Junbin Qian

116 posts

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Junbin Qian

Junbin Qian

@JunbinQian

MD PhD, Research Professor. Chromosomal instability, tumor microenvironment and their therapeutic targeting across cancer types.

Hangzhou, China Katılım Ağustos 2010
217 Takip Edilen123 Takipçiler
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Junbin Qian
Junbin Qian@JunbinQian·
Butyrate produced by gut bacteria is known to play key roles for cancer prevention by regulating cancer&immune cells. We identified a novel butyrate target, namely SULF1+ cancer-associated fibroblasts, which promote colorectal cancer progression. @CR_AACR doi.org/10.1158/0008-5…
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Junbin Qian
Junbin Qian@JunbinQian·
Determining "over-correction" of single-cell data integration is an unmet need. We found the stably expressed "housekeeping genes" can be used to identify over-correction, our RBET tool can provide assurance for multi-omics research with big integration. nature.com/articles/s4200…
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Adrian Saurin
Adrian Saurin@AdeSaurin·
Delighted to share a chemical-genetic system we developed to rapidly inhibit a serine/threonine phosphatase complex (within secs). This will make it much easier to study #phosphatases. The system is also applicable to other “undruggable” enzymes. nature.com/articles/s4146…
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Junbin Qian
Junbin Qian@JunbinQian·
Our recent study identified RIPK2, which mediates MHC-I degradation, as a promising immunotherapy target for pancreatic cancer. #PDAC Power of CRISPR screening and single-cell analysis, happy collaboration with YH Liu, D Wang and H Jiang #Cancer_Discovery doi.org/10.1158/2159-8…
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@DiLa_lab
@DiLa_lab@LambrechtsDlab·
Check out our latest story on how we use single-cell data to discover novel stromal cell phenotypes prognostic for ovarian cancer patients ! Collaborative effort with olbrecht & Vergote @UZLeuven
Genome Medicine@GenomeMedicine

New in Genome Medicine: Olbrecht, @LambrechtsDlab, Vergote and colleagues - using scRNA-seq to identify stromal cell phenotypes -predicts overall survival in high-grade serous tubo-ovarian #cancer patients @vib_ccb, KU Leuven bit.ly/3kftniM

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Tirosh Lab
Tirosh Lab@TiroshLab·
We're excited to share our newly published pan-cancer analysis of EMT by Mike Tyler. By integrating single-cell and bulk RNA-seq data, we could characterise EMT and its clinical significance across cancer types, controlling for the presence of stroma. 1/6 nature.com/articles/s4146…
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Aibin He
Aibin He@AibinHe·
Congrats to Haiqing, Yingjie, and Qianhao! Excited to share our recent work just online @naturemethods, presenting a single-cell multiomics tech assaying both chromatin occupancy and RNA and enabling higher-dimensional epigenomic reconstructions.@scell_papers @epigen_papers
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Junbin Qian
Junbin Qian@JunbinQian·
@AndreaMusacchi1 a time when news provides a story and many links, but don't care if readers click
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Junbin Qian
Junbin Qian@JunbinQian·
Why not all breast cancer patients respond to immunotherapy? Check out our latest dataset showing single-cell immune dynamics after a single-dose of anti-PD1 treatment, various phenotypes and biomarkers associated with T cell expansion. Thanks to @LambrechtsDlab & collaborators!
Nature Medicine@NatureMedicine

Transcriptomic and proteomic profiling of #breastcancer biopsies identifies baseline features of the tumor immune microenvironment associated with T cell clonal expansion following neoadjuvant anti-PD-1 treatment. nature.com/articles/s4159… #THPT21 @LambrechtsDlab @vib_ccb

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Daniel V Brown
Daniel V Brown@dvbro0·
After a poor first run of 10x Genomics multiome kit I went back and optimised my nucleus isolation. The Nuclei EZ Prep Kit is indeed better than making the lysis buffer according to 10x Genomics recipe. I'm usually a cheapskate so tend to avoid commercial buffers.
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@DiLa_lab
@DiLa_lab@LambrechtsDlab·
Our dataset of dynamic changes in immune cells at single-level in breast cancer receiving anti-PD1 treatment is out now. Thanks to our collaborators @UZLeuven, and totally convinced these findings will have impact on cancer patients. @VIBLifeSciences @KU_Leuven
Nature Medicine@NatureMedicine

Transcriptomic and proteomic profiling of #breastcancer biopsies identifies baseline features of the tumor immune microenvironment associated with T cell clonal expansion following neoadjuvant anti-PD-1 treatment. nature.com/articles/s4159… #THPT21 @LambrechtsDlab @vib_ccb

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10x Genomics
10x Genomics@10xGenomics·
Dr. Diether Lambrechts of KU Leuven is sharing his insights about using #singlecell immune profiling technology to uncover the cellular, molecular, and inflammatory features of mild and severe #COVID19. Find out more in this upcoming webinar: bit.ly/3ow3wBj
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