Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 40912236

Nanobioreactor detection of space-associated hematopoietic stem and progenitor cell aging.

Jessica Pham·Jane Isquith·Larisa Balaian·Shuvro P Nandi·Claire Engstrom·Karla Mack·Inge van der Werf·Patrick Chang·Jana Stoudemire·Luisa Ladel·Emma Klacking·Antonio Ruiz·Daisy Chilin-Fuentes·Jenna Sneifer·David Mays·Paul Gamble·Shelby Giza·Jiya Janowitz·Trevor Nienaber·Tejaswini Mishra·Anna A Khachatrian·Elsa Molina·Michael P Snyder·Sheldon R Morris·Twyman Clements·Alysson R Muotri·Thomas Whisenant·Ludmil B Alexandrov·Catriona H M Jamieson
View original source ↗Export metadata ↓

Abstract

Human hematopoietic stem and progenitor cell (HSPC) fitness declines following exposure to stressors that reduce survival, dormancy, telomere maintenance, and self-renewal, thereby accelerating aging. While previous National Aeronautics and Space Administration (NASA) research revealed immune dysfunction in low-earth orbit (LEO), the impact of spaceflight on human HSPC aging had not been studied. To study HSPC aging, our NASA-supported Integrated Space Stem Cell Orbital Research (ISSCOR) team developed bone marrow niche nanobioreactors with lentiviral bicistronic fluorescent, ubiquitination-based cell-cycle indicator (FUCCI2BL) reporter for real-time HSPC tracking in artificial intelligence (AI)-driven CubeLabs. In month-long International Space Station (ISS) missions (SpX-24, SpX-25, SpX-26, and SpX-27) compared with ground controls, FUCCI2BL reporter, whole-genome and transcriptome sequencing, and cytokine arrays demonstrated cell-cycle, inflammatory cytokine, mitochondrial gene, human repetitive element, and apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3 (APOBEC3) deregulation together with clonal hematopoietic mutations. Furthermore, HSPC functionally organized multi-omics aging (HSPC-FOMA) analyses revealed reduced telomere maintenance, adenosine deaminase acting on RNA1 (ADAR1) p150 self-renewal gene expression, and replating capacity indicative of space-associated HSPC aging that may limit long-duration spaceflight.

Explore related subjects

HumansHematopoietic Stem CellsCellular SenescenceSpace FlightADAR1APOBEC3agingcell cycleclonal hematopoiesisdark genomehematopoietic stem and progenitor cellslow-earth orbitnanobioreactorrepetitive elementsJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, N.I.H., ExtramuralResearch Support, U.S. Gov't, Non-P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jessica Pham, Jane Isquith, Larisa Balaian, Shuvro P Nandi, Claire Engstrom, Karla Mack, Inge van der Werf, Patrick Chang, Jana Stoudemire, Luisa Ladel, Emma Klacking, Antonio Ruiz, Daisy Chilin-Fuentes, Jenna Sneifer, David Mays, Paul Gamble, Shelby Giza, Jiya Janowitz, Trevor Nienaber, Tejaswini Mishra, Anna A Khachatrian, Elsa Molina, Michael P Snyder, Sheldon R Morris, Twyman Clements, Alysson R Muotri, Thomas Whisenant, Ludmil B Alexandrov, Catriona H M Jamieson. 2025-09-04. Nanobioreactor detection of space-associated hematopoietic stem and progenitor cell aging.. https://doi.org/10.1016/j.stem.2025.07.013

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗
PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗