#transcriptomic

Molecular Biology & Evolutionmolbioevol@ecoevo.social
2025-05-29

Thompson et al. model gene expression as a binary trait to examine transcriptome turnover across Drosophila species, inferring gains and losses of organ-specific expression.

🔗 doi.org/10.1093/molbev/msaf106

#molbio #evobio #transcriptomic #drosophila

J of Systematics and EvolutionJSE@mstdn.science
2024-11-27

Understanding scale #insect #phylogenetics is critical to combating these #agricultural pests. Song et al. use #genomic and #transcriptomic data to construct a phylogenetic analysis of Hemiptera: Coccoidea.
doi.org/10.1111/jse.13141
@WileyEcolEvol
#evolution #CropSci #JSE

Phylogenetic analyses of Coccoidea based on genome-scale data.
2024-01-17

#Bamboo sp. Dendrocalamus brandisii is a valuable source of both #food and #wood. Jiang et al. combine #genomic, #transcriptomic, and #metabolomic analyses to help further the #development of this valuable resource.🔓⬇️🎍
doi.org/10.1111/jipb.13592
@wileyplantsci
#JIPB #PlantSci #botany

Decorative representation of a circular genomic analysis of Dendrocalamus brandisii, featuring an image of a shoot of the plant in the centre of the circle.
2023-12-05

Using #transcriptomic and population #genomic analyses, map-based #cloning, and functional characterizations, Ren et al. explore post-transcriptional #regulation of #grain weight and shape by the RBP-A-J-K complex in #rice
doi.org/10.1111/jipb.13583
@wileyplantsci
#JIPB #PlantSci #PlantScience #botany

Diagram to illustrate the functions of RBP-K, A, and J. RBP-K acts as a chaperone, enabling RBP-A and RBP-J to function normally, RBP-J most likely affects GA pathways, resulting in increased grain and panicle lengths, but decreased grain width and thickness, while RBP-A negatively regulates the expression of genes most likely involved in auxin-regulated pathways controlling cell wall elongation and carbohydrate transport.
katch wreckkatchwreck
2023-10-16

`Investigations..ascertain that the motors are non-toxic.. analysis affirms that the motors are not genotoxic.. studies in mice reveal that the motors show no signs of toxicity up to a dose of 55 mg/ kg body weight..biodistribution studies show that they remain in the blood circulation after injection and..possibly adhere to the walls of the blood vessel..we demonstrate the of in live cellular and organismal systems`

sciencedirect.com/science/arti

Stephen Matheson🌵🌲sfmatheson@fediscience.org
2023-08-28

Now Golnaz Vahedi from UPenn
vahedilab.com/
speaking on
"Modeling Type 1 #Diabetes progression from single-cell #transcriptomic measurements in #human #islets

Vision is to do #SingleCell profiling of #pancreatic cells and peripheral blood, simultaneously, to identify patients who can benefit from early interventions

nature.com/articles/s42255-022

#CSSingleCells23

2023-07-11

Large-scale across species #transcriptomic analysis identifies genetic selection signatures associated with #longevity in mammals

Organ-specific expression patterns of #methionine restriction and translation fidelity genes correlate with longevity in 103 #mammalian species

embopress.org/doi/full/10.1525

2023-06-30

🔓⬇️#OpenAccess #PlantScience for your weekend!
#Genomic, #transcriptomic, and #metabolomic analysis of Oldenlandia corymbosa reveals the #biosynthesis and mode of action of anti-#cancer metabolites.
doi.org/10.1111/jipb.13469
@wileyplantsci
#JIPB #PlantSci #medicine #PlantScience

Four-panel illustration: (A) (top left) photograph of Oldenlandia corymbosa showing plant morphology. (B) (top right) micrograph showing that UA causes mitotic catastrophe. (C) (bottom left) assembled high-quality Oldenlandia corymbosa genome. (D) (bottom right) UA protein targets.

#Cochlea #cell atlas built from single-cell sequencing discovers new cell types, uncovers hidden molecular features.

#genomics #transcriptomic #Emilin2 #mRNA

phys.org/news/2023-06-cochlea-

Christos Argyropoulos MD, PhDChristosArgyrop@mstdn.science
2023-06-05

And this simulation #rstats code, shows why one must use use very short seeds when using #blast to map #nanopore #transcriptomic #RNAseq data (Q10 quality scores are not unheard of, in such datasets).

Take home message, one has got to work for their database searches for long read platforms
(R code in the alt description)

## Rcode for the simulation

N<-100000
L<-4  ## length of an alphabet
alpha=seq(1:L)
q<-0.9 ## prob of true emission
p<-1/L ## prob of each letter

prob_true_seeding<-function(N,p,q,L,length_oligopolymer)
{ 
  truth<-sample(alpha,size=length_oligopolymer,
                prob=c(p,rep((1-p)/(L-1),L-1)),replace=TRUE)
  t<-paste(truth,collapse="")
  s<-replicate(N,paste(sapply(truth,function(x) {
    pos=which(alpha==x);
    prob=rep((1-q)/(L-1),L);
    prob[pos]=q;
    sample(alpha,size=1,prob=prob,replace=TRUE)
  }),collapse=""))
  mean(s==t)
}
## Posterior probability of a seed being a true one : seed with 5 ~ 0.59
prob_true_seeding(N,p,q,L,5)  
## Posterior probability of a seed being a true one : seed with 11 ~ 0.31
prob_true_seeding(N,p,q,L,11)
2023-05-08

High-resolution #transcriptomic and #epigenetic profiling identifies novel regulators of chronic obstructive pulmonary disease #COPD
Multi-omics resource of primary human lung #fibroblasts across COPD stages by Renata Jurkowska and coworkers at Cardiff University

embopress.org/doi/10.15252/emb

Schematic visualization of the article's synopsis
Christos Argyropoulos MD, PhDChristosArgyrop@mstdn.science
2023-04-23

Alright, #bioinformatics folk, which multiple sequence #alignment and #clustering packages should I add to my #transcriptomic @nanopore workflow?
Linclust, uclust/ cd-hit are candidates for clustering.
Candidates for MSA: clustal/kalign/hmmalign.
Other suggestions? #nanopore #sequencing

Arjan Boltjestinyspheresof
2023-04-06

Another Atlassing talk 😆, from Kimberly Siletti: cell-type diversity across the human .

Gene Ontologygo@genomic.social
2023-03-28

Don't miss this great #OpenAccess #review in @Non_Coding_RNA about #MicroRNA resources- it has a wonderful section about the contributions and use of the #GeneOntology for examining #transcriptomic data: DOI: 10.3390/ncrna9020018
---
RT @UCLgene
Fantastic to see my previous student, Diana Luna Buitrago, writing this great review of microRNA analysis tools: Insights into Online microRNA Bioinformatics Tools mdpi.com/2311-553X/9/…
twitter.com/UCLgene/status/163

Article title, authors and details
2022-12-23

12 #PhD positions in the LongTREC #European #MarieCurie Network - a programme that will develop methods and tools for the analysis of #transcriptomic data obtained with the most recent single-molecule, long-reads #sequencing technologies.

career.longtrec.eu/#section-jo

Gene Ontologygo@genomic.social
2022-12-13

Absolutely fantastic new paper from Marie Brasseur & @leeselab in @BioMedCentral featuring Gammarus fossarum - a wonderful demonstration of the #geneontology in use (thanks for the citation!) @VascoElbrecht @rksalis @weiss_martina @Daniel_G1978 #goannotation
---
RT @leeselab
New study by our @unidue team & @Leibniz_LIB on #multiplestressor impacts lead by Marie Brasseur 🎉. We herein focused on #transcriptomic analysis of the #freshwater k…
twitter.com/leeselab/status/16

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