hEGCLC paper

Repository to collect the code used to analyze the scRNA-Seq and DNA methylation data for the paper ()[] Docker image for most of the single cell analysis (notebooks in folders from 00 to 05) can be retrieved via docker pull alessiavalenti/transgenerationalhub:transgenerational-1.1.7.

00_ExplorationQC_DimRed_Clustering.ipynb

First exploration, quality check, dimensionality reduction and clustering of the scRNA-Seq data.

01a_CellsAnnotationMarkers.ipynb

Exploration of known markers across clusters of the scRNA-Seq data and cell types annotation.

01b_FunctionalEnrichment_Clusters.ipynb

Functional enrichment of the markers of the Leiden clusters.

01c_CellCycle.ipynb

Analysis of cell cycle phases of the cells in the scRNA-Seq data.

02a_PseudoBulk_PCA.ipynb

Generation of pseudobulk from annotated scRNA-Seq and PCA analysis.

02b_Pseudobulk_edgeR_topGO_hEGCLC_hPGCLC.ipynb

Differential expression analysis and functional enrichment of DEGs from pseudobulks of hPGCLC and hEGCLC.

02b_Pseudobulk_edgeR_topGO_hiPSC_hEGCLC.ipynb

Differential expression analysis and functional enrichment of DEGs from pseudobulks of hiPSC and hEGCLC.

02b_Pseudobulk_edgeR_topGO_hiPSC_hPGCLC.ipynb

Differential expression analysis and functional enrichment of DEGs from pseudobulks of hPGCLC and hiPSC.

02c_Comparisons_between_DEGs.ipynb

Comparison of DEGs of comparisons hPGCLC-hEGCLC, hiPSC-hEGCLC and hPGCLC-hiPSC.

03a_Chen_Processing_and_Annotation.ipynb

Processing of dataset from Chen et al. (Cell Reports, 2019) and annotation of the cell types.

03b_Ingest_Chen.ipynb

Ingestion of in-house dataset onto Chen dataset.

03c_Fetal_Processing_and_Annotation.ipynb

Processing of dataset from Chen et al. (Cell Reports, 2019) and annotation of the cell types.

03d_Ingest_FetalData.ipynb

Processing of dataset from Guo et al. (Cell Reports, 2019) and annotation of the cell types.

04a_DEGs_patterns_AggClustering.ipynb

Clustering of genes based on the logFC patterns along the hiPSC-iMeLC-hPGCLC-hEGCLC axis.

05_TF_activity_inference.ipynb

Inference of TF activity from scRNA-Seq data using Multivariate Linear Model.

FuncEnrich_LeidenCluster_0

Functional enrichment of Leiden cluster 0 from clustering in notebook 01

FuncEnrich_LeidenCluster_1

Functional enrichment of Leiden cluster 1 from clustering in notebook 01

FuncEnrich_LeidenCluster_2

Functional enrichment of Leiden cluster 2 from clustering in notebook 01

FuncEnrich_LeidenCluster_3

Functional enrichment of Leiden cluster 3 from clustering in notebook 01

FuncEnrich_LeidenCluster_4

Functional enrichment of Leiden cluster 4 from clustering in notebook 01

FuncEnrich_LeidenCluster_5

Functional enrichment of Leiden cluster 5 from clustering in notebook 01

FuncEnrich_LeidenCluster_6

Functional enrichment of Leiden cluster 6 from clustering in notebook 01

FuncEnrich_LeidenCluster_7

Functional enrichment of Leiden cluster 7 from clustering in notebook 01

FuncEnrich_LeidenCluster_8

Functional enrichment of Leiden cluster 8 from clustering in notebook 01

FuncEnrich_LeidenCluster_9

Functional enrichment of Leiden cluster 9 from clustering in notebook 01

FuncEnrich_LeidenCluster_10

Functional enrichment of Leiden cluster 10 from clustering in notebook 01

FuncEnrich_LeidenCluster_11

Functional enrichment of Leiden cluster 11 from clustering in notebook 01

FuncEnrich_LeidenCluster_12

Functional enrichment of Leiden cluster 12 from clustering in notebook 01

FuncEnrich_GenesCluster_0

Functional enrichment of genes in cluster 0 from clustering in notebook 04a

FuncEnrich_GenesCluster_1

Functional enrichment of genes in cluster 1 from clustering in notebook 04a

FuncEnrich_GenesCluster_2

Functional enrichment of genes in cluster 2 from clustering in notebook 04a

FuncEnrich_GenesCluster_3

Functional enrichment of genes in cluster 3 from clustering in notebook 04a

FuncEnrich_GenesCluster_4

Functional enrichment of genes in cluster 4 from clustering in notebook 04a

FuncEnrich_GenesCluster_5

Functional enrichment of genes in cluster 5 from clustering in notebook 04a

FuncEnrich_GenesCluster_6

Functional enrichment of genes in cluster 6 from clustering in notebook 04a

FuncEnrich_GenesCluster_7

Functional enrichment of genes in cluster 7 from clustering in notebook 04a

FuncEnrich_GenesCluster_8

Functional enrichment of genes in cluster 8 from clustering in notebook 04a

FuncEnrich_GenesCluster_9

Functional enrichment of genes in cluster 9 from clustering in notebook 04a

FuncEnrich_GenesCluster_10

Functional enrichment of genes in cluster 10 from clustering in notebook 04a

FuncEnrich_GenesCluster_11

Functional enrichment of genes in cluster 11 from clustering in notebook 04a

FuncEnrich_GenesCluster_12

Functional enrichment of genes in cluster 12 from clustering in notebook 04a

FuncEnrich_GenesCluster_13

Functional enrichment of genes in cluster 13 from clustering in notebook 04a

FuncEnrich_GenesCluster_14

Functional enrichment of genes in cluster 14 from clustering in notebook 04a

06.1_CellOracle.ipynb

06.2_CellOracle.ipynb

06.3_CellOracle.ipynb

06_GRN_DMDE.ipynb

06_GRN_hEGCLC.ipynb

06_GRN_hPGCLC.ipynb

06_GRN_hiPSC.ipynb

06_GRN_iMeLC.ipynb

PreliminaryExploration

DMRCalling

TwistBedAnnotation

DMRAnnotation

DMRplots

TopGO_hiPSCs_vs_hPGCLCs_all

TopGO_iMeLCs_vs_hPGCLCs_all

TopGO_hEGCLCs_vs_hiPSCs_all

TopGO_hEGCLCs_vs_hPGCLCs_all

Heatmaps_imprinted_regions

DMRplots_imprinted_regions

1.EscapeeBsseqGeneration

2.EscapeeAnnotationAndFunctional

3.EscapeeHeatmaps

4.EscapeesvsNonEscapees