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SLC29A1 and SLC29A2 are human nicotinamide cell membrane transporters

GSE251776 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/01/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
18 samples: 6 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
SLC29A1 and SLC29A2 are human nicotinamide cell membrane transportersNature communications · 2025
Summary (written by the submitters)
Nicotinamide, a main precursor of NAD+, is essential for cellular fuel respiration, energy production, and other cellular processes. Transporters for other precursors of NAD+ such as nicotinic acid and nicotinamide mononucleotide have been identified, but the cellular transporter of nicotinamide has not been elucidated. Here, we demonstrated that equilibrative nucleoside transporters 1 and 2 (ENT1 and 2, encoded by SLC29A1/2) drove cellular nicotinamide uptake and set nicotinamide metabolism homeostasis.
Read the full summary ↓
In addition, ENT1/2 exhibited a strong capacity to change the composition of cellular metabolites and the profile of transcripts, especially those related to nicotinamide. Then, we further found that ENT1/2 could regulate cellular respiration and senescence, which are universally acknowledged as nicotinamide biological functions, to which the NAD+ pool level and mitochondrial status influenced by ENT1/2 made important contributions. Together, ENT1 and ENT2 act as both cellular nicotinamide-level keepers and nicotinamide biological regulators through their NAM transport functions.
Published in
SLC29A1 and SLC29A2 are human nicotinamide cell membrane transporters
Chen M, Yuan L, Chen B et al. · Nature communications 2025 · PMID 39885119 · doi:10.1038/s41467-025-56402-y
This dataset
Open GSE251776 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE251776_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1055465 and SRA study SRP479474. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39885119) ↗
Study design
6 conditions, mostly in triplicate
AC16 cells,Negtive control,sample ×3 AC16 cells, siSLC29A1,sample ×3 AC16 cells, siSLC29A2,sample ×3 MSC,Negtive control, sample ×3 MSC, siSLC29A1,sample ×3 MSC, siSLC29A2,sample ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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