Top Tweets for #transcriptomic
Scaling up drug screens brings up a host of new challenges.
Watch our talk at the DDN Symposium to learn about a scalable #transcriptomic screening solution designed to deliver more informative datasets at lower cost for high-throughput #DrugDiscovery: https://t.co/ob5blLa8a2
📷NEW PUBLICATION ALERT!
New open-access research in #BMC Genomics: “#Transcriptomic signatures of high-intensity pyrethroid #resistance in #Anopheles #gambiae from a #Cameroonian agricultural hotspot” by @Arnaud_Tepa & al. Read more 👉👉 https://t.co/pMMawtsb2a
@BioMedCentral
How can you reduce #DrugDiscovery failure rates?
Drug screens help prioritize promising compounds, but conventional tools slow you down and miss key data. Explore a high-throughput #transcriptomic solution for confident drug discovery at the DDN Symposium: https://t.co/QWGzEoJQc5
Expanding your #DrugDiscovery efforts?
Conventional #transcriptomic methods can slow you down with low throughput, high costs, and data dropouts. Discover a scalable and cost-effective tool for large drug screens at the 2026 DDN Symposium talk: https://t.co/GT1XVp0fe0
🥳#New Special Issue: open for submission
📔Title: #Vegetable and #Fruit #Resilience Under Stress: A Deep Dive into #Transcriptomic Responses.
🎓Guest Editors: Dr. Chao Gao and Dr. Pengfei Wang.
👉More Information: https://t.co/mxjhMrQtSW
#MDPI #horticulture #science
What if your RNA-Seq data had a built-in truth benchmark? 🔬Spike-in controls help calibrate abundance, detect bias & benchmark isoform detection — turning RNA-Seq into quantitative confidence.
Learn more 👇
https://t.co/KxsG9ETjwQ
#RNASeq #NGS #Transcriptomic
Accelerate #singlecell gene expression research with high-res 3' GEX #scRNA-seq. We deliver scalable #transcriptomic profiling with expert support - sample prep to analysis.
#Genomics #NGS #Bioinformatics #LifeSciences #Biotechnology #PrecisionMedicine https://t.co/lb2D1pyvEj
Researchers including Dr. Pura Muñoz-Cánoves present a single-cell #transcriptomic atlas in @Dev_Cell, coupled with spatial profiling, of mouse limb #SkeletalMuscle under resting conditions and during experimentally induced atrophy or hypertrophy.
🔓 https://t.co/5BQyngqGRr
You Only Train Once: Differentiable Subset Selection for Omics Data
Daphné Chopard, Jorge da Silva Gonçalves, Irene Cannistraci, Thomas M. Sutter, Julia E Vogt.
Action editor: Pan Xu.
https://t.co/aosm9Lqi0M
#transcriptomic #predicts #predictive
Time-Course #Transcriptomic Analysis of Early Host Responses to Oral SfMNPV Challenge in #Spodopterafrugiperda Larval #Midgut
👉Open Access: https://t.co/qyv5exUQOr
#mdpiinsects #SfMNPV #transcriptome
NOVA proteins as key regulators of alternative splicing and circular RNA regulation.
In #G3journal, read about the #transcriptomic and mutant analyses showing the regulations of age-associated circular RNAs by RNA-binding protein NOVA-1 in #Celegans.
🔗 https://t.co/oiEnjSWns9
Losing neural insights at library prep?
Minimize loss, detect low-abundance transcripts & uncover #transcriptomic insights to decode neural disease mechanisms. For sensitive data from 10 pg–100 ng RNA & intact cells, use SMART-Seq® #mRNA kits. Read tech note: https://t.co/Lq647sYxkb
Scientists sought to determine whether intrinsic biological characteristics of carrier MSCs influence therapeutic outcomes. 🥼
They performed #transcriptomic profiling on MSCs from responder/non-responder patients. 🧬
Read about their findings: https://t.co/vSFgRO1Wc3
Doing the analysis myself... I am happy to learn the RNAseq analysis. Learning from mistakes is where you gain your experience. #rnaseq #bioinformatics #multiplemyeloma #transcriptomic
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics
https://t.co/xfg0zNRG6z
#genomics #rna #transcriptomic
🔖#ZR new paper out:
Dynamic #single-nucleus #transcriptomic profiling of kidney development in Bamaxiang #pigs and wild #boar
DOI: 10.24272/j.issn.2095-8137.2025.121
Mechanisms Responsible for Larval Diapause in #Anastatusjaponicus Ashmead, Shown by Integrated #Transcriptomic and #Proteomic Analyses
👉Open Access: https://t.co/xhn1NtlGVP
📚included in the Special Issue "Recent Studies on #ResourceInsects"
#mdpiinsects
Fruiting body (pileus) development in edible #fungi is shaped by many genetic factors. 🍄 🍽️
A new #transcriptomic analysis tracks pileas throughout development, identifying the molecular framework underlying its morphogenesis.
Read more in #G3journal: https://t.co/X5YjxlTsBW
Insect-Resistant Variety Populus deltoides ‘Shalinyang’ May Decrease #Anoplophoraglabripennis Females’ Fecundity by Suppressing the Serine/Threonine Kinase AglaAkt Gene
👉Open Access: https://t.co/nwHQUq9ANN
#mdpiinsects #transcriptomic #reproduction
#Molecular mechanisms underlying the #inhibition of #Sparassis latifolia #mycelial growth by #cycloleucine: a comprehensive #transcriptomic and #m6A methylome analysis
https://t.co/HZPEPZPwxw
@tandfonline
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