Rancho Publications

PI3Kα inhibitor and degrader inavolisib can co-opt FGFR2 to enhance responses in patients with PIK3CA mutated solid tumors and in preclinical models

PIK3CA mutations activate PI3Kα signaling in many solid tumors, but resistance limits inhibitor efficacy. Inavolisib, a selective PI3Kα inhibitor and degrader, enhances responses by co-opting FGFR2 signaling, offering a new approach for PIK3CA-mutant cancers.

This article is reproduced from the AACR American Association for Cancer Research Journals.

Access the original publication; [PI3Kα inhibitor and degrader inavolisib can co-opt FGFR2 | Page 1 | Search Results | American Association for Cancer Research]

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Rare Disease-Target Gene Treatment Knowledge Mining Partnership between Rancho BioSciences (Rancho) and Rady Children’s Institute for Genomic Medicine (RCIGM)

The Genome-to-Treatment platform is a knowledge-mining solution by RCIGM and Rancho BioSciences to accelerate individualized therapy for rare genetic disorders in critical infants. It curates public data sources to link gene-disease combinations to existing treatments. This process has reviewed 700 gene-disease combinations and yielded over 10,000 potential interventions for review, mitigating intervention delays in pediatric patients.

Poster: ICoNS, 2025

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High-Resolution Single-Cell RNA-seq Autoimmune Atlas for Cellular Characterizationand Target Discovery in Rheumatoid Arthritis and Systemic Lupus Erythematosus

The Nucleome-Rancho Autoimmune Atlas is a high-resolution, integrated scRNA-seq resource of 1 million cells from Rheumatoid Arthritis (RA) and Systemic Lupus Erythematosus (SLE) patients. It uncovers shared and tissue-specific cellular signatures to accelerate drug target discovery.

Poster: BioTechX EU, 2025

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Integrating Bioinformatics and Metadata Harmonization Pipelines to Ensure High-Quality, AI-Ready Datasets in the Single-Cell Data Science Consortium Initiative

Rancho BioSciences’ Single-Cell Data Science Consortium (SCDS) initiative delivers high-quality, AI-ready single-cell datasets and atlases to accelerate drug discovery—offering standardized, deeply-annotated data for new insights into cellular heterogeneity across various conditions like cancer and autoimmune diseases.

Poster: BioTechX EU, 2025

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OncoDM and Spatial Innovation Initiatives Provide High-Quality, F.A.I.R. and AI-Ready Data to Fast-Track Drug Discovery Insights

Rancho BioSciences’ OncoDM and Spatial Innovation Initiatives deliver high-quality, F.A.I.R., AI-ready datasets to accelerate drug discovery—offering harmonized, analysis-ready oncology and spatial transcriptomics data for faster, deeper insights.

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Leveraging Metadata and Sample Data Harmonization
Pipelines to Ensure High-Quality Datasets in the
Single-Cell Data Science Consortium Initiative

Rancho BioSciences’ SCDS2 initiative delivers harmonized, AI-ready single-cell datasets and atlases across disease areas—accelerating reproducible science and therapeutic discovery through expert curation, automation, and ontology alignment.

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Uncovering Cellular Insights in Neonatal Sepsis

This study leveraged our expertise in single-cell RNA sequencing and subsequent data analysis. This work was crucial in dissecting the diverse phenotypes and functions of IL-27–producing cells in the liver during gram-negative neonatal sepsis, allowing for the identification of specific cell populations and their unique gene expression patterns.

This article is an Open Access publication distributed under the terms of the Creative Commons Attribution License (CC BY 4.0). Original work by Jordan K. Vance et al., published in ImmunoHorizons, 2025. Available for unrestricted reuse, distribution, and reproduction, provided the original work is properly cited. Learn more about the license at https://creativecommons.org/licenses/by/4.0/.

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NOTCH1 reverses immune suppression in small cell lung cancer through reactivation of STING

A recent publication in The Journal of Clinical Investigation, developed in collaboration with scientists at a leading biopharma organization, explores how high NOTCH1 expression can re-engage STING signaling—potentially shifting immune-cold SCLC tumors toward a more immune-active state. A promising step forward in understanding how to expand the reach of immunotherapies.

This article is reproduced from the Journal of Clinical Investigation, published under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Kim, Y. S., Shames, D. S., & Roper, N. (2025). NOTCH1 reverses immune suppression in small cell lung cancer through reactivation of STING. J Clin Invest. Access the original publication: https://doi.org/10.1172/JCI185423

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Bringing Together Multi-Omics and Real-World Data to Accelerate Insight Delivery for Biomarker Discovery and Drug Development

In this on-demand webinar, we dive into the challenges of integrating and leveraging diverse multi-omics and real-world data (RWD). These data silos often hinder progress from discovery to patient impact.

Discover how Rancho Biosciences and Sapient have partnered to build a cutting-edge data lakehouse infrastructure. This robust, harmonized, and AI/ML-ready foundation is designed for multi-omics and RWD, shaping the future of patient treatments and outcomes by accelerating biomarker discovery and drug development. Learn how this integrated approach can empower your research and lead to faster, more impactful scientific breakthroughs.

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Enhancing Biomedical Data FAIRification by Streamlining Data Harmonization with a Terminology Management Solution

The Terminology Management Solution (TMS) accelerates biomedical data FAIRification by automating the standardization and harmonization of complex, domain-specific terms.

Supporting over 40 biomedical ontologies, allowing you to upload custom ontologies—offering unmatched flexibility.

Enhanced with AI-assisted and fuzzy phonetic mapping, achieve 30% more high-quality matches and reduced curation time by 500+ hours in real-world projects.

Poster: BioIT World Conference and Expo, 2025

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Accelerating pipeline impact across therapeutic areas!
Rancho Biosciences Single-Cell Data Science Consortium Enables Accelerated Discovery With 100-Million AI- And Analysis-Ready Single-Cells

Leveraging AI-ready, harmonized single-cell datasets to accelerate therapeutic discovery.

Our Dermatitis and IBD atlas showcases validated and novel therapeutic targets. Explore how large-scale single-cell integration is transforming biomarker discovery and drug development!

Poster: BioIT World Conference and Expo, 2025

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From Raw Data to Discovery: An AI Mapping Tool Powers Single-Cell Atlases and Searchable Databases

What if you could unlock deeper insights from your data with unprecedented accuracy and speed? Introducing TMS vNext, the most advanced version of Rancho BioSciences' Terminology Management Solution (TMS). Building on years of expert curation and our trusted algorithms, vNext represents a significant leap forward in biomedical term mapping for researchers, data scientists, and bioinformatics teams.

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Bringing Together Multi-Omics and Real-World Data to Accelerate Insight Delivery for Biomarker Discovery and Drug Development

Improve the integration and analysis of multi-dimensional datasets to support drug discovery and development.

We share how Sapient Bioanalytics is working with Rancho to build a data lakehouse that combines proprietary multi-omics and real-world datasets, leveraging novel data harmonization and curation approaches to optimize utilization of the data to power biomarker discovery and drug development.

In this poster we detailing how Sapient is leveraging the data lakehouse for discovery.

Poster: BioIT World Conference and Expo, 2025

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Leveraging Metadata and Sample Data Harmonization Pipelines to Ensure High-Quality Datasets in the Single-Cell Data Science Consortium Initiative

How metadata and sample data harmonization pipelines were leveraged to successfully complete a 3-year initiative of cataloging, curating and delivering more than 1,000 single cell datasets from over 800 publications

We present our data ingestion workflow, cataloging and prescreening steps. We also outline Rancho’s custom data model that harmonizes disparate metadata across 83 attributes creating analysis-ready datasets and facilitating inter- and intra-dataset comparisons

Poster: BioIT World Conference and Expo, 2025

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Automated Extraction of Biotransformation Data from Metabolic Schemas Using Geometric Criteria and Large Language Models

Discover how we're revolutionizing the digitization of biotransformation data. This poster, a collaboration with Procter & Gamble, details a novel pipeline combining geometric criteria and Large Language Models to automatically extract metabolic pathways from complex schemas, enabling faster, more accurate data analysis for improved safety assessments and predictive modeling.

Poster: Society of Toxicology 64th Annual Meeting, 2025

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A Comprehensive Dataset of Pharmacokinetic Parameters for Recommended Doses of Drugs:
Enabling Drug Repositioning and Pharmacological Analysis

Discover a unique dataset of pharmacokinetic parameters for over 600 drugs, designed to bridge the gap between in vitro efficacy and in vivo dosage. This poster details how this centralized resource, developed in collaboration with NCATS, facilitates drug repositioning and pharmacological analysis by providing crucial connections between PK properties, molecular descriptors, and recommended doses.

Poster: Society of Toxicology 64th Annual Meeting, 2025

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The Critical Role of Single-Cell Data Science in Advancing Biomedical Research

Dive into the future of biomedical research! In this paper we discuss how The Single-Cell Data Science Consortium (SCDS) is using data to transform disease understanding and drug development.

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Harnessing Human Omics Data and ML, Combined with Human Insights, to Revolutionize Gene Target Safety Evaluation

Discover how combining human omics data, machine learning, and expert insights can accelerate and enhance safety assessments. This poster, a collaboration with Johnson & Johnson Innovative Medicine, explores a study comparing a novel ML algorithm (TRAP) with expert-curated literature reviews, revealing the power of integrated approaches in predicting potential adverse event risks.

Poster: Society of Toxicology 64th Annual Meeting, 2025

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The relationship between CAG repeat expansions, mutant huntingtin protein levels, and a new HTT1a isoform which appears in mutant protein. Their findings provide a deeper understanding of the molecular mechanisms driving Huntington’s disease progression and offer valuable guidance for therapeutic strategies targeting HTT isoforms.

Publication: Brain Communications, Oxford University Press