Biology subjects

Hendrix, A.

Publications and source records attributed to Hendrix, A..

10 recordsLinked to original sources

bioRxiv2026

Neuroblastoma-derived small extracellular vesicles retaincellular identity and adrenergic/mesenchymal state signatures

Neuroblastoma is a heterogeneous pediatric malignancy characterized by distinct genomic subgroups and cell-state plasticity between adrenergic (ADRN) and mesenchymal (MES) phenotypes. While small extracellular vesicles (sEVs) mediate pre-metastatic niche priming, the degree to which sEV proteomes reflect parental genomic and phenotypic identity remains unresolved. Here, we isolated sEVs from six neuroblastoma cell models (IMR-5/75, BE(2)-C, GI-ME-N, CLB-GA, LAN-6, and SK-N-FI) representing three genomic subgroups (MYCN-amplified, TERT-rearranged, and unaltered) using OptiPrep density gradient centrifugation followed by size exclusion chromatography and ultrafiltration. High-resolution mass spectrometry of sEV proteomes revealed that sEVs carry highly reproducible protein signatures that tightly correlate with the parental genomic subgroups. Analyzing paired cell/sEV samples, we demonstrate cell-to-EV concordance of lineage-specific markers: ADRN sEVs selectively enriched L1CAM and dopamine {beta}-hydroxylase (DBH), whereas MES sEVs enriched SERPINE1 and type III collagen (COL3A1). These findings indicate that neuroblastoma-derived sEVs systematically preserve both the genomic landscape and the lineage transdifferentiation states of their cells of origin. This study establishes a robust molecular foundation for utilizing sEV-based proteomics as a surrogate to track cellular plasticity and for studying sEV-mediated microenvironmental remodeling.

cancer biology↗

bioRxiv2026

Chemokine and opioid peptide scavenging through constitutive and ligand-induced release of ACKR3-bearing extracellular vesicles

Atypical chemokine receptors (ACKRs) are non-signaling GPCRs that regulate ligand availability, with ACKR3 functioning as a dual scavenger of chemokines and opioid peptides. Here, we demonstrate that following ligand stimulation, besides the canonical internalization, ACKR3 is released on extracellular vesicles (EVs). ACKR3 was also found on EVs released under basal conditions, although to a lesser extent. These observations were confirmed across multiple cellular contexts, including endogenous systems. Mechanistically, basal and ligand-induced EV release are independent of GRKs and {beta}-arrestin but each relies on distinct trafficking routes and C-terminal determinants. Ligand-induced EV release is associated with plasma membrane localization and receptor recycling pathways. In contrast, basal EV release is governed by intracellular sorting processes and influenced by receptor ubiquitination and RAMP3. Functionally, EV-associated ACKR3 retains high-affinity ligand binding, enabling sequestration of CXCL12 and opioid peptides and thereby attenuating their signaling through CXCR4 and MOR. We also show that the release on EVs, in particular under basal conditions, is observed for other receptors such as KOR, CXCR4 and several ACKRs. Collectively, these findings establish EVs as regulators in chemokine and opioid systems and as a previously underappreciated dimension of ACKR3 and more broadly GPCR biology.

Cell Biology↗

bioRxiv2026

Real-time, automated, standardized, and transparent analysis of microfluidic nanoparticle data with RPSPASS

Extracellular vesicles (EVs) are lipid spheres released from cells. Research utilizing EVs has met several hurdles owing to the small size of the majority of EVs and other nanoparticles (<150 nm) and the lack of detection technologies capable of providing high-throughput single particle measurements at this scale. The use of high-throughput single particle measurements is critical for the assessment of EV heterogeneity and abundance which are features often used to assess the development of isolation protocols or particle characterization. The Coulter principle, known in the field as resistive pulse sensing (RPS), has been used for several decades to size and count cells. More recently, this technology has evolved to accommodate nanoparticle analysis. In the last decade a platform utilizing microfluidic resistive pulse sensing (MRPS) has been demonstrated for nanoparticles, offering ergonomic characterization of nanoparticles along with utilizing open format data. To date, assessment of MRPS accuracy and reporting standards have not been assessed. With the aim of increasing data accuracy, ergonomics, and reporting transparency, we developed a microfluidic resistive pulse sensing post-acquisition analysis software (RPSPASS) application for automated cohort calibration, population gating, statistical output, QC plot generation, alternative data file outputs, and standardized reporting templates.

bioengineering↗

bioRxiv2026

Characterization of nanoparticles and fluorescent recombinant extracellular vesicles with three high-sensitivity flow cytometers

High-sensitivity flow cytometry (FC) allows multiparametric analysis of nanoparticles (NPs) and extracellular vesicles (EVs). With new instruments available, studies that evaluate their performance using the same materials in a controlled environment are required. Here, we performed a comparative study to investigate the capabilities of three flow cytometers, namely the NanoFCM (NF), BD Influx (IF) and CytoFLEX LX (CF). Firstly, we analyzed a mixed population of silica NPs (SiNPs, 68, 91, 114 and 155 nm) by using light-scatter based detection thresholds (SSC, FSC, VSSC) across a concentration range from 106 to 109 particles/mL. Next, we analyzed fluorescent recombinant EVs (rEVs) by comparing light-scatter based thresholding (488 nm SSC available for all platforms), the combination of SSC thresholding with a fluorescent gate, and fluorescent thresholding for their qualitative and quantitative analysis. We here provide the strengths and limitations for each platform regarding the analysis of differently sized NPs at different sample concentrations.

cell biology↗

bioRxiv2025

Single recipient cell tracking of tellurium-labeled extracellular vesicle proteomes (TeLEV) identifies EV-driven immunomodulation

Extracellular vesicles (EVs) mediate tumor-immune cell communication by carrying protein cargo that can immediately modulate signaling and antigen presentation. Yet mapping the uptake of primary EV proteomes by human immune cells at single-cell resolution has been constrained by a lack of labeling strategies. We show here that TeLEV, a tellurium-based metabolic mass tagging approach that incorporates L-2-tellurienylalanine (TePhe) into EV proteomes, can produce a biologically rare monoisotopic signal, which is detectable by mass cytometry, imaging mass cytometry, and nanoscale SIMS, without perturbing EV morphology, yield, or proteome composition. We applied TeLEV to label primary malignant B-cell-derived EVs (MBC-EVs) from chronic lymphocytic leukemia (CLL) patients and could follow EV uptake by distinct cell populations of healthy donor peripheral blood mononuclear cells. MBC-EV uptake occurred predominantly in cells of myeloid lineages. In direct control experiments with matched secreted proteins, a machine learning approach identified CD123, CD127, and CD25 as key markers distinguishing primary MBC-EV recipients from matched secreted protein recipient cells. Nanoscale imaging enabled localization of EV-delivered proteins within heterochromatin, whereas Te-labeled secreted proteins accumulated in the cytoplasm of recipient cells. We then generated a pan-immune EV uptake atlas by tracing the uptake of primary and cell-line EVs from nine cell lines and six donors with chronic lymphocytic leukemia into 2,977,094 recipient cells across 43 cell types and subpopulations. We found that the uptake of MBC-EVs by myeloid recipients induced monocyte-derived dendritic-cell polarization characterized by the co-expression of the interleukin-receptor triad (IL-RT: CD123, CD127, CD25) identified above. Time-resolved EV uptake analysis showed a rapid, transient expression of CD123/CD127 followed by CD25, both tightly coupled to MBC-EV uptake by myeloid cells. The intensity of IL-RT expression correlated with that of PD-L1 and BCL-2. Using different STAT degraders to bidirectionally modify the EV-induced STAT5 signal, we observed that MBC-EV uptake and IL-RT, PD-L1, and BCL-2 expression increased with STAT3 degradation and decreased with STAT5 degradation. To investigate the functional consequences of the MBC-EV-induced changes, we showed that MBC-EVs in the presence of IL-2 induced a high-CD25 immune state with low cytotoxic and high B cell proliferation. Taken together, TeLEV represents a novel tool for single-cell tracking of EV proteomes, revealing STAT5-dependent immune remodeling of recipient cells.

cancer biology↗

bioRxiv2024

Intact messenger RNA exists in human blood plasma and urine, and their purified macromolecular compartments

It is generally assumed that extracellular long RNA molecules in biofluids are fragmented. Few studies have indirectly hinted at the existence of possibly functional, intact long RNA transcripts. In search for such RNA molecules, we developed a long-read full transcript sequencing workflow for low-input and low-quality samples. We applied our method to human blood plasma, urine, and their isolated macromolecular compartments, in parallel with total RNA sequencing. This approach enabled us to find intact messenger RNA molecules in human biofluids and macromolecular compartments. We showed that the full-length transcriptome of human urine and blood plasma differs, but we also reveal intact messenger RNA molecules shared between biofluids. In addition, we show that these intact molecules are differentially distributed over fractionated macromolecular compartments. This study provides a foundation for future extracellular RNA studies to elucidate the human biofluid full-length transcriptome.

molecular biology↗

bioRxiv2023

Extracellular vesicles and co-isolated endogenous retroviruses differently affect dendritic cells

Cells secrete membrane-enclosed extracellular vesicles (EVs) and non-vesicular nanoparticles (ENPs) that may play a role in intercellular communication. Tumor-derived EVs have been proposed either to induce immune priming of antigen presenting cells, or, to be immuno-suppressive agents promoting tumor immune escape. We suspect that such disparate functions are due to variable composition in EV subtypes and ENPs of the analyzed EV preparations. We aimed to exhaustively characterize the array of secreted EVs and ENPs of murine tumor cell lines. Unexpectedly, we identified virus-like particles (VLPs) from endogenous murine leukemia virus in preparations of EVs produced by tumor cells. We established a robust protocol to separate small (s)EVs from VLPs and ENPs. We compared their protein composition and analyzed their functional interaction with target dendritic cells (DCs). ENPs were poorly captured and did not affect DCs. sEVs specifically induced DC death. A mixed EV/VLP preparation was the most efficient to induce DC maturation and antigen presentation. Our results call for systematic re-evaluation of the respective proportions and functions of non-viral EVs and VLPs produced by tumors and their contribution to anti-tumor immune responses and to tumor progression.

cell biology↗

bioRxiv2022

Physical association of low density lipoprotein particles and extracellular vesicles unveiled by single particle analysis

Extracellular vesicles (EVs) in blood plasma are recognized as potential biomarkers for disease. Although blood plasma is easily obtainable, analysis of EVs at the single particle level is still challenging due to the biological complexity of this body fluid. Besides EVs, plasma contains different types of lipoproteins particles (LPPs), that outnumber EVs by orders of magnitude and which partially overlap in biophysical properties such as size, density and molecular makeup. Consequently, during EV isolation LPPs are often co-isolated. Furthermore, physical EV-LPP complexes have been observed in purified EV preparations. Since co-isolation or association of LPPs can impact single EV-based analysis and biomarker profiling, we investigated whether under physiological conditions LPPs and EVs can associate by using cryo-electron tomography, label-free synchronous Rayleigh and Raman scattering analysis of optically trapped particles and fluorescence-based high resolution single particle flow cytometric analysis. Furthermore, we evaluated the impact on flow cytometric analysis in the absence or presence of different types of LPPs using in vitro spike-in experiments of purified tumor cell line-derived EVs in different classes of purified human LPPs. Based on orthogonal single-particle analysis techniques we demonstrated that EV-LPP complexes can form under physiological conditions. Furthermore, we show that in fluorescence-based flow cytometric EV analysis staining of LPPs, as well as EV-LPP associations can influence EV analysis in a quantitative and qualitative manner. Our findings demonstrate that the biological colloidal matrix of the biofluid in which EVs reside impacts their buoyant density, size and/or refractive index (RI), which may have consequences for down-stream EV analysis.

cell biology↗

bioRxiv2021

Performance of RNA purification kits and blood collection tubes in the Extracellular RNA Quality Control (exRNAQC) study

The use of blood-based extracellular RNA (cell-free RNA; exRNA) as clinical biomarker requires the implementation of a validated procedure for sample collection, processing, and profiling. So far, no study has systematically addressed the pre-analytical variables affecting transcriptome analysis of exRNAs. In the exRNAQC study, we evaluated ten blood collection tubes, three time intervals between blood draw and downstream processing, and eight RNA purification methods using the supplier-specified minimum and maximum biofluid input volumes. The impact of these pre-analytics on deep transcriptome profiling of both small and messenger RNA from healthy donors plasma or serum was assessed for each pre-analytical variable separately and for interactions between a selected set of pre-analytics, resulting in 456 extracellular transcriptomes. Making use of 189 synthetic spike-in RNAs, the processing and analysis workflow was controlled. When comparing blood collection tubes, so-called preservation tubes do not stabilize exRNA well, and result in variable RNA concentration and sensitivity (i.e., the number of detected RNAs) over time, as well as compromised reproducibility. We also document large differences in RNA purification kit performance in terms of sensitivity, reproducibility, and observed transcriptome complexity, and demonstrate interactions between specific blood collection tubes, purification kits and time intervals. Our results are summarized in 11 performance metrics that enable an informed selection of the most optimal sample processing workflow for a given experiment. In conclusion, we put forward robust quality control metrics for exRNA quantification methods with validated standard operating procedures (SOPs), representing paramount groundwork for future exRNA-based precision medicine applications.

genomics↗

bioRxiv2019

Performance assessment of total RNA sequencing of human biofluids and extracellular vesicles

RNA profiling has emerged as a powerful tool to investigate the biomarker potential of human biofluids. However, despite enormous interest in extracellular nucleic acids, RNA sequencing methods to quantify the total RNA content outside cells are rare. Here, we evaluate the performance of the SMARTer Stranded Total RNA-Seq method in human platelet-rich plasma, platelet-free plasma, urine, conditioned medium, and extracellular vesicles (EVs) from these biofluids. We found the method to be accurate, precise, compatible with low-input volumes and able to quantify a few thousand genes. We picked up distinct classes of RNA molecules, including mRNA, lncRNA, circRNA, miscRNA and pseudogenes. Notably, the read distribution and gene content drastically differ among biofluids. In conclusion, we are the first to show that the SMARTer method can be used for unbiased unraveling of the complete transcriptome of a wide range of biofluids and their extracellular vesicles.

molecular biology↗