RNA sequencing results from SNA-high and SNA-low, young and old murine T cells
Data files
Aug 25, 2025 version files 9.78 MB
-
README.md
1.98 KB
-
SuppData_NormCounts.csv
9.77 MB
Abstract
Glycans regulates cellular function, yet how aging impacts the glycocalyx remains unclear. We investigate changes in immune cell glycocalyx with age and find that α2,6-linked sialic acid, a glycan epitope associated with inhibitory signaling, is downregulated in T cells from old animals. Through functional experiments and RNA sequencing, we found that this reduction is tightly correlated with age-associated accumulation of effector T cells, which have little to no α2,6-linked sialic acid. This dataset presents the analyzed RNA sequencing data of α2,6-linked sialic acid-high and -low young and old murine T cells.
Dataset DOI: 10.5061/dryad.fqz612k4f
Description of the data and file structure
This dataset is related to manuscript "Age-related remodeling of the sialoglycans dampens murine CD8+ T cell function" (H Zhang and CK Tsui et al., accepted, Science Advances 2025). The dataset contains analyzed RNA sequencing results of α2,6-sialic acids-high and -low T cells in five young and five old mice. Analysis reveals that the loss of α2,6-sialic acids is tightly associated with T cell activation.
Files and variables
File: SuppData_NormCounts.csv
Description: Data presented are DESeq2 normalized means and counts from RNA sequencing data of SNA-positive and SNA-negative T cells from 5 young and old mice. All old mice had SNA-positive and SNA-negative populations. Only one young mouse has a SNA-negative population.
Variables:
GeneID GeneSymbol Chromosome Start End Class Strand Length high low
- GeneID: Gencode GeneID
- GeneSymbol: Gene Symbol
- Chromosome: Chromosome number
- Start: start position
- End: end position
- Class: transcript class
- Stand: positive or negative strand
- Length: aligned transcript length
- High: Normalized average counts of SNA-high
- Low: Normalized average counts of SNA-low
- Normalized counts from individual old or young mice with SNA-high(SNApos) or -low(SNANeg) T cells:
Old_1_T_cells_SNANeg, Old_1_T_cells_SNAPos, Old_2_T_cells_SNANeg, Old_2_T_cells_SNAPos, Old_3_T_cells_SNANeg, Old_3_T_cells_SNAPos, Old_4_T_cells_SNANeg, Old_4_T_cells_SNAPos, Old_5_T_cells_SNANeg, Old_5_T_cells_SNAPos, Young_1_T_cells_SNAPos, Young_2_T_cells_SNANeg, Young_2_T_cells_SNAPos, Young_3_T_cells_SNAPos, Young_4_T_cells_SNAPos, Young_5_T_cells_SNAPos
Code/software
Analysis was performed on the Galaxy web platform (usegalaxy.org). Mouse FASTA reference transcriptome GRCm39 was used for alignment. Tools included Kallisto Quant v0.46.2+galaxy and DESeq2.
α2,6-Sia-high and -low CD8+ T cells from mouse thymus of five young and five old mice were isolated by FACS. RNA was purified using an RNeasy Mini Kit and stored at -80°C until further processing. RNA-Seq library preparation and NovaSeq PE150 sequencing were performed by MedGenome. RNA-Seq analysis was performed by uploading.fastq files to the Galaxy web platform, using the public server at usegalaxy.org. and mouse FASTA reference transcriptome GRCm39 was used for alignment. Tools included Kallisto Quant v0.46.2+galaxy and DESeq2.