Search PubMedSearch

PubMed · 42668109

Dynamic effects of short-term storage temperature and duration on the transcriptome and functional pathways of umbilical cord blood-derived NK cells.

Abstract

OBJECTIVE: This study aims to elucidate the dynamic impact of different storage conditions (temperature and time) on the function of natural killer (NK) cells derived from umbilical cord blood (UCB) at the transcriptome level, providing a theoretical basis for optimizing the standardized post-collection processing protocol of UCB in clinical settings. METHODS: Four healthy full-term UCB samples were collected and assigned to a fresh control group (0H) and experimental groups stored at 4 °C (4C) or 25 °C (RT) for 24 h (24H) and 72 h (72H). Umbilical cord blood mononuclear cells (CBMCs) were isolated and expanded in vitro to derive NK cells. Using RNA sequencing (RNA-seq) technology, combined with principal component analysis (PCA), screening of differentially expressed genes (DEGs), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, the effects of storage conditions on the transcriptome of NK cells were comprehensively analyzed. RESULTS: The results indicated that storage time was the primary factor causing transcriptomic differences. Compared to the 0H group, storage for 24 h induced a limited number of Differentially Expressed Genes (DEGs) (only 11 in the 24H-RT group), indicating overall transcriptome stability. In contrast, storage for 72 h triggered profound transcriptomic reprogramming, with DEGs significantly enriched in immune activation-related pathways. Specifically, at the 72-h time point, storage at 4 °C compared to 25 °C prevented the downregulation of key metabolic pathways such as 'response to decreased oxygen levels' and 'regulation of leukocyte cell-cell adhesion'. CONCLUSION: CBMC-derived NK cells can tolerate up to 24 h of ex vivo storage while maintaining transcriptome and core functional stability. However, extending the ex vivo storage period to 72 h leads to significant reprogramming in the expression of immune and metabolism-related genes. Notably, the degree of metabolic suppression under refrigerated conditions at 4 °C was less pronounced than that at 25 °C room temperature storage. This study recommends that the ex vivo storage time of UCB should ideally be limited to within 24 h, with room temperature storage being a viable option. If prolonged storage is necessary, refrigeration at 4 °C is advised.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jing Xu, Yanqin Wang, Dongmei Yang, Zehua Zhang, Li Zhang, Shanshan Xu, Jing Dong, Xuesong Gao, Chenyu Liu. 2026-08-29. Dynamic effects of short-term storage temperature and duration on the transcriptome and functional pathways of umbilical cord blood-derived NK cells.. https://doi.org/10.1016/j.jim.2026.114110

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

KEEP EXPLORING

Related citations

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

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

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