cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13297614.v1
title: Additional file 9 of Major SCP/TAPS protein expansion in Lucilia cuprina is associated with novel tandem array organisation and domain architecture

description: Additional file 9: Data S6. LCSc0-DD1 amplicon sequencing data. A: Representation of the largest mapped amplicon to LCSc0-DD1, indicating two distinct CAP domains (red square brackets) and primer locations (red arrows). B: and C: LCSc0-DD1 amplicon sequence data in gb file format; sequenced in forward and reverse direction, respectively.
DOI: 10.6084/m9.figshare.13297614
title: Additional file 9 of Major SCP/TAPS protein expansion in Lucilia cuprina is associated with novel tandem array organisation and domain architecture

description: Additional file 9: Data S6. LCSc0-DD1 amplicon sequencing data. A: Representation of the largest mapped amplicon to LCSc0-DD1, indicating two distinct CAP domains (red square brackets) and primer locations (red arrows). B: and C: LCSc0-DD1 amplicon sequence data in gb file format; sequenced in forward and reverse direction, respectively.
DOI: 10.6084/m9.figshare.16682850
title: Additional file 3 of Odorant-binding proteins in canine anal sac glands indicate an evolutionarily conserved role in mammalian chemical communication

description: Additional file 3. Proteins identified by LC-MS/MS in the anal sac gland secretions of 21 samples (17 dogs). All 56 proteins are listed in major functional classes. For each protein, domain families, Uniprot accession numbers and normalised abundance per sample are provided.
DOI: 10.6084/m9.figshare.13310776
title: Additional file 1 of Investigation of the piroplasm diversity circulating in wildlife and cattle of the greater Kafue ecosystem, Zambia

description: Additional file 1. Metadata from Illumina MiSeq sequencing and ASV analysis.
DOI: 10.6084/m9.figshare.13310776.v1
title: Additional file 1 of Investigation of the piroplasm diversity circulating in wildlife and cattle of the greater Kafue ecosystem, Zambia

description: Additional file 1. Metadata from Illumina MiSeq sequencing and ASV analysis.
DOI: 10.6084/m9.figshare.13316791
title: Additional file 1 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 1: FASTA file. Deduced amino acid sequences from transcripts of BME26 cells and protein sequences from bacteria of the genus Rickettsia.
DOI: 10.6084/m9.figshare.13316791.v1
title: Additional file 1 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 1: FASTA file. Deduced amino acid sequences from transcripts of BME26 cells and protein sequences from bacteria of the genus Rickettsia.
DOI: 10.6084/m9.figshare.13316797
title: Additional file 3 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 3: Table S1. Proteins differentially expressed in BME26 cells after 6 h of infection with R. rickettsii.
DOI: 10.6084/m9.figshare.13316800
title: Additional file 4 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 4: Table S2. Proteins exclusively identified in noninfected BME26 cells (control) at 6 h.
DOI: 10.6084/m9.figshare.13316803
title: Additional file 5 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 5: Table S3. Proteins exclusively identified in R. rickettsii-infected BME26 cells at 6 h.
DOI: 10.6084/m9.figshare.13316803.v1
title: Additional file 5 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 5: Table S3. Proteins exclusively identified in R. rickettsii-infected BME26 cells at 6 h.
DOI: 10.6084/m9.figshare.13316797.v1
title: Additional file 3 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 3: Table S1. Proteins differentially expressed in BME26 cells after 6 h of infection with R. rickettsii.
DOI: 10.6084/m9.figshare.13316806
title: Additional file 6 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 6: Table S4. Proteins differentially expressed in BME26 cells after 48 h of infection with R. rickettsii.
DOI: 10.6084/m9.figshare.13316806.v1
title: Additional file 6 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 6: Table S4. Proteins differentially expressed in BME26 cells after 48 h of infection with R. rickettsii.
DOI: 10.6084/m9.figshare.13316809.v1
title: Additional file 7 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 7: Table S5. Proteins exclusively identified in noninfected BME26 cells (control) at 48 h.
DOI: 10.6084/m9.figshare.13316812.v1
title: Additional file 8 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 8: Table S6. Proteins exclusively identified in R. rickettsii-infected BME26 cells at 48 h.
DOI: 10.6084/m9.figshare.13316800.v1
title: Additional file 4 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 4: Table S2. Proteins exclusively identified in noninfected BME26 cells (control) at 6 h.
DOI: 10.6084/m9.figshare.13316812
title: Additional file 8 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 8: Table S6. Proteins exclusively identified in R. rickettsii-infected BME26 cells at 48 h.
DOI: 10.6084/m9.figshare.13316809
title: Additional file 7 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 7: Table S5. Proteins exclusively identified in noninfected BME26 cells (control) at 48 h.
DOI: 10.6084/m9.figshare.13316815
title: Additional file 9 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 9: Table S7. Rickettsia spp. proteins identified in BME26 cells by LC-MS/MS.
DOI: 10.6084/m9.figshare.13316815.v1
title: Additional file 9 of The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells

description: Additional file 9: Table S7. Rickettsia spp. proteins identified in BME26 cells by LC-MS/MS.
DOI: 10.6084/m9.figshare.16683029.v1
title: Additional file 3 of Population genetic structure of the malaria vector Anopheles minimus in Thailand based on mitochondrial DNA markers

description: Additional file 3: Table S3. The GenBank database accession numbers of cytochrome c oxidase subunit I (COI) gene.
DOI: 10.6084/m9.figshare.16683032.v1
title: Additional file 4 of Population genetic structure of the malaria vector Anopheles minimus in Thailand based on mitochondrial DNA markers

description: Additional file 4: Table S4. The GenBank database accession numbers of cytochrome c oxidase subunit II (COII) gene.
DOI: 10.6084/m9.figshare.16683035.v1
title: Additional file 5 of Population genetic structure of the malaria vector Anopheles minimus in Thailand based on mitochondrial DNA markers

description: Additional file 5: Table S5. The GenBank database accession numbers of cytochrome b (Cytb) gene.
DOI: 10.6084/m9.figshare.16683038.v1
title: Additional file 6 of Population genetic structure of the malaria vector Anopheles minimus in Thailand based on mitochondrial DNA markers

description: Additional file 6: Table S6. The GenBank database accession numbers of cytochrome c oxidase subunit II (COII) gene as the 20 years An. minimus population sequences.
DOI: 10.6084/m9.figshare.16683036.v1
title: Additional file 2 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 2: Table S1. Differentially expressed genes in MDA-MB-231 and BT-549 treated with 5-Azacytidine.
DOI: 10.6084/m9.figshare.16683039.v1
title: Additional file 3 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 3: Table S2. Differentially expressed genes in MDA-MB-231 and BT-549 treated with Decitabine.
DOI: 10.6084/m9.figshare.16683042.v1
title: Additional file 4 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 4: Table S3. Affected functional categories in MDA-MB-231 and BT-549 TNBC cells treated with Decitabine, 5-Azacytidine compared to DMSO control treated cells based on RNAseq and IPA analysis.
DOI: 10.6084/m9.figshare.16683045.v1
title: Additional file 5 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 5: Tables S4. Affected upstream regulator networks in MDA-MB-231 and BT-549 TNBC cells treated with Decitabine, 5-Azacytidine compared to DMSO control treated cells.
DOI: 10.6084/m9.figshare.16683048.v1
title: Additional file 6 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 6: Table S5. Differentially expressed lncRNAs in MDA-MB-231 and BT-549 treated with 5-Azacytidine.
DOI: 10.6084/m9.figshare.16683051.v1
title: Additional file 7 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 7: Table S6. Differentially expressed lncRNAs in MDA-MB-231 and BT-549 treated with Decitabine.
DOI: 10.6084/m9.figshare.16683054.v1
title: Additional file 8 of Transcriptional alterations of protein coding and noncoding RNAs in triple negative breast cancer in response to DNA methyltransferases inhibition

description: Additional file 8: Table S7. Common upregulated and downregulated lncRNA transcripts in lncRNA transcripts in MDA-MB-231 and BT-549 TNBC cells treated with Decitabine, 5-Azacytidine compared to DMSO control treated cells.
DOI: 10.6084/m9.figshare.16683056.v1
title: Additional file 1 of Factors predicting readmission in patients with COVID-19

description: Additional file 1. Raw data for possible analysis and review studies.
DOI: 10.6084/m9.figshare.16682988.v1
title: Additional file 1 of Prevalence of carbapenemase-producing Klebsiella pneumoniae at a tertiary care hospital in Kathmandu, Nepal

description: Additional file 1: Table S1. Samplewise antibiogram of K. Pneumoniae isolates.
DOI: 10.6084/m9.figshare.13357629
title: Additional file 6 of Developmental regulation of Dirofilaria immitis microfilariae and evaluation of ecdysone signaling pathway transcript level using droplet digital PCR

description: Additional file 6: Video S5. Imaging of live larva. Microfilariae were cultured with An. gambiae 4a-3B cells and imaged over time to observe if any shedding took place. Pre-sausage stage starts from 00:00:00; sausage stage starts from 00:00:16; late sausage stage starts from 00:00:21.
DOI: 10.6084/m9.figshare.13357629.v1
title: Additional file 6 of Developmental regulation of Dirofilaria immitis microfilariae and evaluation of ecdysone signaling pathway transcript level using droplet digital PCR

description: Additional file 6: Video S5. Imaging of live larva. Microfilariae were cultured with An. gambiae 4a-3B cells and imaged over time to observe if any shedding took place. Pre-sausage stage starts from 00:00:00; sausage stage starts from 00:00:16; late sausage stage starts from 00:00:21.
DOI: 10.6084/m9.figshare.16683123
title: Additional file 2 of The utility of basic blood counts, WBC histogram and C-reactive protein in detecting malaria

description: Additional file 2: Annex 2. Raw data.
DOI: 10.6084/m9.figshare.16683123.v1
title: Additional file 2 of The utility of basic blood counts, WBC histogram and C-reactive protein in detecting malaria

description: Additional file 2: Annex 2. Raw data.
DOI: 10.6084/m9.figshare.16683126
title: Additional file 1 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 1. A 608 selected metabolic gene sets, divided into 50 gene set clusters. B Gene set enrichment scores of metabolic gene sets, for GEO mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified. C Gene set enrichment scores of metabolic gene sets, for TCGA mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified. D Gene set enrichment scores of metabolic gene sets, for CCLE mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified. E Gene set enrichment scores of metabolic gene sets, for GDSC mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified.
DOI: 10.6084/m9.figshare.16683126.v1
title: Additional file 1 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 1. A 608 selected metabolic gene sets, divided into 50 gene set clusters. B Gene set enrichment scores of metabolic gene sets, for GEO mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified. C Gene set enrichment scores of metabolic gene sets, for TCGA mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified. D Gene set enrichment scores of metabolic gene sets, for CCLE mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified. E Gene set enrichment scores of metabolic gene sets, for GDSC mTCs -- Both for mTCs and gene sets, the amount of absolute enrichment scores &gt; 3 are quantified.
DOI: 10.6084/m9.figshare.16683129
title: Additional file 2 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 2. A Tissue type composition of metabolic subtypes as defined for the GEO dataset. B Tissue type composition of metabolic subtypes as defined for the TCGA dataset. C Median activity score of GEO mTCs in GEO metabolic subtypes. D Median activity score of TCGA mTCs in TCGA metabolic subtypes.
DOI: 10.6084/m9.figshare.16683129.v1
title: Additional file 2 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 2. A Tissue type composition of metabolic subtypes as defined for the GEO dataset. B Tissue type composition of metabolic subtypes as defined for the TCGA dataset. C Median activity score of GEO mTCs in GEO metabolic subtypes. D Median activity score of TCGA mTCs in TCGA metabolic subtypes.
DOI: 10.6084/m9.figshare.16683132
title: Additional file 3 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 3. A Clinicopathological parameters of breast cancer tissue samples with DRFS survival data in the GEO dataset, stratified per metabolic subtype. Given are only those clusters with &gt;50 breast cancer samples. B Distribution of PAM50 molecular intrinsic subtype of breast cancer tissue samples, stratified per metabolic subtype. Given are only those clusters with &gt;50 breast cancer samples.
DOI: 10.6084/m9.figshare.16683132.v1
title: Additional file 3 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 3. A Clinicopathological parameters of breast cancer tissue samples with DRFS survival data in the GEO dataset, stratified per metabolic subtype. Given are only those clusters with &gt;50 breast cancer samples. B Distribution of PAM50 molecular intrinsic subtype of breast cancer tissue samples, stratified per metabolic subtype. Given are only those clusters with &gt;50 breast cancer samples.
DOI: 10.6084/m9.figshare.16683135
title: Additional file 4 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 4. A Spearman correlation coefficients between the IC50 values of drugs and the activity of CCLE mTCs in cell lines. B Spearman correlation coefficients between the IC50 values of drugs and the activity of GDSC mTCs in cell lines. C Spearman correlation coefficients between the IC50 values of metabolically targeted drugs and the activity of GDSC mTCs in cell lines.
DOI: 10.6084/m9.figshare.16683135.v1
title: Additional file 4 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 4. A Spearman correlation coefficients between the IC50 values of drugs and the activity of CCLE mTCs in cell lines. B Spearman correlation coefficients between the IC50 values of drugs and the activity of GDSC mTCs in cell lines. C Spearman correlation coefficients between the IC50 values of metabolically targeted drugs and the activity of GDSC mTCs in cell lines.
DOI: 10.6084/m9.figshare.16683138
title: Additional file 5 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 5. A Spearman correlation coefficients between the CIBERSORT estimated immune fractions and the activity of GEO mTCs in a sample. B Spearman correlation coefficients between the CIBERSORT estimated immune fractions and the activity of TCGA mTCs in a sample.
DOI: 10.6084/m9.figshare.16683138.v1
title: Additional file 5 of Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines

description: Additional file 5. A Spearman correlation coefficients between the CIBERSORT estimated immune fractions and the activity of GEO mTCs in a sample. B Spearman correlation coefficients between the CIBERSORT estimated immune fractions and the activity of TCGA mTCs in a sample.
DOI: 10.6084/m9.figshare.16683128
title: Additional file 1 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 1: Table S1. List of samples and associated metadata.
DOI: 10.6084/m9.figshare.16683125
title: Additional file 10 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 10: Table S9. H3K4me3 differential analysis results for 1-year-old children.
DOI: 10.6084/m9.figshare.16683125.v1
title: Additional file 10 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 10: Table S9. H3K4me3 differential analysis results for 1-year-old children.
DOI: 10.6084/m9.figshare.16683128.v1
title: Additional file 1 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 1: Table S1. List of samples and associated metadata.
DOI: 10.6084/m9.figshare.16683134
title: Additional file 3 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 3: Table S2. Pre-processing results.
DOI: 10.6084/m9.figshare.16683134.v1
title: Additional file 3 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 3: Table S2. Pre-processing results.
DOI: 10.6084/m9.figshare.16683140
title: Additional file 4 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 4: Table S3. H3K27ac differential analysis results for 18-week-old children.
DOI: 10.6084/m9.figshare.16683140.v1
title: Additional file 4 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 4: Table S3. H3K27ac differential analysis results for 18-week-old children.
DOI: 10.6084/m9.figshare.16683143
title: Additional file 5 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 5: Table S4. H3K27ac differential analysis results for 1-year-old children.
DOI: 10.6084/m9.figshare.16683143.v1
title: Additional file 5 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 5: Table S4. H3K27ac differential analysis results for 1-year-old children.
DOI: 10.6084/m9.figshare.16683146
title: Additional file 6 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 6: Table S5. Significant histone marks identified with LOLA for 18-week-old children.
DOI: 10.6084/m9.figshare.16683146.v1
title: Additional file 6 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 6: Table S5. Significant histone marks identified with LOLA for 18-week-old children.
DOI: 10.6084/m9.figshare.16683149
title: Additional file 7 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 7: Table S6. Significant DNA-binding factors identified with LOLA for 18-week-old children.
DOI: 10.6084/m9.figshare.16683149.v1
title: Additional file 7 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 7: Table S6. Significant DNA-binding factors identified with LOLA for 18-week-old children.
DOI: 10.6084/m9.figshare.16683152
title: Additional file 8 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 8: Table S7. Significant histone marks identified with LOLA for 1-year-old children.
DOI: 10.6084/m9.figshare.16683152.v1
title: Additional file 8 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 8: Table S7. Significant histone marks identified with LOLA for 1-year-old children.
DOI: 10.6084/m9.figshare.16683155
title: Additional file 9 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 9: Table S8. Significant DNA-binding factors identified with LOLA for 1-year-old children.
DOI: 10.6084/m9.figshare.16683155.v1
title: Additional file 9 of Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism

description: Additional file 9: Table S8. Significant DNA-binding factors identified with LOLA for 1-year-old children.