Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Tubuli vs. Control Tubuli)
Expression microarray · human · 22 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Homo sapiens (human)
- Samples
- 22 samples: 22 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
Direct links to NCBI, 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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE30529_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA154759. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 22 sample titles: 22 distinct titles with little repetition. 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.
- GSM757014 Diabetic Human Kidney 43, Tubuli
- GSM757015 Diabetic Human Kidney 62, Tubuli
- GSM757016 Diabetic Human Kidney 67, Tubuli
- GSM757017 Diabetic Human Kidney 120, Tubuli
- GSM757018 Diabetic Human Kidney 148, Tubuli
- GSM757019 Diabetic Human Kidney 162, Tubuli
- GSM757020 Diabetic Human Kidney 164, Tubuli
- GSM757021 Diabetic Human Kidney 168, Tubuli
- GSM757022 Diabetic Human Kidney 178, Tubuli
- GSM757023 Diabetic Human Kidney 187, Tubuli
- GSM757024 Control Human Kidney 17, Tubuli
- GSM757025 Control Human Kidney 37, Tubuli
- GSM757026 Control Human Kidney 53, Tubuli
- GSM757027 Control Human Kidney 64, Tubuli
- GSM757028 Control Human Kidney 70, Tubuli
- GSM757029 Control Human Kidney 76, Tubuli
- GSM757030 Control Human Kidney 77, Tubuli
- GSM757031 Control Human Kidney 81, Tubuli
- GSM757032 Control Human Kidney 82, Tubuli
- GSM757033 Control Human Kidney 160, Tubuli
- GSM757034 Control Human Kidney 172, Tubuli
- GSM757035 Control Human Kidney 177, Tubuli
- GSE294519 The role of the renal tubules in diabetic kidney disease (DKD) 36 samples shares dkd, diabetic, kidney
- GSE262793 Integrative transcriptome and proteome profiling of insulin-resistant kidney cell models and patient biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease 80 samples shares diabetic, kidney
- GSE307817 A MEF2C transcription factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease 12 samples shares diabetic, kidney
- GSE209781 A single-cell transcriptomic atlas characterizes the kidney in the diabetic kidney disease 6 samples shares diabetic, kidney
- GSE49126 Transcriptomic profiling of peripheral blood mononuclear cells from patients with Parkinson's disease and control subjects 50 samples shares control
- GSE98793 Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls 192 samples shares control
- GSE30272 Temporal Dynamics and Genetic Control of Transcription in the Human Prefrontal Cortex 269 samples shares control
- GSE13355 Gene expression data of skin from psoriatic patients and normal controls 180 samples shares control
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.