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Gene expression of human bone marrow-derived stem cells on liquid crystalline self-assembed hydroxyapatite nanorods for bone regeneration

GSE210696 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/08/23 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 15 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 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
Liquid Crystalline Hydroxyapatite Nanorods Orchestrate Hierarchical Bone-Like MineralizationSmall (Weinheim an der Bergstrasse, Germany) · 2024
Summary (written by the submitters)
Liquid crystal-like, low-dimensional and long-range ordered structures (LC) are found in human tissues including bones. The excellent mechanical and biological functions of natural bones entail the well-orchestrated nano-scale hydroxyapatite (HAp) crystals within collagen fibres matrix. However, the understanding of the self-assembling of HAp nanocrystals and formation of hierarchically ordered bone structure are still elusive.
Read the full summary ↓
Our study aims to develop an in situ traceable anisotropic HAp nanorods doped with citrate and terbium (Cit/Tb-HAp NRs), investigate their self-assembling behaviour and illuminate their potential and pathway of guiding ordered osteogenesis at multi-scale in vitro.
Published in
Liquid Crystalline Hydroxyapatite Nanorods Orchestrate Hierarchical Bone-Like Mineralization
Chen J, Birchall M, MacRobert AJ et al. · Small (Weinheim an der Bergstrasse, Germany) 2024 · PMID 39177175 · doi:10.1002/smll.202310024
This dataset
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.

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 GSE210696_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA867161 and SRA study SRP390392. Searching any of these in the dataset finder brings you back here.

Study design
15 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 15 sample titles: 15 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.

Samples in this study
Datasets on a similar topic

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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.