DOI: 10.5061/dryad.fqz612k4f
title: RNA sequencing results from SNA-high and SNA-low, young and old murine T cells

description: 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.
description: 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.
description: # Dryad dataset Dataset DOI:
 [10.5061/dryad.fqz612k4f](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.