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Updated: May 20, 2026

Development of a Multicellular Three-dimensional Organotypic Model of the Human Intestinal Mucosa Grown Under Microgravity

Development of a Multicellular Three-dimensional Organotypic Model of the Human Intestinal Mucosa Grown Under Microgravity

Published on: July 25, 2016

Multiscale Modeling and Systems Biology in Microgravity Investigations.

Mariagiovanna Pais¹, Thomas Cahill¹, Guillermo H López-Campos²

¹School of Biological Sciences and Institute for Global Food Security, Queen's University Belfast, Belfast, UK.

Methods in Molecular Biology (Clifton, N.J.)

|May 18, 2026

Summary

This summary is machine-generated.

Spaceflight

Keywords:

Bioinformatics pipelines In vitro and in vivo models Microgravity Molecular dynamics simulations NASA GeneLab Omics technologies Space medicine Spaceflight biology Systems biology Transcriptomics analysis

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Last Updated: May 20, 2026

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Culturing Lymphocytes in Simulated Microgravity Using a Rotary Cell Culture System

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Published on: August 25, 2022

Area of Science:

Space biology
Computational biology
Genomics

Background:

Spaceflight presents unique stressors: radiation, microgravity, isolation.
These stressors impact biological systems, causing health issues like bone loss and neuroimmune dysfunction.
Countermeasures developed for spaceflight have terrestrial health benefits.

Purpose of the Study:

To systematically characterize spaceflight-induced biological changes.
To describe computational pipelines for analyzing space-derived transcriptomic data.
To support multiscale modeling for understanding space biology and developing countermeasures.

Main Methods:

Utilizing omics techniques (transcriptomics, proteomics, metabolomics).
Employing in silico modeling (molecular dynamics simulations).
Conducting research in space and using terrestrial analogs (clinostats).
Analyzing data using computational pipelines for quality control, alignment, and functional analysis.

Main Results:

Established computational pipelines for processing spaceflight transcriptomic data.
Facilitated data sharing and integrative analysis via platforms like NASA GeneLab.
Enabled the construction of multiscale models linking molecular and physiological data.

Conclusions:

Computational analysis of omics data is crucial for understanding space biology.
These methods advance the development of countermeasures for spaceflight-induced health effects.
Integrative analysis of multiomics datasets enhances our comprehension of biological responses to space.