Research featuring smartphone glucose sensing featured in SLAS Technology Vol. 40

Oak Brook, IL – Volume 40 of SLAS Technology includes one review, seven original research articles, and entries from the Special Issue on Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions.

Review

• AI/ML-Enabled Multi-Omics Integration of Host Genetics, Immunity, and the Gut Microbiome in Crohn’s Disease: From Diagnosis to Theranostics
  This review examines how AI and machine learning integration of genomics, proteomics, transcriptomics, metabolomics and microbiome data is advancing biomarker discovery, diagnosis and personalized treatment for Crohn’s disease, while noting the need for standardized frameworks and interpretable models.

Original Research

• Miniaturization of a Lumit p-ERK Immunoassay for Cell-Based High-Throughput Screening of a Chemogenetic Small-Molecule Library
  The authors adapted a bioluminescent immunoassay to 384- and 1,536-well formats to detect endogenous MAPK/ERK signaling, validated through screening of ~7,000 annotated compounds enriched for MEK, ERK, BRAF and PKC inhibitors.
• EasyPip: An Equipment-Agnostic Software Application to Transform Automated Liquid Handlers Into Efficient Walk-Up Tools for Routine Plate-Based Pipetting
  Researchers developed EasyPip: a proprietary, programming-free application that enables lab associates to configure plate-based pipetting tasks across Tecan, Hamilton, and Beckman-Coulter Life Sciences platforms, reducing idle time and lowering barriers to flexible lab automation.
• Identification of Ubiquitination-Related Biomarkers in Osteoarthritis: Combining Transcriptome and Mendelian Randomization Analysis
  Using an integrated approach combining Mendelian randomization, immune infiltration, and single-cell analysis, the authors identified CBLB and NQO2 as causal ubiquitination-related biomarkers, with pre-hypertrophic chondrocytes as key cells and potential targets for personalized treatment.
• Smartphone-Based Colorimetric Glucose Biosensor Using Peroxidase-Like Activity of Bimetallic Catalyst Supported onto Graphitic Carbon Nitride Nanosheets
  Researchers have developed a smartphone-based colorimetric platform for sensitive glucose detection using bimetallic cobalt-nickel modified graphitic carbon nitride (Co-Ni/g-C3N4) nanoparticles as peroxidase-mimicking nanozymes for point-of-care monitoring.
• XVCF: Exquisite Visualization of VCF Data from Genomic Experiments
  The authors developed XVCF: A user-friendly, GUI-based tool for visualizing and summarizing Variant Call Format (VCF) and ANNOVAR-annotated genetic data, including cancer mutation plots, without requiring command-line expertise.
• An Adaptable Microplate-Integrated Purification Workflow Tailored for High-Throughput Automated Parallel Amide Syntheses
  The authors present their high-throughput purification workflow using custom mixed-bed ion-exchange and silica filter plates that delivers >90% purity for a 24-member amide library, offering a faster, solvent-efficient alternative to mini-prep HPLC.
• Spatial Transcriptome and Single-Cell Reveal the Role of Sorbitol Metabolism in Hepatocellular Carcinoma Progression and Tumor Microenvironment
  Single-cell and spatial transcriptomics revealed that ALDH3A1+ malignant cells with high sorbitol metabolism scores drive immune evasion and localize at the tumor invasive front, supporting a prognostic model and Irofulven as a potential targeted therapy.

Special Issues

• Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions
  This Special Issue on systems genetics examines gene and molecular interaction networks, utilizing high-throughput sequencing and multi-omics technologies to understand how genetic networks influence phenotypes. It emphasizes the significance of personalized medicine, therapeutic target discovery and biomarker identification through integrated genomic and epigenomic approaches.

All active SLAS Discovery and SLAS Technology call for papers are available at: https://www.slas.org/publications/call-for-papers/

This volume of SLAS Technology is available at https://www.slas-technology.org/issue/S2472-6303(26)X2003-9

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SLAS Technology reveals how scientists adapt technological advancements for life sciences exploration and experimentation in biomedical research and development. The journal emphasizes scientific and technical advances that enable and improve:

• Life sciences research and development
• Drug delivery
• Diagnostics
• Biomedical and molecular imaging
• Personalized and precision medicine

SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.

SLAS Technology: Translating Life Sciences Innovation, 2025 Impact Factor 3.7. Editor-in-Chief Edward Kai-Hua Chow, PhD, KYAN Technologies, Los Angeles, CA (USA).

 

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