Automated Author ProfileClark, Amanda, D
0000-0002-1186-3114
Clark, Amanda, D
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 13.9 (sum of 19 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
processed_data.tar.gz contains all files from the data directory associated with the 230418_TS_AgingCCC GitHub project and includes the following:CellRangerCounts/post_soupX/ : contains 12 directories for 12 samples, which each contain 3 files obtained from ambient RNA removal with soupX. Below is a representative example, but the post_soupX directory contains one directory for each of the 12 samples:S01_6m_AD/barcodes.tsvgenes.tsvmatrix.mtxpre_soupX/ : contains 12 directories for 12 samples, which each contain 2 files obtained from Cell Ranger after aligning fastq files to the reference genome. Below is a representative example, but this directory contains 1 directory for each individual sample:S01_6m_AD/outs/filtered_feature_ bc_matrix.h5raw_feature_bc_matrix.h5 PANDA_inputs/PANDA_exp_files_array.txt: Text files with files paths to expression inputs for PANDA gene regulatory networks.mm10_TFmotifs.txt: Mouse TF motif input for PANDA gene regulatory networks. Previously published in Whitlock et al. 2023 mm10_ppi.txt: Mouse protein-protein interaction information from SringDB input for PANDA gene regulatory networks. Previously published in Whitlock et al. 2023 ccc/nichenet_v2_prior/gr_network_mouse_21122021.rds : accessed in December 2023, gene regulation network – gene regulatory information from MultiNicheNetligand_target_matrix_nsga2r_final_mouse.rds: accessed in December 2023, ligand target matrix for mouse from MultiNicheNet.ligand_tf_matrix_nsga2r_final_mouse.rds: accessed in December 2023, mouse ligand tf matrix for signaling path determination from MultiNicheNetlr_network_mouse_21122021.rds : accessed in December 2023, ligand-receptor matrix from MultiNicheNetsignaling_network_mouse_21122021.rds : accessed in December 2023, signaling network – protein-protein interaction information from MultiNicheNet for mouseweighted_networks_nsga2r_final_mouse.rds : accessed in October 2023, networks weighted by literature evidence from MultiNicheNet for mousemultinichenet_output.rds : MultiNicheNet output for 3xTg-AD snRNA-seq data12m_signaling_igraph_objects.rds : list of igraph objects for 93 LRTs and their signaling mediators at 12 months6m_signaling_igraph_objects.rds :list of igraph objects for 2 LRTs and their signaling mediators at 6 monthselisa/: CSV files of measured OD values for every ELISA.240319_ELISA_Ab40.csv: OD measurements for Ab40240319_ELISA_Ab42.csv: OD measurements for Ab42240319_ELISA_total_tau.csv: OD measurements for Total Taupanda/: PANDA gene regulatory networks for each time point and condition in excitatory and inhibitory neurons. Used for differential gene targeting.excitatory_neurons_AD12.Rdataexcitatory_neurons_AD6.Rdataexcitatory_neurons_WT12.Rdataexcitatory_neurons_WT6.Rdatainhibitory_neurons_AD12.Rdatainhibitory_neurons_AD6.Rdatainhibitory_neurons_WT12.Rdatainhibitory_neurons_WT6.Rdatapseudobulk/: includes pseudo bulk matrices for every cell type which were used for downstream analyses. Each matrix also includes metadata information on condition and time point.all_counts_ls.rds: List of all the pseudo bulk matrices (below).astrocytes.rds: pseudobulk matrix for astrocytes. Include time point and condition information for downstream analyses.endothelial_cells.rds: pseudobulk matrix for endothelial cells. Include time point and condition information for downstream analyses.ependymal_cells.rds: pseudobulk matrix for ependymal cells. Include time point and condition information for downstream analyses.excitatory_neurons.rds: pseudobulk matrix for excitatory neurons. Include time point and condition information for downstream analyses.fibroblasts.rds: pseudobulk matrix for fibroblasts. Include time point and condition information for downstream analyses.inhibitory_neurons.rds: pseudobulk matrix for inhibitory neurons. Include time point and condition information for downstream analyses.meningeal_cells.rds: pseudobulk matrix for meningeal cells. Include time point and condition information for downstream analyses.microglia.rds: pseudobulk matrix for microglia. Include time point and condition information for downstream analyses.oligodendrocytes.rds: pseudobulk matrix for oligodendrocytes. Include time point and condition information for downstream analyses.opcs.rds: pseudobulk matrix for oligodendrocyte progenitor cells. Include time point and condition information for downstream analyses.percicytes.rds: pseudobulk matrix for pericytes. Include time point and condition information for downstream analyses.rgcs.rds: pseudobulk matrix for retinal ganglion cells. Include time point and condition information for downstream analyses.pseudobulk_split/: Includes pseudo bulk count matrices split by time point and condition. Used for input to PANDA for gene regulatory network construction.excitatory_neurons_AD12.Rdataexcitatory_neurons_AD6.Rdataexcitatory_neurons_WT12.Rdataexcitatory_neurons_WT6.Rdatainhibitory_neurons_AD12.Rdatainhibitory_neurons_AD6.Rdatainhibitory_neurons_WT12.Rdatainhibitory_neurons_WT6.Rdataseurat_preprocessing/filtered_seurat.rds : merged and filtered seurat objectintegrated_seurat.rds : seurat object integrated using harmonyclustered_seurat.rds : clustered seurat objectprocessed_seurat.rds : processed seurat object with final cell type assignments at specified resolution Raw data publicly available on GEO under series accession: GSE261596
Authors
- Soelter, Tabea M. ;
- Howton, Timothy C. ;
- Wilk, Elizabeth J. ;
- Whitlock, Jordan H. ;
- Clark, Amanda D. ;
- Birnbaum, Allison ;
- Patterson, Dalton C. ;
- Cortes, Constanza J. ;
- Lasseigne, Brittany N.
processed_data.tar.gz contains all files from the data directory associated with the 230418_TS_AgingCCC GitHub project and includes the following:CellRangerCounts/post_soupX/ : contains 12 directories for 12 samples, which each contain 3 files obtained from ambient RNA removal with soupX. Below is a representative example, but the post_soupX directory contains one directory for each of the 12 samples:S01_6m_AD/barcodes.tsvgenes.tsvmatrix.mtxpre_soupX/ : contains 12 directories for 12 samples, which each contain 2 files obtained from Cell Ranger after aligning fastq files to the reference genome. Below is a representative example, but this directory contains 1 directory for each individual sample:S01_6m_AD/outs/filtered_feature_ bc_matrix.h5raw_feature_bc_matrix.h5 PANDA_inputs/PANDA_exp_files_array.txt: Text files with files paths to expression inputs for PANDA gene regulatory networks.mm10_TFmotifs.txt: Mouse TF motif input for PANDA gene regulatory networks. Previously published in Whitlock et al. 2023 mm10_ppi.txt: Mouse protein-protein interaction information from SringDB input for PANDA gene regulatory networks. Previously published in Whitlock et al. 2023 ccc/nichenet_v2_prior/gr_network_mouse_21122021.rds : accessed in December 2023, gene regulation network – gene regulatory information from MultiNicheNetligand_target_matrix_nsga2r_final_mouse.rds: accessed in December 2023, ligand target matrix for mouse from MultiNicheNet.ligand_tf_matrix_nsga2r_final_mouse.rds: accessed in December 2023, mouse ligand tf matrix for signaling path determination from MultiNicheNetlr_network_mouse_21122021.rds : accessed in December 2023, ligand-receptor matrix from MultiNicheNetsignaling_network_mouse_21122021.rds : accessed in December 2023, signaling network – protein-protein interaction information from MultiNicheNet for mouseweighted_networks_nsga2r_final_mouse.rds : accessed in October 2023, networks weighted by literature evidence from MultiNicheNet for mousemultinichenet_output.rds : MultiNicheNet output for 3xTg-AD snRNA-seq data12m_signaling_igraph_objects.rds : list of igraph objects for 93 LRTs and their signaling mediators at 12 months6m_signaling_igraph_objects.rds :list of igraph objects for 2 LRTs and their signaling mediators at 6 monthselisa/: CSV files of measured OD values for every ELISA.240319_ELISA_Ab40.csv: OD measurements for Ab40240319_ELISA_Ab42.csv: OD measurements for Ab42240319_ELISA_total_tau.csv: OD measurements for Total Taupanda/: PANDA gene regulatory networks for each time point and condition in excitatory and inhibitory neurons. Used for differential gene targeting.excitatory_neurons_AD12.Rdataexcitatory_neurons_AD6.Rdataexcitatory_neurons_WT12.Rdataexcitatory_neurons_WT6.Rdatainhibitory_neurons_AD12.Rdatainhibitory_neurons_AD6.Rdatainhibitory_neurons_WT12.Rdatainhibitory_neurons_WT6.Rdatapseudobulk/: includes pseudo bulk matrices for every cell type which were used for downstream analyses. Each matrix also includes metadata information on condition and time point.all_counts_ls.rds: List of all the pseudo bulk matrices (below).astrocytes.rds: pseudobulk matrix for astrocytes. Include time point and condition information for downstream analyses.endothelial_cells.rds: pseudobulk matrix for endothelial cells. Include time point and condition information for downstream analyses.ependymal_cells.rds: pseudobulk matrix for ependymal cells. Include time point and condition information for downstream analyses.excitatory_neurons.rds: pseudobulk matrix for excitatory neurons. Include time point and condition information for downstream analyses.fibroblasts.rds: pseudobulk matrix for fibroblasts. Include time point and condition information for downstream analyses.inhibitory_neurons.rds: pseudobulk matrix for inhibitory neurons. Include time point and condition information for downstream analyses.meningeal_cells.rds: pseudobulk matrix for meningeal cells. Include time point and condition information for downstream analyses.microglia.rds: pseudobulk matrix for microglia. Include time point and condition information for downstream analyses.oligodendrocytes.rds: pseudobulk matrix for oligodendrocytes. Include time point and condition information for downstream analyses.opcs.rds: pseudobulk matrix for oligodendrocyte progenitor cells. Include time point and condition information for downstream analyses.percicytes.rds: pseudobulk matrix for pericytes. Include time point and condition information for downstream analyses.rgcs.rds: pseudobulk matrix for retinal ganglion cells. Include time point and condition information for downstream analyses.pseudobulk_split/: Includes pseudo bulk count matrices split by time point and condition. Used for input to PANDA for gene regulatory network construction.excitatory_neurons_AD12.Rdataexcitatory_neurons_AD6.Rdataexcitatory_neurons_WT12.Rdataexcitatory_neurons_WT6.Rdatainhibitory_neurons_AD12.Rdatainhibitory_neurons_AD6.Rdatainhibitory_neurons_WT12.Rdatainhibitory_neurons_WT6.Rdataseurat_preprocessing/filtered_seurat.rds : merged and filtered seurat objectintegrated_seurat.rds : seurat object integrated using harmonyclustered_seurat.rds : clustered seurat objectprocessed_seurat.rds : processed seurat object with final cell type assignments at specified resolution Raw data publicly available on GEO under series accession: GSE261596
Authors
- Soelter, Tabea M. ;
- Howton, Timothy C. ;
- Wilk, Elizabeth J. ;
- Whitlock, Jordan H. ;
- Clark, Amanda D. ;
- Birnbaum, Allison ;
- Patterson, Dalton C. ;
- Cortes, Constanza J. ;
- Lasseigne, Brittany N.
Supplemental File 6: SBAE-associated drugs’ DrugBank ID (drug_id), known drug targets (targets), drug metabolism enzymes (enzyme), transporters (transporter), and carrier (carrier). This file also contains the list of SBAE-associated drug targets (SBAE_Drug_Targets) and drug metabolism enzymes (SBAE_Drug_ENZ)
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 3: Fisher’s exact test results
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 3: Fisher’s exact test results
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 4: ALPACA pathway results for the core genes of the sex-specific communities across tissues
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 4: ALPACA pathway results for the core genes of the sex-specific communities across tissues
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 5: GO semantic similarity analysis results from gprofiler2 functional enrichment of the unique sex-specific activator and repressor edges
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 5: GO semantic similarity analysis results from gprofiler2 functional enrichment of the unique sex-specific activator and repressor edges
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.
Supplemental File 6: SBAE-associated drugs’ DrugBank ID (drug_id), known drug targets (targets), drug metabolism enzymes (enzyme), transporters (transporter), and carrier (carrier). This file also contains the list of SBAE-associated drug targets (SBAE_Drug_Targets) and drug metabolism enzymes (SBAE_Drug_ENZ)
Authors
- Fisher, Jennifer L. ;
- Clark, Amanda D. ;
- Jones, Emma F. ;
- Lasseigne, Brittany N.