🧬 We ran a survey on #mRNAseq to keep improving our services - with a chance to win a #Novogenoplushie 🐲✨
Congrats to:
Dr. Amanda Glaser-Schmitt, @lmumuenchen.bsky.social
@myriamnabhan.bsky.social, @ucddublin.bsky.social
And thanks to every entrant!
#Genomics #NGS #CustomerFeedback #Biotech #Pharma

For the round of experiments we most recently finished, when all is said and done, we will have blood and tissue metabolomics, scRNAseq of PBMCs, bulk mRNAseq of tissue, and histopath - plus point of care physiological data and cytokine panels. All that to say, we do way more than just metabolism 😁

We then used thermal proteome profiling to measure the perturbation of protein stability on induction with SBLs. Interestingly, we found perturbation in RNA processing and splicing effected on brief incubation SBLs. This was confirmed by mRNASeq and alternative splicing analysis.

🔬 Capture low-copy genes in your single-cell experiments 🧬

Lexogen's LUTHOR High-Definition Single-Cell 3′ #mRNASeq Kit detects low-abundance transcripts with high sensitivity 👉

https://www.bioscience.co.uk/cpl/luthor-3-mrna-seq-library-prep-kits-lexogen

#Genomics

Process more samples, faster, with Watchmaker mRNA Library Prep automated on the Biomek i7 Hybrid NGS Workstation.

✨ Faster workflows
✨ Reliable results
✨ More time to PARTY with your data

#AutomationNation #NGS #mRNASeq

Ji et al. used full-length ribosome–nascent chain complex–bound mRNAseq (FL-RNCseq) and an AI-based prediction model (FIONA2) to profile neoepitope landscapes, including large-scale transcript variants (LSTVs) often missed by short-read sequencing. bit.ly/40NJQyc

First-in-class conceptual mRNAseq analysis - LCS v2.2 (Win) with updated stats, boxplots, alternative IPs, logical IP filtering, synthesizing experiments by Z-score integration, etc. Analyze your count-sheets and listen to cool 1990's D&B (-> LCS icons). Pls report bugs 🙏
github.com/niethamp/Log...

Just two more manuscripts out, and I can finally get back to Logical Clustering. This is an innovative, experimentally-informed way for clustering gene expression data and logically integrating them with other mRNAseq exps and functional genomics and scRNAseq databases.
github.com/niethamp/Log...