23227 results for "ega"

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• Serum Proteome Profiling Identifies Early Markers of Therapeutic Response to Neoadjuvant Chemotherapy of Breast Cancer

  We performed a proteomic serum profiling of patients with non-metastasized breast cancer (BC) who received neoadjuvant chemotherapy (NACT). Samples were collected at three timepoints during NACT. Furthermore, we compared serum samples of BC patients pre-NACT to a control group of healthy volunteers.

  Dataset EGAD00010002330

• Multiomics characterisation of Long Covid

  We generated 10X, droplet-based paired snRNAseq+snATACseq (Multiome) of patients suffering from Long Covid. In total, we included 31 patients. Single nuclei libraries are genetically multiplexed across donors, genotype files are available to enable demultiplexing. Phenotype sheets provide information of pools/donors as well as donor phenotype.

  Dataset EGAD50000000202

• Exome sequencing of patient samples from study

  Exome sequencing data from FFPE preserved patient samples and patient-derived cultures. The goal of the study is to validate patient-derived cultures. Additional goal is to understand the relationship between omics and drug response.

  Study EGAS50000000171

• Whole transcriptome seq from patient samples

  Exome sequencing data from FFPE preserved patient samples and patient-derived cultures. The goal of the study is to validate patient-derived cultures. Additional goal is to understand the relationship between omics and drug response.

  Study EGAS50000000172

• Single-cell transcriptomic analyses of peritoneal metastases from patients with colorectal cancer metastasized to the peritoneum

  The data published here contains single-cell RNA-sequencing (scRNAseq) data as obtained using the 3' scRNAseq using Chromium Single Cell 3’ Reagent from 10X Genomics on peritoneal metastases (PM) from patients with colorectal cancer (CRC) and PM. Sequencing was performed in a paired-ended fashion on the NovaSeq6000.

  Dataset EGAD50000000249

• Liquid biopsy for molecular characterization of diffuse large B-cell lymphoma and early assessment of minimal residual disease

  Genomic data from Diffuse-large B-cell lymphomas at diagnosis and during the treatment. The processed samples were : -Circulating tumor DNA: at diagnosis and after2-cycles of treatment. -Tumour lymph node at diagnosis -Genomic DNA

  Dataset EGAD50000000310

• scRNA sequencing of in vitro generated suppressive myeloid cells using parental and Sialidase expressing A549 cancer cell lines

  Fresh peripheral blood mononuclear cells of four human donors were cultured together with either lung adenocarcinoma A549 cancer cells or A549-expressing H1N1 Sialidase cancer cells. These treatments induced the differentiation of donor cells into immunosuppressive MDSC-like cells, which were further subjected to single-cell RNA sequencing.

  Dataset EGAD50000000351

• nanostring_gene_expression

  Two to four sections of 10 µm thickness each (depending on sample size) from the respective formalin-fixed paraffin-embedded (FFPE) tissue sample were used for RNA isolation on 46 resected tumors as well as 17 paired biopsies. Digital gene expression analysis was performed on the NanoString nCounter platform, utilizing the NanoString MAX/FLEX system, with the PanCancer Immune Profiling panel as well as the PanCancer Pathway panel provided by NanoString.

  Dataset EGAD00010002654

• Highly complex single-cell mixture of 5 individuals of low cell number

  Mixture of 5 unrelated individuals sequenced by 10x as a scATAC-seq with low cell count. The dataset was then processed by Cell Ranger and deconvoluted to yield each individuals genetic profile using the De-goulash pipeline. The separation file is submitted as the processed file. The bam are submitted as unprocessed files.

  Dataset EGAD50000000479

• ABCB1 expression in HCC biopsies

  We analyzed the ABCB1 expression in RNA-seq data of 134 HCCs (120 of these were previously published), including the biopsies from which the 3 doxorubicin-sensitive and 3 doxorubicin-resistant HCCOs were derived.

  Study EGAS50000000041