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Transcriptomic profile of Lin negative, LEPR positive cells of human peri-implant fibrous tissue and peri-implant bone

GSE227128 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2024/03/10 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 38 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
38 samples: 10 × LepRneg_Membrane vs 10 × LepRpos_Membrane vs 9 × LepRneg_Bone vs 9 × LepRpos_BoneGroups 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
Prevention and treatment of peri-implant fibrosis by functionally inhibiting skeletal cells expressing the leptin receptorNature biomedical engineering · 2024
Summary (written by the submitters)
Peri-implant fibrosis is one of the most common reasons for implant failure and surgical revision after prosthetic joint replacement. This type of surgical revisionis associated with substantial additional morbidity and healthcare costs. However, the cellular and molecular mediators of peri-implant fibrosis remain unclear. Here, we show that peri-implant fibrotic tissue in mice and humans is largely composed of a specific population of leptin receptor-expressing(LEPR+) cells and that these LEPR+cells are necessary and sufficient to both generate and maintain peri-implant fibrotic tissue.
Read the full summary ↓
Genetic ablation of LEPR+cells prevents peri-implant fibrosis, and implantation of LEPR+cells from peri-implant fibrotic tissue is sufficient to induce fibrosis in secondary hosts. We further identify adhesion G protein-coupled receptorF5 (ADGRF5) as a crucial mediator of the fibrotic response by LEPR+cells, as conditional deletion of ADGRF5 in LEPR+cells attenuates peri-implant fibrosis while augmenting peri-implant bone formation. Finally, we demonstrate that inhibition of ADGRF5 by intra articular or systemic administration of neutralizing anti-ADGRF5prevents and reverses peri-implant fibrosis. Thus, pharmaceutical agents that inhibit the ADGRF5 pathway inLEPR+cells may represent a new approach to prevent and treat peri-implant fibrosis.
Published in
Prevention and treatment of peri-implant fibrosis by functionally inhibiting skeletal cells expressing the leptin receptor
Suhardi VJ, Oktarina A, Hammad M et al. · Nature biomedical engineering 2024 · PMID 39085645 · doi:10.1038/s41551-024-01238-y
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 GSE227128_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 PRJNA943267 and SRA study SRP426661. Searching any of these in the dataset finder brings you back here.

Study design
10 × LepRneg_Membrane vs 10 × LepRpos_Membrane vs 9 × LepRneg_Bone vs 9 × LepRpos_Bone

Supports a between-group comparison across 38 samples.

How we read this: 4 replicated groups read from 38 sample titles; they account for 38 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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