How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.

The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determining the root causes of disease. Recent advances in artificial intelligence (AI), combined with the ability to generate large-scale experimental data, present novel opportunities to model cells. Here we propose a vision of leveraging advances in AI to construct virtual cells, high-fidelity simulations of cells and cellular systems under different conditions that are directly learned from biological data across measurements and scales. We discuss desired capabilities of such AI Virtual Cells, including generating universal representations of biological entities across scales, and facilitating interpretable in silico experiments to predict and understand their behavior using Virtual Instruments. We further address the challenges, opportunities and requirements to realize this vision including data needs, evaluation strategies, and community standards and engagement to ensure biological accuracy and broad utility. We envision a future where AI Virtual Cells help identify new drug targets, predict cellular responses to perturbations, as well as scale hypothesis exploration. With open science collaborations across the biomedical ecosystem that includes academia, philanthropy, and the biopharma and AI industries, a comprehensive predictive understanding of cell mechanisms and interactions has come into reach.

A new tool for routine testing of cellular protein expression: integration of cell staining and analysis of protein expression on a microfluidic chip-based system.

The key benefits of Lab-on-a-Chip technology are substantial time savings via an automation of lab processes, and a reduction in sample and reagent volumes required to perform analysis. In this article we present a new implementation of cell assays on disposable microfluidic chips. The applications are based on the controlled movement of cells by pressure-driven flow in microfluidic channels and two-color fluorescence detection of single cells. This new technology allows for simple flow cytometric studies of cells in a microfluidic chip-based system. In addition, we developed staining procedures that work "on-chip," thus eliminating time-consuming washing steps. Cells and staining-reagents are loaded directly onto the microfluidic chip and analysis can start after a short incubation time. These procedures require only a fraction of the staining reagents generally needed for flow cytometry and only 30,000 cells per sample, demonstrating the advantages of microfluidic technology. The specific advantage of an on-chip staining reaction is the amount of time, cells, and reagents saved, which is of great importance when working with limited numbers of cells, e.g., primary cells or when needing to perform routine tests of cell cultures as a quality control step. Applications of this technology are antibody staining of proteins and determination of cell transfection efficiency by GFP expression. Results obtained with microfluidic chips, using standard cell lines and primary cells, show good correlation with data obtained using a conventional flow cytometer.

Single-cell analysis of yeast, mammalian cells, and fungal spores with a microfluidic pressure-driven chip-based system.

BACKGROUND: Cytomics aims at understanding the function of cellular systems by analysis of single cells. Recently, there has been a growing interest in single cell measurements being performed in microfluidic systems. These systems promise to integrate staining, measurement, and analysis in a single system. One important aspect is the limitation of allowable cell sizes due to microfluidic channel dimensions. Here we want to demonstrate the broad applicability of microfluidic chip technology for the analysis of many different cell types. METHODS: We have developed a microfluidic chip and measurement system that allows flow cytometric analysis of fluorescently stained cells from different organisms. In this setup, the cells are moved by pressure-driven flow inside a network of microfluidic channels and are analyzed individually by fluorescence detection. RESULTS: We have successfully applied the system to develop a methodology to detect viable and dead cells in yeast cell populations. Also, we have measured short interfering RNA (siRNA) mediated silencing of protein expression in mammalian cells. In addition, we have characterized the infection state of Magnaportae grisea fungal spores. CONCLUSIONS: Results obtained with the microfluidic system demonstrate a broad applicability of microfluidic flow cytometry to measurement of various cell types.

Cytometric analysis of protein expression and apoptosis in human primary cells with a novel microfluidic chip-based system.

BACKGROUND: Work with primary cells is inherently limited by source availability and life span in culture. Flow cytometry offers extensive analytical opportunities but generally requires high cell numbers for an experiment. METHODS: We have developed assays on a microfluidic system, which allow flow cytometric analysis of apoptosis and protein expression with a minimum number of fluorescently stained primary cells. In this setup, the cells are moved by pressure-driven flow inside a network of microfluidic channels and are analyzed individually by two-channel fluorescence detection. For some assays the staining reactions can be performed on-chip and the analysis is done without further washing steps. RESULTS: We have successfully applied the assays to evaluate (a) activation of E-selectin (CD62E) expression by interleukin-1beta in human umbilical vein endothelial cells (HUVECs), (b) induction of CD3 by phorbol-12-myristate-13-acetate in freshly prepared human peripheral blood lymphocytes, and (c) staurosporine-induced apoptosis in HUVEC and normal human dermal fibroblasts. CONCLUSIONS: Results obtained with the microfluidic system are in good correlation with data obtained using a standard flow cytometer, but demonstrate new dimensions in low reagent and cell consumption.