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Cellenics® is an open-source analytics tool that allows you to gain insight into #scRNAseq data! Discover how we can provide you with a customized end-to-end solution for single-cell RNA sequencing data analysis here: bit.ly/3WCI3ta #singlecell

Integrated short- and long-read #scRNAseq analysis of murine haematopoietic stem and progenitor cells. go.nature.com/3MZ6Ep1 The analysis revealed that many genes, including key regulators of #haematopoiesis, are expressed as multiple isoforms. #singlecell #scRNAseq

Researchers explore cell-cell communication in normal brain and neurodegenerative disease by integrating #scRNAseq and #snRNAseq datasets. bit.ly/43GnNt7 For Alzheimer's disease, disease-specific ligand–receptor pairs, such as SEMA4A-NRP1, were identified. #singlecell

Defined basophil differentiation trajectory in mice! go.nature.com/3oIVCuN Additionally, researchers identified pre-basophils located between pre-basophil and mast cell progenitors and mature basophils during basophil differentiation. #singlecell #scRNAseq

Assessment of gastric signet ring cell carcinoma using #scRNAseq! go.nature.com/3MMTJVT GSRC exhibits unique cytological and immune microenvironment characteristics. For instance, signet ring cell carcinoma cells are enriched in oestrogen signalling pathways. #singlecell

Researchers investigate the transcriptomic landscape of triple-negative breast cancer and the relationship between T cells and clinical prognosis. bit.ly/3oLIPaY OPTN, TMEM176A, PKM and HES1 deserve attention as prognostic markers in this cancer. #singlecell #scRNAseq

A new blog post is out! Discover why single-cell atlases matter and what atlases are out there! Read here: bit.ly/3MVMJGq #singlecell #scRNAseq

Researchers used #scRNAseq to analyse physiologically normal GI tract and metaplastic conditions! bit.ly/3MRjfJr They suggest that intestinal metaplasia in the esophagus and stomach can be considered molecularly similar entities in adjacent organs. #singlecell

Join the user community for Cellenics® at bit.ly/3BJZMVI! Gain support for using Cellenics®, report bugs, request new features, and discuss anything related to #scRNAseq with other scientists! Log in using your usual Cellenics® credentials. #transcriptomics #singlecell

Researchers identify and annotate hub genes and their biological functions in acute ischemic #stroke and lung #adenocarcinoma. bit.ly/3oLnZIO CCNA2, CCNB1, CDKN2A, and CDK1 were highly expressed in AIS and LUAD tissue samples compared to controls. #singlecell

Remember that we have a blog post, where we take you through some of the key publicly available scRNA-seq resources and show you how to start searching for scRNA-seq public data! Read it here: bit.ly/41ZQHmT #singlecell #scRNAseq

We need your input to expand the Cellenics repository of scRNA-seq datasets! This repository allows you to easily explore public sc data (and it's free for academia). What scRNA-seq datasets do you want to see added to the repository? Tell us the GEO (or other) link!

Are you interested in an online course that will equip you with the knowledge and skills needed to analyze single cell RNA-seq data using a free web-based tool? More details here: courses.biomage.net Start learning with us today!

Get ready #Cellenics learners! We've just released TWO new lessons on exploring #scRNAseq data! Part 1: Unravel UMAP & t-SNE for effective visualization. Part 2: clustering and resolution selection. Start learning today: courses.biomage.net #Bioinformatics #DataScience

Discover the secrets of single cell RNA-seq data analysis in our latest blog post about our online course! ✅Tailored for biologists ✅Dive into data without coding using Cellenics® ✅Videos, PDFs & 1-2-1 support Read more: biomage.net/blog/cellenics… #scRNASeq #singlecell #Cellenics

"From novice to expert: The ultimate single-cell RNA-Seq analysis course" Dive deep into the world of bioinformatics without the coding hassle! Unlock the secrets of single cell data with our course. Read more: biomage.net/blog/cellenics… #scRNASeq #singlecell #Bioinformatics

Very proud to see #Cellenics open source tool and our team member German contribute to this ground-breaking pre-print article. A pleasure to work with Kevin & Quinn. Read more about it in our featured blog post: biomage.net/blog/periodont… Congrats to all involved!

Our team are delighted to join Parse Biosciences!! By combining Parse's scalable combinatorial barcode technology with Biomage team's expertise in cloud-based data analytics, we're certain that there's an exciting future ahead for #singlecell #bioinformatics :)