epigenomic Reprogramming

A new single-cell technology is giving researchers an unusually complete view of how individual cells establish and change their identities. Called OneCell CUT&Tag, the method...

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journals.plos.org /1 month ago

ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learnin...

by Yongyu Long, Wenhao Zhang, Lan Cao, Xiaobing Huang, Ying Wang Accurate annotation of cell types in single-cell transcriptome sequencing (scRNA-seq) data is critical for underst...

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rna-seqblog.com /1 week ago

Spatial mapping of RNA turnover kinetics in the mouse brain

Spatial RNA sequencing maps RNA synthesis and degradation across the mouse brain, revealing how different regions rapidly adjust gene expression in response to stimulation...

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webwire.com /2 days ago

New method allows scientists to follow gene activity over time in the same cells

The following press release was issued by the Broad Institute of MIT and Harvard. - - In recent years, scientists have built methods to measure a cell's transcriptome, or all t...

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rna-seqblog.com /1 week ago

scLS – a computationally efficient differentially expressed gene detection algorithm

A new RNA sequencing analysis method uses the Lomb-Scargle periodogram to efficiently identify genes associated with pseudotime across complex single-cell trajectories...

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