ORIGINAL RESEARCH article

Front. Neurosci., 27 March 2024

Sec. Translational Neuroscience

Volume 18 - 2024 | https://doi.org/10.3389/fnins.2024.1379076

Effects of microgravity on neural crest stem cells

  • 1. Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden

  • 2. Institute of Biochemistry, Vilnius University, Vilnius, Lithuania

  • 3. Department of Pharmaceutical Bioscience, Uppsala University, Uppsala, Sweden

  • 4. Department of Translational Medicine, University of Ferrara, Ferrara, Italy

  • 5. Space Biology Group, School of Engineering and Architecture, Institute of Medical Engineering, Lucerne University of Applied Sciences and Arts, Hergiswil, Switzerland

  • 6. National Center for Biomedical Research in Space, Innovation Cluster Space and Aviation, University of Zurich, Zurich, Switzerland

  • 7. Swedish Space Corporation, Solna, Sweden

Abstract

Exposure to microgravity (μg) results in a range of systemic changes in the organism, but may also have beneficial cellular effects. In a previous study we detected increased proliferation capacity and upregulation of genes related to proliferation and survival in boundary cap neural crest stem cells (BC) after MASER14 sounding rocket flight compared to ground-based controls. However, whether these changes were due to μg or hypergravity was not clarified. In the current MASER15 experiment BCs were exposed simultaneously to μg and 1 g conditions provided by an onboard centrifuge. BCs exposed to μg displayed a markedly increased proliferation capacity compared to 1 g on board controls, and genetic analysis of BCs harvested 5 h after flight revealed an upregulation, specifically in μg-exposed BCs, of Zfp462 transcription factor, a key regulator of cell pluripotency and neuronal fate. This was associated with alterations in exosome microRNA content between μg and 1 g exposed MASER15 specimens. Since the specimens from MASER14 were obtained for analysis with 1 week’s delay, we examined whether gene expression and exosome content were different compared to the current MASER15 experiments, in which specimens were harvested 5 h after flight. The overall pattern of gene expression was different and Zfp462 expression was down-regulated in MASER14 BC μg compared to directly harvested specimens (MASER15). MicroRNA exosome content was markedly altered in medium harvested with delay compared to directly collected samples. In conclusion, our analysis indicates that even short exposure to μg alters gene expression, leading to increased BC capacity for proliferation and survival, lasting for a long time after μg exposure. With delayed harvest of specimens, a situation which may occur due to special post-flight circumstances, the exosome microRNA content is modified compared to fast specimen harvest, and the direct effects from μg exposure may be partially attenuated, whereas other effects can last for a long time after return to ground conditions.

1 Introduction

Exposure to microgravity (μg) results in a range of systemic changes in the organism, reflecting the physiological stress and adaptation associated with this extreme physical environment (Corydon et al., 2023). Space flight conditions have also been shown to alter brain structure and function with more severe effects after long-term space missions (Roy-O'Reilly et al., 2021; Shirah et al., 2022). Microgravity induces stress-related changes in cellular structure and gene expression (Corydon et al., 2023). However, μg also has some beneficial cellular effects and was shown to promote neuronal differentiation of mesenchymal stem cells (Chen et al., 2011), adipose stem cells (Zarrinpour et al., 2017; Graziano et al., 2018) and to promote cardiomyocyte development (Camberos et al., 2019).

Boundary cap neural crest stem cells (BCs) are a transient group of cells located at spinal root exit and entry points during embryonic development and can differentiate into neurons and glia (Hjerling-Leffler et al., 2005; Aldskogius et al., 2009; Trolle et al., 2014; Radomska and Topilko, 2017). In addition to their broad differentiation potential, BCs display a remarkable ability to promote survival and support the function of other cells (Olerud et al., 2009; Grouwels et al., 2012; Ngamjariyawat et al., 2013; Aggarwal et al., 2017). We previously showed that BCs analyzed 1 week after exposure to μg condition on the MASER14 sounding rocket flight markedly increased their post-flight proliferation capacity compared to ground controls, and showed activation of genes associated with survival and differentiation (Han et al., 2021). However, whether these changes were induced by exposure to μg or to hypergravity remain to be clarified. Furthermore, since space flown BCs were harvested after 1 week’s delay, the observed effects could be indirect, i.e., mediated through factors released by BCs to the medium as a result of the space flight conditions.

In the current experiment with MASER15 sounding rocket we asked (i) whether hypergravity or μg induces increased proliferation and altered gene expression in BCs; (ii) whether these effects are detectable also in BCs analyzed directly after the flight; and (iii) whether exosome content in the medium differs after direct harvest (MASER15 experiment) compared to delayed harvest (MASER14 experiment). To distinguish between the influence of μg and hypergravity, BCs were placed in two separate sections in the sounding rocket: one group was exposed to μg, whereas another group was placed in an onboard centrifuge that provided 1 g control condition.

The experiments revealed that exposure specifically to μg induces the increased BC proliferation capacity, which can be detected in specimens harvested shortly after flight and are associated with specific alterations in gene expression. Furthermore, distinct differences were identified in exosome microRNA content between MASER14 (1 week delayed harvest) and MASER15 (5 h delayed harvest).

2 Methods

2.1 Preparation and culture of boundary cap neural crest stem cells

The Regional Ethics Committee for Research on Animals approved all animal procedures. BCs were prepared from transgenic mice harboring red fluorescent protein (RFP) under the universal actin promoter as previously described and cultured under the same conditions (Aldskogius et al., 2009). Briefly, the spinal cord was exposed and dorsal root ganglia, including their attachment with the spinal cord, gently separated and mechano-enzymatically dissociated using collagenase/dispase (1 mg/mL) and DNase (0.5 mg/mL) for 30 min at room temperature. Cells were plated at 0.5–1 × 105 cells/cm2 in N2 medium containing B27 (Gibco) as well as EGF and bFGF (R&D Systems; 20 ng/mL, respectively). After 12 h of culture, cells that had not adhered were removed together with half of the medium, and a fresh medium was added. The medium was changed every second day, and neurospheres could be observed after about 2 weeks of culture.

2.2 Assembly of specimens for insertion to the space module

The final preparations before launch of MASER15 were performed in the Esrange Space Center bio-laboratory.1 SIOUX Technologies2 provided the special hardware for storing the cells during space flight. For the assembly, a special metal tripod-table was used. All cellular materials were prepared as triplicates at around 0.3 M cells/ml density, placed to membranes within the hard-plastic building blocks. The membranes were sealed airtight with respective membrane lids and remaining bubbles were aspirated by injecting needles (G25, G27) through the membrane lids. Cassettes were installed in the “Late-access unit” (LAU), which functioned as an airtight, pressure-, temperature-controlled incubator aboard the rocket. The center part of the LAU was built as a centrifuge to mimic regular gravitational acceleration (1G), while the outer parts of the LAU were exposed to microgravity (weightlessness) during the flight. The ground control group was cultured in ambient temperature condition on the bench at Esrange throughout the flight until all materials returned to the lab.

All samples for further analysis were divided into three groups; one part was placed in a centrifuge installed in the experimental module onboard to keep 1 g condition, another part was subjected to μg, and the third part remained on the ground as a control group (Figure 1, overview of the experiment).

Figure 1

Microgravity conditions with sounding rocket were achieved between 75 s (at 100 km altitude) and 438.1 s (at 110 km altitude) after lift-off, providing 363 0.4 s of microgravity (source: SSC document “S1X-3 M15 post flight report,” ref.: S1XM-384989335-2407, 24 November 2021).

Microgravity conditions are identified by measuring residual accelerations in the vehicle’s Service Module. For this, a set of calibrated and flight-qualified 3-axis accelerometers (Honeywell Q-Flex® QA-1400 series) were used. Measurement range in fine mode were minus 60.0 mG to 60.0 mG with 4 μG resolution. Sampling frequency was 2,500 Hz (source: SSC document “MASM-2B design report,” ref.: SCIPROJ-1835638381-8199, 20 December 2022).

2.3 Post-flight culture and morphological assessment

Part of the cells subjected to μg or 1 g condition on MASER15 was retrieved from the membranes 5 h after landing for RNA extraction, whereas another group of cells received fresh medium and was placed into 24 -well plates for extension. The cells exposed to μg required every day split due to their extreme rate of proliferation, whereas cells in 1 g group and ground control cells were split every second day according to the standard protocol. This situation resembled the postflight conditions from the previous MASER14 BC experiment (Han et al., 2021) and prompted a comparison of the rate of BC proliferation between these two flights. For the comparison of BC proliferation rate, the neurospheres from Maser 14, Maser 15 and non-flight groups were split to single cells, stained with trypan blue, counted in Burker chamber and seeded to low-affinity 6 well-dishes with the equal concentrations. After 3 days the all cells were collected, split to the single cells and counted in the Burker chamber.

2.4 Transcriptomics analysis of BCs exposed to space flight

2.4.1 AmpliSeq sequencing

For transcriptomic analysis, the medium was replaced immediately after cells were accessible for analysis (5 h after landing) with RNAlater® (#R0901, Sigma-Aldrich), and samples were transported at room temperature and subsequently frozen at −80°C until processed for total RNA extraction using the Aurum™ Total RNA Mini Kit (#7326820, Bio-Rad) according to manufacturer’s instruction. Concentration was determined using NanoDrop 1000 (Thermo Fisher). Before sequencing, RNA was quality-controlled using a 2100 Bioanalyzer (Agilent). For sequencing, 10 ng of RNA from each sample was used. Sequencing was performed using an Ion S5 XL system (Thermo Fisher). The data was processed through the ampliSeqRNA plugin in the Torrent Suite Software.

2.4.2 Differential gene expression analysis

Analysis of gene expression data was performed using R 4.3.1 (Team, 2023) with the DESeq2 1.40.2 (Love et al., 2014) package. Differential expression analysis was performed on raw read counts from AmpliSeq, normalized with the median-of-ratios method in DESeq2. Differentially expressed genes (DEGs) with an absolute log2 fold change (log2FC) above 2.0 and false discovery rate (FDR) adjusted p-value < 0.001 were used for further analysis. The MASER15 cells exposed to μg were compared to ground control and 1 g control. For MASER14, cells exposed to space flight were compared to ground control.

Pathway enrichment analysis was performed for differentially expressed genes in MASER 15 and MASER 14 compared to the respective ground control group using the REACTOME database (Fabregat et al., 2017). Up- and downregulated genes were assessed separately. The top 100 pathways for each analysis were considered. Because similar sets of genes generated hits on multiple related pathways in REACTOME, the genes triggering these hits were manually combined in four non-redundant genes of interest lists (Tables 14).

Table 1

Gene symbolGene descriptionAssigned function
Antxr2ANTXR Cell Adhesion Molecule 2Cell adhesion
Camkk2Calcium/Calmodulin Dependent Protein Kinase Kinase 2Neuronal signaling
Ccnd1Cyclin D1Cell division
Chst7Carbohydrate Sulfotransferase 7Proteoglycan
Dph2Diphthamide Biosynthesis 2Cell cycle
Il20rbInterleukin 20 Receptor Subunit BetaImmune system
Kcng1Potassium Voltage-Gated Channel Modifier Subfamily G Member 1Neuronal signaling
Map3k11Mitogen-Activated Protein Kinase Kinase Kinase 11Cell division
MycMYC Proto-Oncogene, BHLH Transcription FactorCell division
Ptger4Prostaglandin E Receptor 4Immune system
Slc35b3Solute Carrier Family 35 Member B3Cell division
Snx9Sorting Nexin 9Vesicle biogenesis
Srxn1Sulfiredoxin 1Stress response
Tor1aip2Torsin 1A Interacting Protein 2Stress response
Tyw3TRNA-YW Synthesizing Protein 3 HomologCell division
Uroc1Urocanate Hydratase 1Histidine metabolism

Genes of interest from MASER15, upregulated in cells exposed to space flight μg.

Table 2

Gene symbolGene descriptionAssigned function
AldoaAldolase, Fructose-Bisphosphate AMetabolism
Bbc3BCL2 Binding Component 3Apoptosis
Bmt2Base Methyltransferase Of 25S RRNA 2 HomologMetabolism
Cbx4Chromobox 4Cell division
Cbx8Chromobox 8Cell division
Ccng2Cyclin G2Cell division
Cdkn1bCyclin Dependent Kinase Inhibitor 1BCell division
ChukComponent Of Inhibitor Of Nuclear Factor Kappa B Kinase ComplexImmune system
Copb1COPI Coat Complex Subunit Beta 1Vesicle biogenesis
CrebrfCREB3 Regulatory FactorCell division
Ddit4DNA Damage Inducible Transcript 4Hypoxia
Egln3Egl-9 Family Hypoxia Inducible Factor 3Hypoxia
Ero1lEndoplasmic Reticulum Oxidoreductase 1 AlphaImmune system
Gadd45bGrowth Arrest And DNA Damage Inducible BetaEpigenetics
Gbe11,4-Alpha-Glucan Branching Enzyme 1Proteoglycan synthesis
Gys1Glycogen Synthase 1Metabolism
Herpud1Homocysteine Inducible ER Protein With Ubiquitin Like Domain 1Apoptosis
Higd1aHIG1 Hypoxia Inducible Domain Family Member 1AHypoxia
Hk2Hexokinase 2Metabolism
Hoxb2Homeobox B2Cell division
MmaaMetabolism Of Cobalamin Associated AMetabolism
NamptNicotinamide PhosphoribosyltransferaseMetabolism
NfkbiaNFKB Inhibitor AlphaImmune system
P4ha1Prolyl 4-Hydroxylase Subunit Alpha 1Collagen synthesis
PfklPhosphofructokinase, Liver TypeMetabolism
Pgm2Phosphoglucomutase 2Metabolism
Plod2Procollagen-Lysine,2-Oxoglutarate 5-Dioxygenase 2Collagen synthesis
Pole3DNA Polymerase Epsilon 3, Accessory SubunitCollagen synthesis
Ppp1r3cProtein Phosphatase 1 Regulatory Subunit 3CGlycogen synthesis
Sap30Sin3A Associated Protein 30Epigenetics
Slc2a1Solute Carrier Family 2 Member 1Metabolism
Trib3Tribbles Pseudokinase 3Apoptosis
Ypel5Yippee Like 5Cell division

Genes of interest from MASER15, down-regulated in cells exposed to space flight μg.

Table 3

Gene symbolGene descriptionAssigned function
A2mAlpha-2-MacroglobulinImmune system
Abca1ATP Binding Cassette Subfamily A Member 1Immune system
Adm2Adrenomedullin 2Other
Ank3Ankyrin 3Cell–Cell contact
Anxa2Annexin A2Neuronal signaling
ApobrApolipoprotein B ReceptorMetabolism
Appl2Adaptor Protein, Phosphotyrosine Interacting With PH Domain And Leucine Zipper 2Neuronal signaling
Asic4Acid Sensing Ion Channel Subunit Family Member 4Neuronal signaling
Atp11bATPase Phospholipid Transporting 11B (Putative)Ion transport
Atp1a4ATPase Na+/K+ Transporting Subunit Alpha 4Ion transport
Atp8a2ATPase Phospholipid Transporting 8A2Ion transport
Atxn3Ataxin 3Cell division
C3Complement C3Immune system
C4bComplement C4B (Chido Blood Group)Development of nervous system
CampCathelicidin Antimicrobial PeptideImmune system
Cd68CD68 MoleculeImmune system
Chrm2Cholinergic Receptor Muscarinic 2Neuronal signaling
Cldn10Claudin 10Cell–Cell contact
Cldn4Claudin 4Cell–Cell contact
Cldn7Claudin 7Cell–Cell contact
CluClusterinMetabolism
Cox6a2Cytochrome C Oxidase Subunit 6A2Mitochondria
CpCeruloplasminIon transport
CpzCarboxypeptidase ZMetabolism
CrebrfCREB3 Regulatory FactorCell division
Crispld2Cysteine Rich Secretory Protein LCCL Domain Containing 2Immune system
CtshCathepsin HOther
Cyp26b1Cytochrome P450 Family 26 Subfamily B Member 1Other
Cyp7b1Cytochrome P450 Family 7 Subfamily B Member 1Other
Cystm1Cysteine Rich Transmembrane Module Containing 1Other
Dapk2Death Associated Protein Kinase 2Apoptosis
Dhrs3Dehydrogenase/Reductase 3Other
Dok3Docking Protein 3Immune system
Ecm1Extracellular Matrix Protein 1Cell adhesion
Efemp1EGF Containing Fibulin Extracellular Matrix Protein 1Cell adhesion
Gbe11,4-Alpha-Glucan Branching Enzyme 1Proteoglykan synthesis
Gngt2G Protein Subunit Gamma Transducin 2Other
Golga4Golgin A4Development of nervous system
Gria1Glutamate Ionotropic Receptor AMPA Type Subunit 1Neuronal signaling
Grik4Glutamate Ionotropic Receptor Kainate Type Subunit 4Neuronal signaling
Hkdc1Hexokinase Domain Containing 1Glycogen synthesis
Hmox1Heme Oxygenase 1Other
HrcHistidine Rich Calcium Binding ProteinOther
Htr1b5-Hydroxytryptamine Receptor 1BNeuronal signaling
Icam5Intercellular Adhesion Molecule 5Immune system
Il12rb1Interleukin 12 Receptor Subunit Beta 1Immune system
Il23aInterleukin 23 Subunit AlphaImmune system
Il33Interleukin 33Immune system
Inpp5jInositol Polyphosphate-5-Phosphatase JDevelopment of nervous system
Kcnip1Potassium Voltage-Gated Channel Interacting Protein 1Ion transport
LbpLipopolysaccharide Binding ProteinImmune system
LcatLecithin-Cholesterol AcyltransferaseOther
Lcn2Lipocalin 2Immune system
Lrp4LDL Receptor Related Protein 4Neuronal signaling
Ltbp2Latent Transforming Growth Factor Beta Binding Protein 2Cell adhesion
Matn3Matrilin 3Cell adhesion
MetMET Proto-Oncogene, Receptor Tyrosine KinaseCellular growth
Mmp19Matrix Metallopeptidase 19Cell adhesion
Mt1Metallothionein 1Stress response
Myl4Myosin Light Chain 4Other
NdnNecdin, MAGE Family MemberDevelopment of nervous system
Nedd4lNEDD4 Like E3 Ubiquitin Protein LigaseUbiquitine
Nod2Nucleotide Binding Oligomerization Domain Containing 2Immune system
Npas2Neuronal PAS Domain Protein 2Other
Nt5e5’-Nucleotidase EctoImmune system
Ntn1Netrin 1Differentiation
OsmrOncostatin M ReceptorCell division
P2rx1Purinergic Receptor P2X 1Neuronal signaling
P2rx6Purinergic Receptor P2X 6Neuronal signaling
Padi2Peptidyl Arginine Deiminase 2Cell differentiation
Pak1P21 (RAC1) Activated Kinase 1Cell differentiation
PdgfbPlatelet Derived Growth Factor Subunit BCellular growth
Plch2Phospholipase C Eta 2Neuronal signaling
Pou3f1POU Class 3 Homeobox 1Cell differentiation
Pou3f2POU Class 3 Homeobox 2Cell differentiation
Ptpn6Protein Tyrosine Phosphatase Non-Receptor Type 6Cell differentiation
QpctGlutaminyl-Peptide CyclotransferaseNeuronal signaling
Rab18RAB18, Member RAS Oncogene FamilyNeuronal development
Rap2cRAP2C, Member Of RAS Oncogene FamilyCell differentiation
Rarres2Retinoic Acid Receptor Responder 2Immune system
Rgs6Regulator Of G Protein Signaling 6Other
Rims1Regulating Synaptic Membrane Exocytosis 1Vesicular exocytosis
Ripk3Receptor Interacting Serine/Threonine Kinase 3Apoptosis
Scn1bSodium Voltage-Gated Channel Beta Subunit 1Neuronal signaling
Scube3Signal Peptide, CUB Domain And EGF Like Domain Containing 3Development of nervous system
Sema3eSemaphorin 3ENeuronal development
Slc17a7Solute Carrier Family 17 Member 7Neuronal signaling
Slc22a3Solute Carrier Family 22 Member 3Neuronal signaling
Slc7a11Solute Carrier Family 7 Member 11Metabolism
Slit1Slit Guidance Ligand 1Neuronal development
SncbSynuclein BetaDevelopment of nervous system
Sparcl1SPARC Like 1Neuronal development
Stat6Signal Transducer And Activator Of Transcription 6Immune system
ThrspThyroid Hormone ResponsiveMetabolism
Tnni1Troponin I1, Slow Skeletal TypeOther
Trpm2Transient Receptor Potential Cation Channel Subfamily M Member 2Neuronal signaling
Trpm7Transient Receptor Potential Cation Channel Subfamily M Member 7Neuronal signaling
Trpv4Transient Receptor Potential Cation Channel Subfamily V Member 4Neuronal signaling
TxnipThioredoxin Interacting ProteinGlycogen synthesis
Vps37aVPS37A Subunit Of ESCRT-IUbiquitine
Vps41VPS41 Subunit Of HOPS ComplexVesicular exocytosis

Genes of interest from MASER14, upregulated in cells exposed to space flight.

Table 4

Gene symbolGene descriptionAssigned function
Alox5Arachidonate 5-LipoxygenaseImmune system
BsnBassoon Presynaptic Cytomatrix ProteinVesicle biosynthesis
Casp1Caspase 1Immune system
CftrCF Transmembrane Conductance RegulatorOther
Cnih3Cornichon Family AMPA Receptor Auxiliary Protein 3Neuronal signaling
Cntn6Contactin 6Cell adhesion
D2hgdhD-2-Hydroxyglutarate DehydrogenaseMitochondria
Fzd6Frizzled Class Receptor 6Cell division
Gdap1Ganglioside Induced Differentiation Associated Protein 1Mitochondria
Gja10Gap Junction Protein Alpha 10Cell–Cell adhesion
Gja4Gap Junction Protein Alpha 4Cell–Cell adhesion
Grb10Growth Factor Receptor Bound Protein 10Cell division
Grik1Glutamate Ionotropic Receptor Kainate Type Subunit 1Neuronal signaling
Hif3aHypoxia Inducible Factor 3 Subunit AlphaHypoxia
Igf2Insulin Like Growth Factor 2Cell division
L3mbtl1L3MBTL Histone Methyl-Lysine Binding Protein 1Cell division
Loxl4Lysyl Oxidase Like 4Collagen synthesis
Lpar3Lysophosphatidic Acid Receptor 3Differentiation
MagMyelin Associated GlycoproteinCell–Cell adhesion
Mboat4Membrane Bound O-Acyltransferase Domain Containing 4Other
Myh11Myosin Heavy Chain 11Other
MylkMyosin Light Chain KinaseOther
Myt1Myelin Transcription Factor 1Development of nervous system
Nkx2-2NK2 Homeobox 2Development of nervous system
Osr1Odd-Skipped Related Transcription Factor 1Development of nervous system
PgrProgesterone ReceptorOther
Pla2g4aPhospholipase A2 Group IVAImmune system
Rab33aRAB33A, Member RAS Oncogene FamilyVesicle biosynthesis
RhdRh Blood Group D AntigenOther
Rspo3R-Spondin 3Cell division
SftpcSurfactant Protein COther
Slc17a8Solute Carrier Family 17 Member 8Neuronal signaling
Slc30a10Solute Carrier Family 30 Member 10Other
Slc7a8Solute Carrier Family 7 Member 8Metabolism
Slc9a2Solute Carrier Family 9 Member A2Other
SpnSialophorinImmune system
Sptbn2Spectrin Beta, Non-Erythrocytic 2Cell division
Stx3Syntaxin 3Neuronal signaling
Trpm3Transient Receptor Potential Cation Channel Subfamily M Member 3Neuronal signaling
VtnVitronectinCell adhesion
Wnt2bWnt Family Member 2BDevelopment of nervous system
Zp1Zona Pellucida Glycoprotein 1Other

Genes of interest from MASER14, down-regulated in cells exposed to space flight.

The genes of interest were assigned a categorical classification based on functional classification in gene ontology using the DAVID tool (Huang da et al., 2009a,b) and the NCBI gene info database.3 Further, the predicted cellular localization was obtained using the WegoLoc tool (Chi and Nam, 2012). Data were visualized using MS Excel and Graph Pad Prism V5.0 (GraphPad Software Inc., Boston, MA, United States).

2.5 Exosome analysis

2.5.1 Isolation of BC-derived exosomes

BCs were maintained in culture in DMEM/F12 medium supplemented with N2 and B27 (see above). After the specimens were delivered to the Esrange laboratory, the medium was collected for exosome analysis. Exosome isolation was performed using Amicon® Ultra-15 Centrifugal Filter Unit with Ultracel-100 regenerated cellulose membrane (UFC910024, Millipore, Massachusetts, United States). The cellular medium was centrifuged at 2000 rcf for 30 min at 4°C and washed with PBS at 2000 rcf for 30 min at 4°C. Exosomes kept by the filter were then collected and stored at −20°C.

2.5.2 Exosome observations—transmission electron microscopy

Exosome fixation for TEM was performed using 2% glutaraldehyde solution in phosphate buffer (ratio 1:1). After the fixation phase, exosomes were deposited, rinsed, and stained with heavy metal compounds onto a gridded slide following standard protocols. The visualization of the slide was performed using a TEM Zeiss EM 910 instrument (Zeiss, Oberkochen, Germany).

2.5.3 Exosome characterization with tunable resistive pulse sensing

BC exosome distribution and diameter size were analyzed with the qNano platform (iZON Science, UK). NP150 nanopores and CPC200 calibration particles were used to analyze at 20 mbar pressure. The output was then analyzed with the Izon control suite v3.4 software, which allows for comparing the sample and calibration particles as a comparative reference.

2.5.4 Total exosome RNA extraction and miRNA sequencing

Total RNA extraction from the BC-derived exosomes was performed using the Cell Culture Media Exosome Purification and RNA Isolation Mini Kit (Norgen Biotek Corp., Thorold, Ontario, Canada), following the manufacturer’s instructions. All RNA samples were then stored at −80°C.

Illumina sequencing was used to realize miRNA profiling, which was carried out by Area Science Park (ASP, Trieste, Italy). MiRNA-Seq libraries were realized using the QIAseq miRNA Library Kit (QIAGEN; Hilden, Germany). The sequencing was performed using Novaseq 6000 (Illumina; San Diego, CA, United States) in the 2 × 150 paired-end mode. The identification of miRNAs in the samples was done using the QIAseq miRNA-NGS data analysis software V5, considering single read as the read type and Read 1 Cycles 75 as the read cycles.

2.5.5 Bioinformatic and statistical analysis

MiRNAs from QIAseq miRNA-NGS data analysis software were selected based on read number. The final list of miRNAs obtained was used in enrichment analysis using miRNet software (Chang and Xia, 2023). Functional enrichment analysis of miRNA was realized using miRTareBase v8.0 database as reference. The software was exploited to perform a Gene Ontology Biological Process Enrichment. A p-value < 0.05 was chosen to select data, and Prism 8.03 software graphical view (GraphPad Software Inc., Boston, MA, United States) was used to report enrichment analysis.

For evaluation of BC proliferation, statistics such as One-Way ANOVA and Tukey’s HSD post-hoc test were calculated in RStudio Version 4.0.5. Additionally, the package “ggplot2” was used to plot the graph (Figure 2).

Figure 2

3 Results

3.1 Space flown BCs show enhanced proliferation

We previously reported that BCs increased their proliferation capacity after a space flight with the sounding rocket MASER14 (Han et al., 2021), for which experimental material was harvested 1 week after landing (delayed harvest). All material from the MASER15 experiment was collected directly after the flight (immediate harvest). Control BCs and BCs from MASER14 and MASER15 μg groups were split into single cells, seeded at 0.3 M cells/mL, and cultured for 3 days, and the number of cells was assessed at the end of the experiment. The results show that 5 h after flight harvested BCs proliferated significantly faster than BCs harvested after a 1 week delay, as well as control BCs (Figure 2).

3.2 Space flown BCs show altered gene expression

Whole transcriptome profiles obtained using the AmpliSeq method for BCs exposed to μg on MASER14 and MASER15 were compared to their corresponding ground control groups. For MASER15, 104 genes were differentially expressed (log2FC > 2.0, FDR adjusted p < 0.001) in μg compared to ground control (42 upregulated and 62 downregulated genes). For MASER14, 479 genes met the fold change limit (334 upregulated and 145 downregulated). BCs from MASER14 were harvested 7 days after μg, while BCs from MASER15 were harvested directly after the flight (5–6 h after μg exposure). Hence, potential differences in the effect on gene expression in relation to time after μg exposure could be evaluated.

The differentially expressed genes were assessed using the REACTOME pathway database (Fabregat et al., 2017). In MASER15 samples, pathways related to disease, gene expression, signal transduction, cell cycle, and programmed death were found to be enriched (Tables 1, 2). At the same time, in MASER14, enrichment of pathways related to the immune system, transport of small molecules, cellular response to stimuli, and metabolism of proteins were detected (Tables 3, 4). Whether these differences in gene expressions are due to the delayed effect of μg in MASER14 or the changes in stem cells due to the prolonged effect of μg may be addressed in future space experiments with BCs. Genes defining the enrichment of the listed pathways were extracted and used for further analysis (Tables 14). The genes were further grouped into 21 classes, including one class named “Other” for singular genes with more deviant categorization, based on the REACTOME enrichment analysis (Figure 3A).

Figure 3

Following immediate harvest, the largest groups of upregulated genes were related to proliferation, hypoxia, and immune signaling. Further, genes related to metabolism and proliferation were also most downregulated, emphasizing the impact of space flight on proliferation. Interestingly, we also detected downregulation of genes that prevent epigenetic changes. After delayed harvest, upregulation of genes involved in stress response and development of the nervous system and downregulation of genes involved in cell division and development of the nervous system were detected.

When genes were classified according to cellular localization, there was a higher number of genes localized to the cytoplasm and nucleus in immediately harvested BCs, while the number of genes localized to the plasma membrane and synapses was increased in delayed harvested BCs, compared to ground controls (Figure 3B). Interestingly, a relatively large number of genes on the MASER14 gene lists were found to be extracellular, e.g., neuropeptides, growth factors and cytokines (Table 3).

The MASER15 μg group was further compared to the MASER15 1 g control, which was subjected to all aspects of the flight except μg (Figure 2). Here, only five differentially expressed genes were found (FDR < 0.05, Log2FC > 1.0): 9530082P21Rik, Uox, Zfp462, Malat1, Gm31814, and LOC108167568. Three genes (9530082P21Rik, Uox, and Gm31814) were excluded from further assessment due to expression in only one sample. Upregulated genes were Zfp462, that encodes a zink-finger protein known to regulate survival in early development, and Malat1, which produces a precursor to a non-coding RNA. LOC108167568, encoding a transcription factor without known function but with an active binding site, was found to be downregulated (Figure 3C).

3.3 BC exosome number and morphology differ after direct compared to delayed harvest

Exosomes were isolated from BC μg and BC ground control medium and characterized. First, they were observed using transmission electron microscopy (TEM). The resulting extracellular vesicles showed a typical bilayer cup-shaped membrane structure, appearing like rounded structures in TEM (Figure 4A). Tunable resistive pulse sensing analysis was used to measure the dimension of the vesicles (Table 5; Figures 4B,C). The analysis of exosome sizes shows similarity between MASER14 and MASER15 μg groups, similar to the control group of MASER15 (directly collected medium after μg exposure). In the MASER14 group, when the control medium was collected with a delay of 1 week, we detected fewer, but larger exosomes (Figure 4C).

Figure 4

Table 5

SampleDiameter average (nm)Concentration
BC μg (MASER15)2311.07e+07
BC Ctrl (MASER15)2659.38e+06
BC μg (MASER14)2129.17e+11
BC Ctrl (MASER14)2412.26e+11

Average exosome size and concentration in MASER14 and MASER15 BC µG samples, and in corresponding BC control samples.

3.4 Exosomes from space flown BCs differ from controls in their miRNA content

After the isolation, all the exosome content was extracted to perform miRNA sequencing analysis. From the miRNA sequencing analysis of the immediately harvested MASER15 BC μg samples compared to corresponding ground control, 110 miRNAs showed a significant fold-regulation value (cut off: < −2 or > +2) (Figure 5A). Among these significantly altered miRNAs, five were upregulated: miR-152-3p, miR-17-5p, miR-15b-5p miR-361-5p, and miR-9-3p. Of these miRNAs, the first three are involved as regulators of biological processes including proliferation, extracellular matrix production, and apoptosis (Cloonan et al., 2008; Gan et al., 2021; Pinazo-Duran et al., 2023), while miR-361-5p and miR15b-5p are reported to be tumor suppressors and brain-specific miRNA (Ji et al., 2016; Ma et al., 2017; Zhou et al., 2022).

Figure 5

To further explore the function of upregulated, an enrichment analysis was performed using miRNet software. From the miRNet output, only the biological processes with a p-value < 0.05 were selected and reported in a bar graph (Figure 5B). The analysis performed on up-regulated miRNAs shows enrichment in immuno-modulating functions, cell cycle/proliferation mechanism, regulation of stem cells, and brain development. The miRNA sequencing analysis was also performed for MASER15 μg sample compared with the 1 g on board control sample. This analysis yielded 48 significantly altered miRNAs (cut-off: < −1.5 or > +1.5). Of these, 12 were down-regulated and 36 up-regulated in MASER15 μg sample compared to 1 g sample. Among the up-regulated miRNAs is reported let-7b-5p, that represents a regulator of Zfp462 gene resulted as a significant gene in the gene expression analysis.

An identical miRNA analysis performed on BC μg and related control samples following delayed harvest from MASER14, showed a total of 169 significantly altered miRNAs based on fold-regulation value (cut off: < −2 or > +2) (Figure 5C). Eighteen of these miRNAs (miR-651-3p, miR-6886-5p, miR-6867-3p, miR-6761-3p, miR-6879-3p, miR-6828-3p, miR-6890-3p, miR-6869-5p, miR-6877-3p, miR-3192-3p, miR-6826-3p, miR-196b-3p, miR-575, miR-4322, miR-570-3p, miR-4683, miR-5703, miR-579-3p) were upregulated in BC μg condition compared to control. An enrichment analysis of these 18 upregulated miRNAs revealed their involvement granulopoiesis, response to hypoxia, lipid metabolism, hematopoiesis, immune response, and cell proliferation (Figure 5D). A visual Venn Diagram was exploited to highlight the common biological pathways between MASER 14 and MASER 15 (Figure 5E).

Furthermore, overlap analysis performed on the list of miRNAs from MASER14 and MASER15 BC μg condition resulted in the identification of 46 common miRNAs in the samples analyzed (Table 6). An enrichment analysis on these common miRNAs to verify a possible biological process enrichment pattern shows their involvement in immune system mechanisms, differentiation, proliferation and regenerative processes, as well as in glucose and lipid metabolisms (Figure 6).

Table 6

Common miRNAs
let-7b-5pmiR-20a-5p
let-7c-5pmiR-23a-3p
let-7d-5pmiR-24-3p
let-7f-5pmiR-25-3p
let-7 g-5pmiR-26a-5p
let-7i-5pmiR-296-3p
miR-101-3pmiR-29a-3p
miR-103a-3pmiR-301a-3p
miR-10a-5pmiR-335-5p
miR-125a-5pmiR-342-3p
miR-125b-5pmiR-34a-5p
miR-1268amiR-361-5p
miR-128-3pmiR-378a-3p
miR-130a-3pmiR-423-3p
miR-148a-3pmiR-424-5p
miR-148b-3pmiR-532-5p
miR-151a-3pmiR-744-5p
miR-152-3pmiR-92a-3p
miR-16-5pmiR-93-5p
miR-181a-5pmiR-9-3p
miR-181b-5pmiR-9-5p
miR-191-5pmiR-99a-5p
miR-196b-5pmiR-99b-5p

Common miRNAs in MASER14 and MASER15 BC µg samples.

Figure 6

4 Discussion

We show that a short flight with sounding rocket enhances the proliferation capacity by BCs and alters their gene expression and exosome miRNA content. The different patterns of gene expression in samples collected 5 h or 1 week after the exposure to μg compared to ground control groups, show that some post-microgravity effects can be detected directly after the flight, whereas other effects can appear later.

We previously showed a markedly increased proliferation capacity in BCs flown with MASER14 sounding rocket (Han et al., 2021). MASER15 BCs showed a remarkably high proliferation rate compared to 1 g samples on board, indicating that this feature was a result specifically of μg exposure during sounding rocket flight. Genetic analysis of the same two groups of MASER15 BCs revealed significant changes in three genes. The Zfp462, which encodes a zink-finger protein known to regulate survival in early development and contribute to cell proliferation (Yelagandula et al., 2023), was up-regulated in μg exposed BCs. Zfp462 secures neural lineage specification of mouse embryonic stem cells (ESCs) by silencing mesoendodermal genes due to targeting histone methyltransferase complex and direct epigenetic regulation.

The other two genes, Malat1 and LOC108167568, are encoding a precursor to a non-coding RNA and a transcription factor without known function, respectively. The change in expression of these genes could initiate increased proliferation and survival in μg-exposed cells at later stages after μg. The role of non-coding RNAs is now under extensive investigation by several groups, and their potential role in gene activation and protein synthesis is suggested (Kehl et al., 2017; Balashanmμgam et al., 2019; Hwang et al., 2023). It has been shown that overexpression of Zfp462 is essential for the development of the nervous system (Chang et al., 2007; Laurent et al., 2009). Zfp462 has also been shown to be crucial for maintaining stemness (Masse et al., 2010, 2011; Yelagandula et al., 2023).

The exosome-derived miRNAs profile from the MASER15 experiment showed up-regulation of the miRNA let-7b-5p in the μg sample compared to 1 g according to the miRTareBase, a reference database for target genes of miRNAs, Zfp462it is one of the target genes of let-7b-5p (Huang et al., 2020). The up-regulation of this miRNA might be expected to decrease or block the expression of Zfp462. However, given the complex effects of μg exposure, with alterations in the activity of multiple genes and changes in miRNA exosomal content, the precise influence of this miRNA is speculative.

When gene activity was compared between MASER14 and MASER15, it was found that protein activity locations are distributed differently. After the flight in MASER15 cells, the primary localization was detected mostly inside the nuclei and the cytosol. In contrast, after the MASER14 flight, the activity of the proteins was localized in the cell membrane and associated with the secretion. This distribution suggests that cells concentrate their activity on their survival during flight. Still, after the flight, they possess new features related to cell–cell communication, which may reflect their supporting characteristics in co-culture (Grouwels et al., 2012; Ngamjariyawat et al., 2013; Aggarwal et al., 2017) and co-transplantation with other cells (Olerud et al., 2009; Grapensparr et al., 2015; Aggarwal et al., 2017).

The differences in gene expression between MASER15 and MASER14 showed that early gene activity in MASER15 was associated with cell division and downregulation of cell adhesion, whereas in MASER14 a gene activity related to pro-inflammatory response and, to a lesser extent, cell division was enriched. In MASER14, an upregulation of genes related to the immune system was detected. However, this designation was a result of Toll-Like Receptor (TLR) activation, which may be associated with cell defense mechanisms in non-immune cells (Song et al., 2019). The extreme resistance of BCs to external stress factors may partly reflect the upregulation of these genes.

The analysis of the number and size of exosomes from MASER14 and MASER15 medium revealed that compared to control cells cultured on the ground, the size in the MASER15 group did not differ. In contrast, in the control group of MASER14, the size of exosomes increased, whereas the number of exosomes was reduced. These findings indicate that the size of exosomes exposed to μg did not change and remained similar to the ground control exosomes, as shown after direct harvest. In contrast, exosomes from MASER14 medium, when cells were in post-flight condition for 1 week, underwent significant modification, suggesting that μg supports maintenance of baseline exosome production, similar to ground control.

We also analyzed miRNA content in the exosomes from the medium of the MASER14 and MASER15 groups. MiRNAs identified in MASER14 exosomes are involved in processes like proliferation, cell cycle, and regulation of stem cell fate. In contrast miRNA exosomes from MASER15 were found to be associated with protection from hypoxia and, to a lesser extent, with cell proliferation (Yan et al., 2020; Wei et al., 2022). These results correlate with the significantly increased proliferation of cells after space flight, as well as the pathway enrichment analysis of the transcriptomic data showing an altered gene expression related to cell proliferation. The mechanisms underlying possible delayed emergence of space flight-induced changes in cellular properties are most likely due to altered gene regulation, e.g., DNA methylation or histone modifications. These alterations may, in turn, lead to a long-lasting change in cell properties, either as a lowered cell intrinsic threshold for entering the cell cycle or by inducing the release of factors that operate in an autocrine or paracrine manner to stimulate proliferation.

There are numerous reports, based on different types of actual and simulated μg exposure, of long-term up- and downregulation of genes and of alterations in the expression of regulatory molecules such as miRNAs in a range of cell types (Corydon et al., 2023). These alterations reflect adaptations associated with cellular stress, but a correlation with beneficial effects has also been demonstrated. Our previous study on BCs exposed to sounding rocket MASER14 flight showed an upregulation of genes related to proliferation and survival (Han et al., 2021). Remarkably, MASER14-flown BCs still showed an increased proliferation rate compared to control BCs 3 years after space flight, though not as high as MASER15 BCs. This agrees with the exosome analysis of MASER14, where miRNAs related to proliferation were altered after delayed harvest, indicating a lingering effect on cell growth.

We conclude that neural crest stem cells increase their proliferation capacity after space flight due to exposure to μg, an outcome that can be detected immediately after space flight, as well as in specimens harvested after a delay. This effect is associated with alterations in gene expression, among which upregulation of the transcription factor Zfp462 may be particularly relevant for the observed increased proliferation capacity. We find a complex pattern of regulation of additional genes, as well as exosomal miRNAs, including regulators involved in cell stress response. Further studies in ground-based simulated and prolonged space μg experiments will help to elucidate the mechanisms of direct and delayed effects of μg and elucidate the metabolic characteristics of BCs during flight conditions, which underlie their remarkable survival capacity in stress conditions. This will improve our understanding of the impact of μg on neural stem cells or other type of cells, and contribute to potential clinical application, such as approaches for controlled and rapid cell renewal for cell replacement therapy and tissue engineering.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The animal study was approved by Uppsala Regional Committee for the Care and Use of Animals in Research. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

YH: Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – review & editing. PB: Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – review & editing. LZ: Data curation, Formal analysis, Investigation, Validation, Writing – review & editing. SS: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing. FZ: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – review & editing. ME: Conceptualization, Formal analysis, Resources, Validation, Writing – review & editing. BZ: Data curation, Formal analysis, Investigation, Resources, Supervision, Validation, Visualization, Writing – review & editing. MT: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. GF: Data curation, Formal analysis, Validation, Visualization, Writing – review & editing. AV: Investigation, Software, Validation, Writing – review & editing. HA: Data curation, Formal analysis, Project administration, Validation, Writing – review & editing. RF: Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft. EK: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Visualization, Writing – original draft.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. We were supported by the Swedish National Space Agency (Dnr 2020-00163, 2021-00089) and Åhlens Foundation (Dnr 2022-230).

Acknowledgments

We are grateful for technical support at Esrange by Stefan Krämer (Swedish Space Corporation) and to Leonardo Surdo and Philippe DeGieter from ESA for help with design and implementation of the study. The authors would also like to acknowledge the support of the National Genomics Infrastructure (NGI)/Uppsala Genome Center and UPPMAX for assisting in massive parallel sequencing and computational infrastructure. Work performed at NGI/Uppsala Genome Center has been funded by RFI/VR and Science for Life Laboratory, Sweden.

Conflict of interest

GF and AV were employed by Swedish Space Corporation.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

microgravity, proliferation, delayed effect, neural stem cell, gene expression, exosomes, microRNA

Citation

Han Y, Barasa P, Zeger L, Salomonsson SB, Zanotti F, Egli M, Zavan B, Trentini M, Florin G, Vaerneus A, Aldskogius H, Fredriksson R and Kozlova EN (2024) Effects of microgravity on neural crest stem cells. Front. Neurosci. 18:1379076. doi: 10.3389/fnins.2024.1379076

Received

30 January 2024

Accepted

15 March 2024

Published

27 March 2024

Volume

18 - 2024

Edited by

Karen L. Lankford, Yale University, United States

Reviewed by

Ivana Barravecchia, University of Pisa, Italy

Yuri Dekhtyar, Riga Technical University, Latvia

Updates

Copyright

*Correspondence: Elena N. Kozlova,

†These authors have contributed equally to this work and share first authorship

‡These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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