Commit 7016c201 authored by Giorgia Giacomini's avatar Giorgia Giacomini
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# Amodio_Infertility_2024 # Amodio_Infertility_2024
Amodio G, Giacomini G, Boeri L, et al. **T cell exhaustion and senescence signatures characterize and differentiate infertile men** Amodio G, Giacomini G, Boeri L, et al. **T cell exhaustion and senescence signatures characterize and differentiate infertile men**
### Analyses ### ### Single-Cell RNA Sequencing Analysis ###
Single-cell (from 10X Genomics) analysis of CD3+ T cells purified from the peripheral blood of men diagnosed with oligo-astheno-teratozoospermia (OAT, n=4), idiopathic non-obstructive azoospermia (iNOA, n=6), and a control group (FER, n=5). **scRNAseq** (from 10X Genomics) analysis of CD3+ T cells purified from the peripheral blood of men diagnosed with oligo-astheno-teratozoospermia (OAT, n=4), idiopathic non-obstructive azoospermia (iNOA, n=6), and a control group (FER, n=5).
scRNAseq analysis was performed using a standard [Seurat](https://satijalab.org/seurat/) pipeline that includes the following steps starting from a minimal object after loading of 10X data to markers identification:
**scRNAseq** analysis was performed using a standard [Seurat](https://satijalab.org/seurat/) pipeline that includes the following steps starting from a minimal object after loading of 10X data to markers identification:
- Preprocessing and cell filtering - Preprocessing and cell filtering
- Each sample was pre-processed and cells with mitochondrial RNA percentages higher than 10 and a number of features <1200 or >6000, were filtered out. - Each sample was pre-processed and cells with mitochondrial RNA percentages higher than 10 and a number of features <1200 or >6000, were filtered out.
- Normalization - Normalization
- Default seurat settings [vignette] - Default Seurat settings ([NormalizeData function])(https://satijalab.org/seurat/reference/normalizedata)
- Scaling: - Scaling:
- Data was regressed out by passing UMI count, the percentage of mitochondrial genes, the difference between the cell cycle phases scores. - Data was regressed out by passing UMI count, the percentage of mitochondrial genes, the difference between the cell cycle phases scores.
- Dimensionality reduction and Harmony batch removal: - Dimensionality reduction and Harmony batch removal:
...@@ -22,10 +20,9 @@ Single-cell (from 10X Genomics) analysis of CD3+ T cells purified from the perip ...@@ -22,10 +20,9 @@ Single-cell (from 10X Genomics) analysis of CD3+ T cells purified from the perip
- Intra-cluster comparisons - Intra-cluster comparisons
### Directories and Files ### ### Directories and Files ###
- **Script**: R scripts used for the analyses - **Script**: R scripts used for the analyses
- `1_PreProcessing_Data.R`: Full object creation - `1_PreProcessing_Data.R`: Preprocessing, cell filtering and Full object creation
- `2_Infertility_scRNAseq_analysis.R`: - `2_Infertility_scRNAseq_analysis.R`:
- `3_SubsetAnalysis_Annotations.R`: subset analyses of T cells and cluster manual annotation - `3_SubsetAnalysis_Annotations.R`: subset analyses of T cells and cluster manual annotation
- `4_ScoreAnalysis_TcellSubset.R`: - `4_ScoreAnalysis_TcellSubset.R`:
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