SLAS2024 Pre-Reads

SLAS2024 in Boston, February 3-7, will feature scientific sessions in nine tracks delivered by a diverse group of scientists, academic researchers and industry professionals from around the world. 
For a sample of what SLAS2024 has in store for you, the editors of SLAS Discovery and SLAS Technology have curated this article collection of pre-reads for SLAS2024. The articles are organized by each of the nine tracks: 

Assay Development and Screening 

• Automated algorithm development to assess survival of human neurons using longitudinal single-cell tracking: Application to synucleinopathy 
• Evolution and impact of high-content imaging 
• High-throughput method to analyze the cytotoxicity of CAR-T Cells in a 3D tumor spheroid model using image cytometry 
• Application of human iPSC-derived macrophages in a miniaturized high-content-imaging-based efferocytosis assay 
• A high-throughput MALDI-TOF MS biochemical screen for small molecule inhibitors of the antigen aminopeptidase ERAP1 
• Multiplexed experimental strategies for fragment library screening against challenging drug targets using SPR biosensors 
• Protocol for 3D screening of lung cancer spheroids using natural products 
  
  
  

Automation Technologies 

• Towards robotic laboratory automation Plug & play: Survey and concept proposal on teaching-free robot integration with the lapp digital twin 
• Digital microfluidics as an emerging tool for bacterial protocols 
• Mera: A scalable high throughput automated micro-physiological system 
• Detection and impact of hypoxic regions in multicellular tumor spheroid cultures formed by head and neck squamous cell carcinoma cells lines 
• In Vitro three-dimensional (3D) cell culture tools for spheroid and organoid models 
  
  
  

New Modalities 

• In vitro delivery of mTOR inhibitors by kidney-targeted micelles for autosomal dominant polycystic kidney disease 
• Targeting RNA with Small Molecules: Identification of Selective, RNA-Binding Small Molecules Occupying Drug-Like Chemical Space 
• Development of assays to support identification and characterization of modulators of DExH-box helicase DHX9 
• Graph neural networks for the identification of novel inhibitors of a small RNA 
• Fragment-based screening: A new paradigm for ligand and target discovery 
• Development of a high-throughput TR-FRET screening assay for LAG-3/FGL1 interaction 
• Characterization of allosteric modulators that disrupt androgen receptor co-activator protein-protein interactions to alter transactivation–Drug leads for metastatic castration resistant prostate cancer 
• Nanobodies: A Game-Changer in Cell-Mediated Immunotherapy for Cancer 
  
  

Precision Medicine & Diagnostics 

• An Optical Approach for Cell Pellet Detection 
• High-throughput differential scanning fluorimetry (DSF) and cellular thermal shift assays (CETSA): Shifting from manual to automated screening 
• Deep phenotyping of surface stimulatory and inhibitory co-receptors on cancer-resident T and NK cells reveals cell subsets within the tumor-reactive CTL population that are uniquely defined by NKG2A expression 
• DeepTI: A deep learning-based framework decoding tumor-immune interactions for precision immunotherapy in oncology 
• Mass spectrometry-based proteomics of 3D cell culture: A useful tool to validate culture of spheroids and organoids 
• The Vital Role of Proteomics in Characterizing Novel Protein Degraders 
  
  

• A rapid, high-throughput, viral infectivity assay using automated brightfield microscopy with machine learning 
• Data driven health monitoring of Peltier modules using machine-learning-methods 
• A sticky-end probe biosensor for homogeneous detection of transcription factor binding activity 
• Improving protein therapeutic development through cloud-based data integration 
• deepOrganoid: A brightfield cell viability model for screening matrix-embedded organoids 
• Using chemical and biological data to predict drug toxicity 
• Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening 
• FocA: A deep learning tool for reliable, near-real-time imaging focus analysis in automated cell assay pipelines 
• Deep Learning Image Analysis of High-Throughput Toxicology Assay Images 

Cellular Technologies 

• Advances in tissue engineering of cancer microenvironment-from three-dimensional culture to three-dimensional printing
• Point-of-use, automated fabrication of a 3D human liver model supplemented with human adipose microvessels
• A phenotypic screen for compounds that reverse cAMP-mediated suppression of T-Cell functions
• In Vitro three-dimensional (3D) cell culture tools for spheroid and organoid models
• Protocol for 3D drug sensitivity and resistance testing of patient-derived cancer cells in 384-well plates 

Micro-Nano Technologies 

• Bioprinting the future using light: A review on photocrosslinking reactions, photoreactive groups, and photoinitiators 
• Biomedical applications of nanodiamonds: From drug-delivery to diagnostics 
• Recent progress of 4D printing in cancer therapeutics studies 
• Advances in tissue engineering of cancer microenvironment-from three-dimensional culture to three-dimensional printing 

Omics 

• Traceable impedance-based single-cell pipetting, from a research set-up to a robust and fast automated robot: DispenCell-S1 
• Sample–to-answer sensing technologies for nucleic acid preparation and detection in the field 

Advances in Bioanalytics & Biomarkers 

• Multiplex digital microfluidics using serial controls and its applications in glucose sensing 
• Automated Measurement of Transepithelial Electrical Resistance (TEER) in 96-Well Transwells using ECIS TEER96: Single and Multiple Time Point Assessments 
• Automated glycan-bead coupling for high throughput, highly reproducible anti-glycan antibody analysis 
• Label-free high-throughput screening via acoustic ejection mass spectrometry put into practice