🔥Time for my favorite bacterial lipid: 🦠Hopanoids!🦠 Our lab new preprint shows that a lipid's double bond position can affect hopanoid-lipid interaction, and consequently, net membrane properties!
Check out here for more:
A new method for purifying protein drugs, such as antibodies or insulin, is much less expensive than conventional approaches. “The goal is to reduce the cost so that this kind of drug manufacturing becomes affordable,” says Kripa Varanasi. https://t.co/XAppJsafBL
Happy to be back to a big in-person event like #ASHG2022. It feels familiar yet so different after the last 2 years. Here I am again, ready to learn and to make some great connections 😊#DolomiteBio
The Big Data Portal enables scientists worldwide to connect to the @bioturing server and analyze in real time the largest collections of #singlecell datasets. https://t.co/cmTBcxVh6W
IT IS OUT @NatureBiotech.
Super-sensitive #singlecell RNAseq with Smart-seq3. Full-length transcriptome and very deep phenptyping information. We all shouldn't use anything else from now on. Congrats @sandberglab!
https://t.co/934rk6e5fJ
Our preprint profiling host molecules related to SARS-CoV-2 infection in human lung tissue and epithelium - at gene and protein level - is now out.
@DrLindskog@ACDoxey@IPFdoc @sci_questions @Millerlab_atMac @MossmanLab @PollutionLab@McMasterU
https://t.co/EVkB6lZ1vp
You can now check our COVID-19 Cell Atlas online! https://t.co/RpmEJ4tEfL Great team effort to unravel the cell-specific expression of ACE2 and TMPRSS2 across human tissues @sangerinstitute@humancellatlas
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In light of the spread of SARS-CoV-2, we are sharing published and unpublished scRNA-seq datasets across both health and disease that harbor cells expressing ACE2 and TMPRSS2, which are critical for SARS-CoV-2 entry into host cells.
#scRNAseq revealed a progressive diverge in transcriptional profile of CAR-T cells in the blood from that of the infusion product (kudos to @AlyssaSheih, @ValentinVoillet & colleagues at @fredhutch)
The dataset is now indexed in BBrowser: https://t.co/l93fnuh9QP
Bechmarking #scRNAseq vs #snRNAseq in lung tissue.
1. Same number of genes and molecules when including intronic reads.
2. Less mitochondrial and housekeeping genes in snRNA.
3. Much more epithelial cells snRNA.
4. Much less immune cells in snRNA.
https://t.co/3szq8KgdpB
Clonotypic expansion of effector-like T cells not only in tumour tissue but also in normal adjacent tissues and peripheral blood associates with clinical response to cancer immunotherapy https://t.co/wGQQNu2WK6
A Herculean effort from Sarah Teichmann lab to profile 250K scRNA-seq (and scTCR-seq) of human thymi in human life stages. Great resource to learn T cell maturation and development. https://t.co/5DpvpKfaY8
Our work on T-cell lineage commitment and TCR recombination in the native thymic microenvironment across human lifespan is online! Fantastic team led by @park_jongeun, Sarah Teichmann, @Muzz_Haniffa and @taghon_t
https://t.co/2ni2H5lgv4
We're excited to release a #scanpy update for the analysis and visualization of #spatialTranscriptomics data, focussing on @10xGenomics Visium and MERFISH, thx @g_palla1. Tutorial at https://t.co/zDj2dWkHzp
Support for different data types and integration with #scRNAseq soon!
Multiple gene query will also be available in the upcoming version of BioTuring #Singlecell Browser, along with the #CITEseq plugin. Stay tuned!
Explore BioTuring Browser: https://t.co/l93fnuh9QP
#scRNAseq