#transcriptomes
🌱 From Plant Direct: New transcriptomes for five Spiraeeae species reveal gene expression differences and candidates for studying leaf development and ecological variation. (Armin M. Mafakheri, Daniel Potter)

▶️ onlinelibrary.wiley.com/doi/10.1002/...

#PlantScience #Botany
Long‐Read Reference Transcriptomes for Five Species of Rosaceae Tribe Spiraeeae: A Resource for Investigating Sequence Divergence, Species‐Associated Expression Variation, and Leaf‐Developmental Candidate Genes
Species in the Rosaceae tribe Spiraeeae occupy diverse habitats and vary strikingly in growth form and leaf morphology. Still, no reference transcriptomes have been published for the tribe, and its t...
onlinelibrary.wiley.com
November 13, 2026 at 5:28 PM
I don’t think it’s ill posed. Maybe something like that could be found in the cell transcriptomes or proteomes
November 10, 2026 at 10:31 PM
Nerdism alert: Was thinking science. The TATA box. A genetic element that is a binding site for transcriptomes to make mRNA from a genomic sequence. Named for the TATA sequence found in all of them. Then my 12yo brain took over. LOL. Box of Tatas!! Show me lots of tatas in that there box!
Zoidberg Laughing Evilly
ALT: Zoidberg Laughing Evilly
static.klipy.com
November 13, 2026 at 10:48 PM
It was great to be part of this phylogenomic project with @jandevries.bsky.social, using 43 new and a total of 104 zygnematophycean transcriptomes to understand the genomic divergence and #evolution of the closest algal relatives of land plants #plantsci
Understanding the #algae that preceded land #plants requires resolving the #evolution of Zygnematophyceae, their closest relatives. This study shows that the group is ancient and deeply diverged, refining models of the period preceding plant terrestrialization.
🧪 #AcademicSky
plos.io/3UjDBmG
November 8, 2026 at 4:18 PM
scPolyA enables efficient, interactive and agent-guided alternative polyadenylation analysis in single-cell and spatial transcriptomes https://www.biorxiv.org/content/10.64898/2026.11.05.764757v1
November 9, 2026 at 11:47 AM
I would be so happy if some of the AI hype money was instead spent on funding omics work if they were actually serious about curing disease. More mapping of transcriptomes, metabolomes, microbiomes, and proteomes will be useful regardless of if AI is a bubble.
November 11, 2026 at 10:41 PM
Hesham Abdelgawad, Igor Martayan, Camille Marchet, Rob Patro: spearfish: ultrafast Δ-mapping of long reads to redundant transcriptomes https://hal.science/hal-05858531v1 [sdv.bbm.gtp]
November 11, 2026 at 3:01 AM
1/4 The atlas covers 400 transcriptomes from 52 organs at newborn, young, and adult stages. It annotates 25,530 genes and reports 28,533 novel lncRNAs, 215,754 alternative splicing events, and 3,093,058 A-to-I RNA-editing sites.
November 13, 2026 at 2:28 AM
📢 Save the Date! Join the #dkNET Webinar on Friday, Nov 20, 11 AM–12 PM PT!
Learn how Texera Gene2GO generates high-confidence #gene regulatory networks from clinical #transcriptomes.
🎤 Neil McKenna, PhD, Baylor College of Medicine
🔗 dknet.org/about/blog/2...
#Bioinformatics
November 14, 2026 at 2:04 AM
Donor-associated variation outweighs PMOS status in patient-derived iPSC transcriptomes: a genotyped, BMI-adjusted study of 14 lines https://www.biorxiv.org/content/10.64898/2026.11.09.765405v1
November 10, 2026 at 11:30 PM
🚀 New paper in @cp-cellrepmed.bsky.social!
👉 Uncovering combination therapies for immune-mediated inflammatory diseases through systems biology analysis on longitudinal patient data

Led by @vhio.bsky.social, with the collaboration of Dr. @hoheyn.bsky.social (CNAG)

📎 www.cell.com/cell-reports...
Uncovering combination therapies for immune-mediated inflammatory diseases through systems biology analysis on longitudinal patient data
Martínez-Mateu et al. develop a computational framework that uses longitudinal blood transcriptomes from patients with immune-mediated inflammatory diseases to prioritize combination therapies. They…
www.cell.com
November 12, 2026 at 8:13 AM
spearfish: ultrafast Δ-mapping of long reads to redundant transcriptomes https://www.biorxiv.org/content/10.64898/2026.11.05.764698v1
November 6, 2026 at 8:45 PM
scPolyA enables efficient, interactive and agent-guided alternative polyadenylation analysis in single-cell and spatial transcriptomes https://www.biorxiv.org/content/10.64898/2026.11.05.764757v1
November 9, 2026 at 11:47 AM
scPolyA enables efficient, interactive and agent-guided alternative polyadenylation analysis in single-cell and spatial transcriptomes #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.11.05.764757v1
November 9, 2026 at 2:01 PM
The Delta Gap: Cellular World Models for Perturbation Response Prediction Are Far Harder Than Global Correlation Implies

Junhui Gao

#arXiv #cs.AI #cs.LG
The Delta Gap: Cellular World Models for Perturbation Response Prediction Are Far Harder Than Global Correlation Implies
Cellular world models aim to predict how cells respond to genetic perturbations, analogous to world models in reinforcement learning. Perturbation response models are evaluated almost exclusively by global Pearson correlation between predicted and observed transcriptomes. We show this metric is dom…
arxiv.org
November 10, 2026 at 6:45 PM
Plant Single-Cell Metabolomics and Metabolite Imaging: Current Advances and Future Directions academic.oup.com/plcell/artic... @theplantcell.bsky.social
Plant Single-Cell Metabolomics and Metabolite Imaging: Current Advances and Future Directions
Abstract. Plants are multicellular systems composed of highly specialized cell types, whose distinct transcriptomes, proteomes, and metabolomes collectivel
academic.oup.com
November 7, 2026 at 11:08 PM
How can thousands of drug tests be profiled cell by cell?

Tahoe-100M profiles 100 million single-cell transcriptomes across 50 cancer cell lines under 1,100 drug-dose conditions, enabling low-batch, multiplexed mapping of drug-induced molecular phenotypes.

doi.org/10.1016/j.cell.2026.08.035
Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.
Cell · 4 new citations this week.
jclub.com.au
November 9, 2026 at 8:37 PM
spearfish: ultrafast Δ-mapping of long reads to redundant transcriptomes https://www.biorxiv.org/content/10.64898/2026.11.05.764698v1
November 6, 2026 at 8:45 PM
"I, Donald J. Trump, do hereby forbid the study of transcriptomes - because those people just want to steal our women's sports."
November 7, 2026 at 2:53 AM
New article: "Together, these findings show that RNA is organized differently within neurons depending on the brain compartment and biological sex under baseline conditions," authors write. Read the article to learn more about their findings: https://ow.ly/BZ7L50ZUtrH
Long-read RNA sequencing reveals sex-associated isoform distribution in soma and neuropil of the rat hippocampal CA1 - Biology of Sex Differences
Background Sex-associated differences in hippocampal function are well-recognized, yet the molecular mechanisms underlying these variations remain incompletely understood. In the CA1 region, the spatial organization of the transcriptome between the soma and neuropil supports local mRNA translation, a mechanism essential for synaptic plasticity. Using long-read direct RNA sequencing, we conducted a targeted comparison of the CA1 soma and neuropil transcriptomes between male and estrus-phase female rats. We investigated differences in isoform usage and transcript composition, including UTR...
ow.ly
November 11, 2026 at 4:00 PM
T cell transcriptomes in simulated microgravity in vivo https://www.biorxiv.org/content/10.64898/2026.11.01.763488v1
November 5, 2026 at 2:16 PM
T cell transcriptomes in simulated microgravity in vivo https://www.biorxiv.org/content/10.64898/2026.11.01.763488v1
November 5, 2026 at 2:16 PM
Additionally, we generated 252 transcriptomes across 63 species +/- IFN or virus RNA revealing conserved as well as order-, family-, and species-specific responses. This includes IRF3 as an ISG in Artiodactyla and loss of RIG-I in tenrec and short tailed opossums, among many others.
November 6, 2026 at 7:54 PM
Thanks! We fit a data dependent truncation model explicitly during the EM. That truncation model learns length dependent full length and 3’ and 5’ truncation probabilities. The model itself is noted in the supplement of our spearfish paper: www.biorxiv.org/content/10.6...
spearfish: ultrafast Δ-mapping of long reads to redundant transcriptomes
In a transcriptome, isoforms share most of their sequence, and gene families add further near-copies. Yet most long-read mappers treat each isoform as a separate target and repeat seeding, chaining an...
www.biorxiv.org
November 7, 2026 at 8:13 PM
Prefrontal cortex transcriptomes distinguish Alzheimers disease from asymptomatic amyloid pathology, neuropeptide loss, immune-complement activation and glial remodelling https://www.biorxiv.org/content/10.64898/2026.10.31.763276v1
November 3, 2026 at 7:47 AM