Zhidong Zhang

Heterogeneity of solid tumors, composed of different cells spatially organized… Tumor ecosystems vs. cell autonomy… Including extracellular matrix…

2

If you're in Boston on Dec 10-12, come listen to Chuhern Hwang at Wayfinder Biosciences talk about how to use novel RNA binders for drug discovery!

2

Large structural variants are particularly important in the diagnosis of and therapy selection for hematological malignancies. Dr. Liu will showcase how CytoTerra can identify these variants at high resolution from fresh-frozen and FFPE specimens. If you're at #ASHG24, come find out how CytoTerra can fit into your workflow!

20

1 Comment

Today in @Pharmaphorum, I explain how advances in genomic sequencing technology are opening new avenues for cancer research. 📰 Highly accurate short-read sequencing is unlocking the potential of liquid biopsies in cancer research. This non-invasive method can detect cancer before symptoms appear, track residual disease, and support ongoing cancer screening. 🔍 Learn more by reading the full piece here. 👉 https://bit.ly/4bLFdZW #Genomics #PacBio #CancerResearch

24

Without automation, it will be hard for all those new NGS users to get reliable performance. And at only 20 tests/week, it's hard to justify the CapEx and other fixed costs of automation. If only there were a more convenient and reliable way to automate molecular workflows than a big liquid handler...

5

2 Comments

New podcast episode 👇 Get your headphones ready for another great biotech conversation!

13

Enable deeper insights of 3D cell models for enhanced drug assessment with the combined workflow of Live-Cell Analysis and High-Throughput Screening (HTS) by Cytometry. This powerful duo offers a comprehensive assessment of anti-HER2 ADC activity in both single and multi-spheroid models, providing unparalleled insights into the efficacy of novel ADCs. Learn more: https://ow.ly/82ru50Rji15 #AntibodyDrugConjugates #ADCs #3DSpheroids #DiseaseModels #LiveCellAnalysis

20

Enable deeper insights of 3D cell models for enhanced drug assessment with the combined workflow of Live-Cell Analysis and High-Throughput Screening (HTS) by Cytometry. This powerful duo offers a comprehensive assessment of anti-HER2 ADC activity in both single and multi-spheroid models, providing unparalleled insights into the efficacy of novel ADCs. Learn more: https://ow.ly/ugR450RnA5E #AntibodyDrugConjugates #ADCs #3DSpheroids #DiseaseModels #LiveCellAnalysis

18

2 Comments

And...Another One :) Very proud of the SimBioSys, Inc. R&D Team for another peer reviewed publication in #Nature npj Systems Biology and Applications showcasing our ability to digitally interrogate patient specific sensitivity to targeted therapies. This foundational methodology allows us to leverage standard -omics data to deepen our understanding of mechanisms of response, resistance for the most complex targeted therapies - bringing further precision to cancer care. Kudos to the work done by our founding scientist John C. and our Precision Medicine Team. #redefiningprecisionmedicine #changingthewayweunderstandandtreatcancer https://lnkd.in/gG4r8zVY

82

2 Comments

New hope in #Cancer treatment! Scripps Research team identifies potential targets for future cancer drugs using an innovative protein-mapping approach. Findings may enable researchers to create more precise therapies to stop cell multiplication. Quick Read: https://lnkd.in/gA_kxkdQ #Bioinformatics #CancerResearch #DrugDiscovery #ScienceNews #biotechnology

16

If you're attending #FBLD in Boston, come over to our posters and chat about Domainex's approaches to fragment and covalent fragment screening, biophysics and all things drug discovery. #fragment #drugdiscovery #covalent #biophysics

61

PRISM: Small Molecule Foundation Model   PRISM is a foundation model trained on 1.2 billion small molecule mass spectra to enhance mass spectrometry analysis in drug discovery. It uses self-supervised learning to predict molecular properties from complex mixtures without prior annotations, significantly advancing the field of metabolomics. The model improves the identification and understanding of largely unknown natural molecules, accelerating the discovery of new therapeutics by leveraging massive, previously untapped spectral data.

5

Very interesting work to define heterogenous RNA LNP populations and distinguish of size. Those findings can be further used for scale up for consistency manufacturing processes Single-Particle Spectroscopic Chromatography Reveals Heterogeneous RNA Loading and Size Correlations in Lipid Nanoparticles Lipid nanoparticles (LNP) have emerged as pivotal delivery vehicles for RNA therapeutics. Previous research and development usually assumed that LNPs are homogeneous in population, loading density, and composition. Such perspectives are difficult to examine due to the lack of suitable tools to characterize these physicochemical properties at the single-nanoparticle level. Here, we report an integrated spectroscopy–chromatography approach as a generalizable strategy to dissect the complexities of multicomponent LNP assembly. Our platform couples cylindrical illumination confocal spectroscopy (CICS) with single-nanoparticle free solution hydrodynamic separation (SN-FSHS) to simultaneously profile population identity, hydrodynamic size, RNA loading levels, and distributions of helper lipid and PEGylated lipid of LNPs at the single-particle level and in a high-throughput manner. Using a benchmark siRNA LNP formulation, we demonstrate the capability of this platform by distinguishing seven distinct LNP populations, quantitatively characterizing size distribution and RNA loading level in wide ranges, and more importantly, resolving composition-size correlations. This SN-FSHS-CICS analysis provides critical insights into a substantial degree of heterogeneity in the packing density of RNA in LNPs and size-dependent loading-size correlations, explained by kinetics-driven assembly mechanisms of RNA LNPs.

288

8 Comments

More insights into our understanding of molecular mechanisms regulating the differentiation and function of human Tfr cells.

20

In the latest edition of "Huh, I didn't expect that to work", our latest paper reveals that Large Language Models like GPT-3 and GPT-4 can outperform existing methods for identifying causal genes in genome-wide association studies. Check out the paper here: https://lnkd.in/gW8BNcjN.

186

5 Comments