1248 results for ""halted+early"+"slower-than-anticipated+enrollment"+hospitalized+oral+adaptive+platform"

in 16.09 milliseconds.

• Multi-omics analysis of serial samples from metastatic TNBC patients on PARP inhibitor monotherapy provide insight into rational PARP inhibitor therapy combinations

  In a pilot study, we evaluated the safety and efficacy of olaparib/durvalumab combination treatment in mTNBC patients and the feasibility of real-time deep analysis of serial tumor samples from triple negative breast cancer patients to identify mechanisms of resistance and treatment opportunities. This study used the SMMART analytic platform at OHSU KCI and incorporated comprehensive multi-omic analysis of serial liquid and tumor biopsies. Deep analysis of longitudinal biopsies combined with a robust computational biology pipeline identified multiple PARPi-induced changes in immune activation, DNA damage checkpoint activation, apoptosis and signaling pathways including RTK, PI3K-AKT and RAS-MAPK. These emergent tumor and immune state changes could act as biomarker targets to be used in selecting patient specific combination therapies.

  Study EGAS00001005479

• Patient-derived organoids as a novel tool to study cervical cancer

  Cervical cancer is the most prevalent gynecological malignancy worldwide, often caused by infection with a high-risk human papillomavirus. Currently, there are only limited number of human-derived culture systems available that enable to study the viral infection for short-term. Here, we report on establishment of long-term human-derived organoid cultures from both healthy ecto- and endocervical epithelia that closely recapitulate the tissues of origin by maintaining the authentic histological and tissue-specific gene expression profiles. Additionally, using material from patients’ Pap-brush material, a successful panel of long-term patient-derived cancer organoids was established that maintain the causative viral infection in vitro and show differential response to common chemotherapy regimens. This study provides a promising platform for cervical cancer research and studying direct virus-host interactions.

  Study EGAS00001004439

• Alterations in the gut microbiome implicate key taxa and metabolic pathways across inflammatory arthritis phenotypes

  Musculoskeletal diseases affect up to 20% of adults worldwide. The gut microbiome has been implicated in inflammatory conditions, but large-scale metagenomic evaluations have not yet traced the routes by which immunity in the gut affects inflammatory arthritis. To characterize the community structure and associated functional processes driving gut microbial involvement in arthritis, the Inflammatory Arthritis Microbiome Consortium investigated 440 stool shotgun metagenomes comprising 221 adults diagnosed with rheumatoid arthritis, ankylosing spondylitis, or psoriatic arthritis and 219 healthy controls and individuals with joint pain without an underlying inflammatory cause. Diagnosis explained about 2% of gut taxonomic variability, which is comparable in magnitude to inflammatory bowel disease. We identified several candidate microbes with differential carriage patterns in patients with elevated blood markers for inflammation. Our results confirm and extend previous findings of increased carriage of typically oral and inflammatory taxa and decreased abundance and prevalence of typical gut clades, indicating that distal inflammatory conditions, as well as local conditions, correspond to alterations to the gut microbial composition. We identified several differentially encoded pathways in the gut microbiome of patients with inflammatory arthritis, including changes in vitamin B salvage and biosynthesis and enrichment of iron sequestration. Although several of these changes characteristic of inflammation could have causal roles, we hypothesize that they are mainly positive feedback responses to changes in host physiology and immune homeostasis. By connecting taxonomic alternations to functional alterations, this work expands our understanding of the shifts in the gut ecosystem that occur in response to systemic inflammation during arthritis.

  Dataset EGAD50000000567

• Immunophenotyping in a COVID-19 Cohort (IMPACC) Transcriptomics and Genotyping Assays

  IMPACC (IMmunoPhenotyping Assessment in a COVID-19 Cohort) is a prospective longitudinal cohort study (NCT04378777) launched in May 2020 in response to the worldwide pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was funded by the National Institute of Allergy and Infectious Diseases (NIAID) of the National Institute of Health (NIH). Patient enrollment and sample analysis involved 20 hospitals associated with 15 U.S. biomedical research centers and 11 centralized Core immunoassay laboratories.The study aimed to enable the identification of potential biomarkers and inform future therapeutic interventions using a longitudinal approach encompassing the whole disease course for a comprehensive understanding of the contributions of the pathogen and host immune response in modulating the manifestations, severity, and post-acute sequelae of the infection. IMPACC enrolled close to 1200 adult symptomatic, molecularly confirmed hospitalized COVID-19 patients in the study within 48 hours of their hospital admission. Clinical data and biological samples (blood, mid-turbinate nasal swabs, and esophageal aspirant) were collected according to minimal risk guidelines at enrollment and on days 4, 7, 14, 21, and 28. Biological samples were collected at 3-month intervals up to 12 months after hospital discharge to assess functional and immunologic recovery measures. Sample collection, processing, and storage procedures were standardized across sites, and samples were transported to centralized assay-specific core laboratories (Core Labs) in batches for testing and analysis. The description of outcome severity was not limited to survival versus death but encompassed a clinical trajectory approach using 5 groups leveraging longitudinal data based on time in the hospital, disease severity by ordinal scale based on the degree of respiratory illness, and presence or absence of limitations at discharge. Disease severity was assessed based on the degree of respiratory illness using a 7-point ordinal scale adapted from the World Health Organization COVID-19 and NIAID disease ordinal severity scales. DNA for genetic analyses was collected from whole blood at a single time point. To identify any genomic determinants of severe COVID-19 disease, single-nucleotide polymorphism (SNP) genotyping and exome sequencing were conducted to assess genetic variants associated with individual susceptibility to severe disease. In addition, IMPACC included bulk transcriptomic analysis of upper airway (nasal swaps) samples, lower airway (esophageal aspirant) samples, and peripheral blood mononuclear cells (PBMCs) to evaluate dynamic changes in cellular composition and cellular response during the course of the disease. Reads were aligned to the GRCh38 human reference genome. Additional information for the IMPACC study has been submitted to The Immunology Database and Analysis Portal (ImmPort) under study accession SDY1760. Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Dr. Steven Kleinstein (steven.kleinstein@yale.edu).

  Study phs002686

• Exploiting evolutionary steering in cancer therapy

  This dataset contains 9 bam files of exome sequencing for an experiment of evolved resistance. Here a barcoded cell line (HCC827 - POT) has been treated under high concentrations of gefitinib (GEF) and trametinib (TRM) until resistance has evolved, as well as under control conditions (DMSO). The dataset contains exome sequencing of confluent cells for three replicates for each anti-cancer drug as well as two replicates of growth under DMSO conditions. The original barcoded cell line (POT) was also exome sequenced and is included in the cohort. Sequencing was performed on the Illumina NovaSeq platform.

  Dataset EGAD00001005782

• Epigenomic timecourse of brain organoid development

  Single-cell Cut&Tag of three histone modifications and chromatin accessibility over a timecourse of brain organoid development from pluripotency. We profiled 5 time points of brain organoid development and 2 time points of retinal organoid development. At each time point used scCut&Tag to profile histone modifications (H3K27me3, H3K27ac, H3K4me3) as well as multiome-seq (10X) to jointly profile transcriptome and chromatin accessibility from the same cell suspension. Library preparation was carried out with the 10x genomics platform.

  Dataset EGAD50000000222

• Breakfast trial transcriptomic profiles

  The dataset consists in fastq files generated with RNA sequencing of 55 samples from 29 patients with stage I-III TNBC treated with anthracycline-taxane chemotherapy plus fasting-mimicking diet plus/minus metformin in the context of the BREAKFAST trial (NCT04248998). Samples are fresh-frozen tumor samples at baseline and 14-21 days after the first treament cycle sequenced to identify early predictors of treatment activity. Each sample is sequenced in multiple lanes (four or eight lanes each) and in paired ends mode (R1 and R2 fastq files). Samples were sequenced by an Illumina Nextseq500 platform.

  Dataset EGAD50000000968

• NGS-Based Mutational Analysis of 87 PMBL Patients from the GAINED Cohort (Subset of 382 Sequenced Patients)

  Targeted DNA sequencing was performed on DNA extracted from 87 formalin-fixed paraffin-embedded (FFPE) samples, representing a subset of the 382 sequenced patients from the GAINED cohort. A custom “Lymphopanel” was used to identify mutations in 70 genes associated with lymphomagenesis. Library preparation, exome capture, sequencing, and analysis were conducted by IntegraGen SA (Evry, France). Sequencing was performed on an Illumina HiSeq4000 platform, with variant calling and annotation using established bioinformatics tools such as MuTect and VEP.

  Dataset EGAD50000001359

• Bulk TCRseq data from 149 patients with bladder cancer

  For this dataset we performed bulk TCRseq on tumor and serial blood samples from patients with muscle invasive bladder cancer (n patients = 119, n blood = 209, n tumor = 28) or non-muscle invasive bladder cancer (n patients = 30, n blood = 56, n tumor = 19) for a total of 149 patients and 312 samples. Each sample consists of a paired fastq file. Sequenced on the Ilumina NovaSeq6000 platform using SP and S1 flow cells (v1.5, 2x101 cycles), with a mean yield of 42 million reads covering the CDR3β region.

  Dataset EGAD50000001382

• Single-cell RNA-Seq analysis of thymic ILC1 progenitors and NK cell differentiation This analysis involved a multiplexed sequencing run to study thymic innate lymphoid cells (ILCs) and NK progenitors. The generated data requires a demultiplexing file to separate and identify the individual sample tags for downstream analysis.

  This dataset contains multiplexed single-cell RNA sequencing (scRNA-seq) data from human thymic tissue, focusing on ILC1 progenitors and NK cell differentiation. The data were generated using the BD Rhapsody system and sequenced on the Illumina NovaSeq S4 platform. A demultiplexing file is required to assign sample identities.

  Dataset EGAD50000001157

• Whole-genome sequencing data of poorly differentiated thyroid carcinomas and matched blood from six patients

  This dataset contains raw sequencing reads in FASTQ format from 12 samples, comprising paired tumour and matched blood DNA from six patients diagnosed with poorly differentiated thyroid carcinoma (PDTC). Genomic DNA was extracted from fresh-frozen tumour tissue and peripheral blood using standard protocols. Whole-genome sequencing was performed on the Illumina HiSeq X Ten platform, generating paired-end reads at an average depth of approximately 20X. These data support investigations into the somatic mutational landscape and genomic alterations associated with PDTC.

  Dataset EGAD50000001628

• mRNA-seq data from ALL patients with NUP214::ABL1 disease

  Dataset contains mRNA-sequencing data (fastq files) from 2 patients with NUP214::ABL1 disease (one T-ALL and one B-ALL patient). Patient samples (peripheral blood or bone marrow) were taken at diagnosis (B-ALL) or relapse (T-ALL). mRNA was extracted from lymphoblasts and underwent paired-end sequencing (75bp) using the Illumina NextSeq platform. Transcriptomic data was used for identification of gene fusions, SNVs and InDels. mRNA-seq data for an additional B-ALL patient with NUP214::ABL1 disease utilised in this study has already been published (EGAS00001006460).

  Dataset EGAD50000001395

• The dataset for "ctDNA residual disease analyses during perioperative nivolumab or nivolumab plus ipilimumab in resectable diffuse pleural mesothelioma”

  The dataset for the study “ctDNA residual disease analyses during perioperative nivolumab or nivolumab plus ipilimumab in resectable diffuse pleural mesothelioma” includes 169 bam files from whole genome sequencing on the Illumina NovaSeq6000 platform. The samples analyzed include tumor (n=28) and normal (n=28) DNA samples, and serial plasma cfDNA (n=113) samples from 28 individuals with resectable diffuse pleural mesothelioma, treated with nivolumab or nivolumab plus ipilimumab on the NCT03918252 trial.

  Dataset EGAD50000001701

• RIP-SeqRaw data

  This dataset contains the raw count matrix generated in the PTBP1 project. Sequencing data were obtained from bulk directional RNA-seq and RIP-seq experiments performed on a NovaSeq 6000 platform (2×100 bp paired-end reads). Read counts were computed using HTSeq-count, without normalization. The dataset comprises two groups of samples: controls and patients. For each group, both input and immunoprecipitated samples are available. Patient samples correspond to skin biopsies from individuals affected by a neurodevelopmental disorder associated with variable skeletal dysplasia and disproportionate short-limbed short stature.

  Dataset EGAD50000001722

• Visium CytAssist Spatial Gene Expression analysis for glioblastoma

  The glioblastoma spatial transcriptomics dataset was generated from 4 FFPE fixed adult glioblastoma samples, using the 10x Genomics Visium platform, producing raw FASTQ files, spatial feature matrices (.h5, .mtx, .tsv), and paired histology images (.tif). Spot-level transcript counts were aligned to tissue architecture and processed in Seurat, with results stored as .rds objects. Data visualization was performed using SpatialFeaturePlot, and quantitative analyses were supported by custom Matlab scripts. The dataset provides both raw and processed files, offering reproducible spatially resolved transcriptomic profiles of glioblastoma tissue sections

  Dataset EGAD50000001767

• Transcriptome data of WS patients and controls

  Fibroblasts of 4 WS patients and 4 sex matched controls were transformed into iPSCs, which were then differentiated to Neuroepithelial Stem Cells (NESCs), and further differentiated into neurons. RNA sequencing was performed at the NESC stage and after 4 and 8 weeks of neural development for 3 replicates per individual using the Illumina TruSeq stranded library polyA method on the NovaSeq6000 platform at NGI Stockholm. The data was preprocessed using the nf-core/rnaseq (https://nf-co.re/rnaseq) that includes quality control, data cleaning, and read alignment to GRCh38 (STAR, v2.6.1d)

  Dataset EGAD50000001728

• WES for 42 patients with pleural mesothelioma (Not matched)

  The dataset contains WES data (bam files) for 42 pleural mesothelioma samples. Nextera Flex for Enrichment solution (Illumina, San Diego, CA) in combination with SureSelect Human All Exon V7 probes (Agilent, Santa Clara, CA) was used for library preparation and generated libraries were sequenced on NovaSeq 6000 (Illumina, San Diego, CA) in 150 pair-end mode. Quality control of the raw data was conducted using fastQC (v. 0.11.8) (https://www.bioinformatics. babraham.ac.uk/projects/fastqc/). WES data were then analyzed with the DRAGEN Bio IT platform 49 (version 4.2.4) and the human GRCh38 as reference genome.

  Dataset EGAD50000002127

• WES for 45 patients with pleural mesothelioma (Matched)

  The dataset contains WES data (bam files) for 45 pleural mesothelioma samples. Nextera Flex for Enrichment solution (Illumina, San Diego, CA) in combination with SureSelect Human All Exon V7 probes (Agilent, Santa Clara, CA) was used for library preparation and generated libraries were sequenced on NovaSeq 6000 (Illumina, San Diego, CA) in 150 pair-end mode. Quality control of the raw data was conducted using fastQC (v. 0.11.8) (https://www.bioinformatics. babraham.ac.uk/projects/fastqc/). WES data were then analyzed with the DRAGEN Bio IT platform 49 (version 4.2.4) and the human GRCh38 as reference genome.

  Dataset EGAD50000002128

• Transcriptomic analyisis of 54 samples of AC16 cells exposed to trastuzumab

  Data of 54 samples with their 54 paired fastaq files that were sequenced in a Novaseq 6000 platform. Samples correspond to the three biological replicates of AC16 cells (i.e. AC16, C1, C2). Each biological replicate was edited to carry either of the three different genotypes of the rs1136201 variant (i.e. AA, AG, GG) and each genotype was enriched to express HER2 protein in three levels (i.e. low, medium and high expression) as selected by FACS. Additionally, treatment of each sample was performed and sequenced in duplicates (i.e. 1 and 2)

  Dataset EGAD50000001705

• Neo-RT sWGS

  Paired plasma cell-free DNA (cfDNA) samples were collected from 11 breast cancer patients before and after radiotherapy. Sequencing libraries were prepared using the Agilent SureSelect XT HS2 kit and sequenced on the Illumina NovaSeq 6000 platform. Neo-RT (NCT03818100) is a non-randomised, single-arm feasibility study evaluating neoadjuvant radiotherapy combined with endocrine therapy in women with ER-positive, HER2-negative breast cancer. Eligible patients had grade 1 or 2 disease (grade 3 permitted if chemotherapy was contraindicated) and a palpable tumour size ≥20 mm, for whom radiotherapy was intended to facilitate breast-conserving surgery.

  Dataset EGAD50000002238

• RNA-Seq Profiles from the CheckMate-577 Clinical Trial

  The dataset contains RNAseq profiles of 386 patients from the CheckMate-577 (CA209-577) clinical trial whose ICF allows data deposition into a public repository. The Allprep DNA/RNA FFPE kit was used to simultaneously purify genomic DNA and total RNA from formalin-fixed, paraffin embedded (FFPE) tissue sections. RNA was analyzed using the Illumina TruSeq RNA Access method for library preparation, followed by sequencing on the Illumina NovaSeq platform with a 50bp paired-end strategy and a target read depth of 50M per sample. Fastq files are included.

  Dataset EGAD50000002394

• LongRNA_Monocytes

  This dataset consists of bulk RNA sequencing profiles generated from monocytes isolated from peripheral blood mononuclear cells (PBMCs) collected from 315 patients enrolled in the ImmunAID consortium. Each sample corresponds to a unique patient, providing a resource to investigate transcriptional variation in circulating monocytes across the cohort. PBMCs were isolated from whole blood, and monocytes were subsequently enriched using standard immunological protocols. Total RNA was extracted and libraries were prepared using the SMART-Seq mRNA Library Preparation Kit with Unique Molecular Identifiers (UMIs). Sequencing was performed on an Illumina NovaSeq 6000 platform following manufacturer-recommended protocols.

  Dataset EGAD50000002341

• Exome Sequencing to Identify Causes of Leukaemia Predisposing Congenital Neutropenias (2019-08-19)

  The objective of this study is to identify the causative genes in two unrelated congenital neutropenia families. We aim to whole exome sequence the affected individuals, unaffected siblings and parents in both cases in an effort to idenitfy the causative genetic mutation. Exome capture will be performed using Agilent SureSelect system. Subsequently, exome libraries will sequenced using the Illumina HiSeq platform. Sequence variant calling will be done in house and common variants excluded using public databases and data from unaffected family members. . This dataset contains all the data available for this study on 2019-08-19.

  Dataset EGAD00001005264

• Pediatric Papillary Thyroid Carcinoma Whole Exome Sequencing

  Exome libraries from 47 blood and tissue samples were prepared using Agilent SureSelect Human Exome Library Preparation V5 kit and the Agilent Bravo Automation System fExome libraries were pooled and sequenced with the TruSeq SBS sequencing chemistry using a V4 high throughput flowcell on a HiSeq 2500 platform following Illumina’s recommended protocol. Approximately 6-8 gigabases of raw paired end data of 126-bases were generated per exome library.

  Dataset EGAD00001007502

• RNA-seq Revision

  The dataset comprises bulk RNA‑seq libraries generated on the Illumina NextSeq 500 platform, including primary human hepatocytes (four donors), colon tissue (four masked replicates), and a comprehensive set of iPSC‑derived samples from the JHU106, ChiPSC18, ChiPSC22, and H9 lines. The collection covers multiple differentiation stages from iPSC to DE to HLC and cultivation protocols (CEL, HAY, SPH) with at least three replicates per condition. All sequencing data are provided as raw FASTQ files, with colon samples delivered as masked FASTQ in accordance with patient consent requirements.

  Dataset EGAD00001008951

• scRNAseq of ALS patients

  The data set contains information from 9 individuals (5 ALS + 4 controls) using single cell RNA sequencing in combination with TCR V(D)J sequencing to study the immune profile of the central nervous compartment (CSF). Sequencing was done using 10x Genomics platform (5’ scRNAseq & V(D)J Reagent Kits v1.1). 5P and TCR libraries were then pooled and for sequencing on the NovaSeq sequencer. Provided files are in .fastq.gz format and per individual four files are available (Read 1&2 and Lane 1&2).

  Dataset EGAD00001009623

• Whole-genome bisulfite sequencing

  Raw reads from whole-genome bisulfite sequencing. Whole-genome bisulfite sequencing library preparations and Illumina sequencing of DNA samples from TET2 mutation carriers (Ly9, Ly11, Ly14, Id1) and their age-matched controls (Ly8, Ly10, Ly13, Id2, Id3) was done as a service at BGI (BGI Tech Solutions Co., Ltd., China). Bisulfite treatment was done with EZ DNA Methylation-Gold Kit (Zymo Research, CA, USA) for 300-400bp size-range fragments with methylated adapters in 5' and 3' ends. Sequencing was done with the HiSeq X-Ten platform using paired-end 150 base-pair read length.

  Dataset EGAD00001004779

• Whole-exome ultra-high throughput sequencing in brain samples of suicide victims who had suffered from major depressive disorder and control subjects who had died from other causes

  Whole exome NGS data of 21 sucide victims and 23 control patients sequenced on Illumina HiSeq 2000 platform using the Agilent SureSelect Human All Exon + UTRs V5 target enrichment kit. The dataset contains the paired-end unfiltered FASTQ files, the GRCh37 (b37) aligned BAM files mapped by the BWA MEM algorithm, and the variant files in VCF 4.1 format called with the GATK HaploType caller (version 3.3).

  Dataset EGAD00001004184

• Human normal esophagus and Barrett's esophagus mtDNA sequencing

  BAM files containing paired-end mtDNA sequencing data from human esophageal samples of individuals that had progressed to dysplasia or developed Barrett's esophagus (BE) post-esophagectomy. BE biopsies and the background mucosa were analysed. Each patient (JE*) has associated mtDNA sequencing data from biopsies of stroma, BE and squamous and cardia tissue. Two technical replicates, denoted "A" and "B", were analysed for each biopsy. Libraries were sequenced via the Illumina MiSeq platform v2 (Illumina, San Diego, CA, USA) 300 cycles (150 nt paired-end).

  Dataset EGAD00001008310

• Whole genome sequencing on HiSeq platform of tumour-normal sample pairs from 183 melanoma cases

  Aligned, merged and deduplicated BAM files from HiSeq whole genome sequencing of 366 samples: matched tumour-normal pairs from 183 melanoma cases comprising 48 primary melanomas, 15 cell lines, and 120 metastases. Sequencing was performed on the Illumina HiSeq 2000 and Xten platforms at Australian and Korean sequencing centres. Data was aligned to the human genome (GRCh37) using BWA-MEM.

  Dataset EGAD00001003388

• The Genetic Landscape of Ocular Adnexa MALT Lymphoma Reveals Frequent Aberrations in NFAT and MEF2B Signaling Pathways

  69 OAMZL patients were sequenced on the Illumina platform. The data files are available in BAM format.

  Dataset EGAD00001011067

• Single-Cell DNA Methylation Profiling via scTAMseq

  This dataset comprises single-cell DNA methylation and nuclear genotyping profiles of 7 total bone marrow aspirates (donors A.1-A.7) and 5 CD34+-enriched bone marrow samples (donors B.1-B.5) generated using the scTAMseq protocol. Sequencing was performed on the Mission Bio Tapestri platform, targeting a panel of 448 CpGs to assess epigenetic patterns and We also included 147 genomic regions commonly mutated in clonal hematopoiesis and 20 regions targeting chromosome Y. Samples B.1 & B.5, B.2 & B.4 and A.2 & A.5 were, in pairs, multiplexed into single tapestri lanes.

  Dataset EGAD00001015498

• A Scalable, GMP-Compatible, Autologous Organotypic Cell Therapy for Dystrophic Epidermolysis Bullosa

  Gene editing in induced pluripotent stem (iPS) cells has been hailed for enabling new cell therapies for various monogenetic diseases including dystrophic epidermolysis bullosa (DEB). However, manufacturing, efficacy, and safety roadblocks have limited the development of genetically corrected, autologous iPS cell-based therapies. Dystrophic Epidermolysis Bullosa Cell Therapy (DEBCT), is a new generation, Good Manufacturing Practice-compatible (cGMP), reproducible, and scalable platform to produce autologous clinical-grade iPS cell-derived organotypic induced skin composite (iSC) grafts to treat incurable wounds of patients lacking type VII collagen (C7). DEBCT uses a single step, combined, high-efficiency reprogramming, and CRISPR-based genetic correction to generate genome scar-free, COL7A1 corrected clonal iPS cells from primary patient fibroblasts. Validated iPS cells are converted into epidermal, dermal, and melanocyte progenitors with a novel 2D organoid differentiation protocol, followed by CD49f enrichment and expansion to minimize maturation heterogeneity. iSC product characterization by single cell transcriptomics was followed by mouse xenografting for disease correcting activity at 1 month and toxicology analysis at 1-6 months. Culture-acquired mutations, potential CRISPR-off target effects, and cancer-driver variants were evaluated by targeted and whole genome sequencing. iPS cell-derived iSC grafts were reproducibly generated from four recessive DEB patients with different pathogenic mutations. Organotypic iSC grafts onto immune-compromised mice developed into stable stratified skin with functional C7 restoration. Single cell transcriptomic characterization of iSCs revealed prominent holoclone stem cell signatures in keratinocytes and the recently described Gibbin-dependent signature in dermal fibroblasts. The latter correlated with enhanced graftability. Multiple orthogonal sequencing and subsequent computational approaches identified random and non-oncogenic mutations introduced by the manufacturing process. Toxicology revealed no detectable tumors after 3-6 months in DEBCT-treated mice. In conclusion, DEBCT successfully overcomes previous roadblocks and establishes a robust, scalable, and safe cGMP manufacturing platform for the production of a CRISPR-corrected autologous organotypic skin graft to heal DEB patient wounds.

  Study phs003271

• Whole exome and RNA sequencing of organoid samples derived from TRACERx patients

  Immune checkpoint blockade in non-small cell lung cancer (NSCLC) rarely leads to complete tumour remission, suggesting that tumours harbour subpopulations of cancer cells that can escape immune predation. However, while tumours consist of multiple genetically distinct clones, the extent to which separate tumour subclones differ intrinsically in their functional capacity for immune evasion remains largely unexplored. This has been challenging to address due to an inability to isolate and propagate individual tumour subclones from human cancers. Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived platform that allows the functional analysis of immune escape at single clone resolution. We generated libraries of >20 separate NSCLC organoid lines per patient by isolating individual (clonal) organoids established from multiple spatially separated tumour regions. Each organoid subline was co-cultured with autologous tumour infiltrating lymphocytes (TIL) to evaluate their capacity to elicit a T cell response. Organoid lines derived from separate tumour regions, or from single clones within individual regions, differ vastly in their capacity to elicit a T cell response, showing the coexistence of intrinsically immune evading (‘hot’) and non-evading (‘cold’) clones in the same primary tumour. Organoid lines escaping T cell recognition represent genetically and transcriptionally unique subclones with a distinct evolutionary history, showing that evolutionary sculpting of subclonal diversity can have functional consequences for anti-tumour immunity. Notably, the identification of immune-evasive subclones would not have been possible using computational approaches alone, highlighting the unique value of functional co-culture platforms. This patient-derived functional co-culture platform reveals that tumour evolution can give rise to distinct cancer clones with intrinsic differences in immune evasion capacity and provides an approach to prospectively identify, isolate and characterise immune evading subclones from patients with cancer.

  Study EGAS00001008092

• Raw bulk TCRseq data fromTIL and non-TIL expanded TRACERx samples in the manuscript Bulk TCRseq from TRACERx samples from 'Subclonal immune evasion in non-small cell lung cancer'

  Immune checkpoint blockade in non-small cell lung cancer (NSCLC) rarely leads to complete tumour remission, suggesting that tumours harbour subpopulations of cancer cells that can escape immune predation. However, while tumours consist of multiple genetically distinct clones, the extent to which separate tumour subclones differ intrinsically in their functional capacity for immune evasion remains largely unexplored. This has been challenging to address due to an inability to isolate and propagate individual tumour subclones from human cancers. Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived platform that allows the functional analysis of immune escape at single clone resolution. We generated libraries of >20 separate NSCLC organoid lines per patient by isolating individual (clonal) organoids established from multiple spatially separated tumour regions. Each organoid subline was co-cultured with autologous tumour infiltrating lymphocytes (TIL) to evaluate their capacity to elicit a T cell response. Organoid lines derived from separate tumour regions, or from single clones within individual regions, differ vastly in their capacity to elicit a T cell response, showing the coexistence of intrinsically immune evading (‘cold) and non-evading (‘hot) clones in the same primary tumour. Organoid lines escaping T cell recognition represent genetically and transcriptionally unique subclones with a distinct evolutionary history, showing that evolutionary sculpting of subclonal diversity can have functional consequences for anti-tumour immunity. Notably, the identification of immune-evasive subclones would not have been possible using computational approaches alone, highlighting the unique value of functional co-culture platforms. This patient-derived functional co-culture platform reveals that tumour evolution can give rise to distinct cancer clones with intrinsic differences in immune evasion capacity and provides an approach to prospectively identify, isolate and characterise immune evading subclones from patients with cancer.

  Study EGAS00001008118

• In this study, blood-brain barrier (BBB)-forming brain endothelial-like cells were generated from apolipoprotein E gene allele E4 (APOE4, high AD risk) and allele E3 (APOE3, lower AD risk) carrying patient-derived induced pluripotent stem cells (iPSCs). Cells were subsequently exposed to focused ultrasound and microbubbles (FUS+MB) to induce BBB opening and their transcriptome analysed. RNA sequencing (RNA-seq) results demonstrated minimal changes in the gene expression following FUS+MB suggesting safety of FUS+MB application in the clinical setting.

  The blood-brain barrier (BBB) is a major impediment to therapeutic intracranial drug delivery for the treatment of neurodegenerative diseases, including Alzheimer’s disease (AD). Focused ultrasound applied together with microbubbles (FUS+MB) is a novel technique to transiently open the BBB and increase drug delivery. Evidence suggests that FUS+MB is safe, however the effects of FUS+MB on human BBB cells, especially in relation to AD, remain sparsely investigated. Here we developed a human sporadic AD BBB cell platform to investigate the effects of FUS+MB on BBB cells and screen for the delivery of two potentially therapeutic AD antibodies. We generated BBB cells from apolipoprotein E gene allele E4 (APOE4, high AD risk) and allele E3 (APOE3, lower AD risk) carrying patient-derived induced pluripotent stem cells (iPSCs). We utilized this robust and reproducible platform to demonstrate increased delivery of potentially therapeutic antibodies across the BBB, including an analogue of Aducanumab (AduhelmTM) following FUS+MB treatment. Our results also demonstrate the safety of FUS+MB indicated by minimal changes in the cell transcriptome as well as little or no changes in cell viability and inflammatory responses within first 24 h post FUS+MB, with potentially important implications in a clinical setting. Finally, we report a more physiologically relevant hydrogel-based 2.5D BBB model as a key development for FUS+MB-mediated drug delivery screening, with potentially higher translational utility. Our results provide an important advancement for identifying FUS+MB-deliverable drugs and screening for cell- and patient-specific effects of FUS+MB, accelerating its use as a therapy in AD.

  Study EGAS00001005944

• Single cell TCRseq data fromTIL and non-TIL expanded TRACERx samples in the manuscript Bulk TCRseq from TRACERx samples from 'Subclonal immune evasion in non-small cell lung cancer'

  Immune checkpoint blockade in non-small cell lung cancer (NSCLC) rarely leads to complete tumour remission, suggesting that tumours harbour subpopulations of cancer cells that can escape immune predation. However, while tumours consist of multiple genetically distinct clones, the extent to which separate tumour subclones differ intrinsically in their functional capacity for immune evasion remains largely unexplored. This has been challenging to address due to an inability to isolate and propagate individual tumour subclones from human cancers. Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived platform that allows the functional analysis of immune escape at single clone resolution. We generated libraries of >20 separate NSCLC organoid lines per patient by isolating individual (clonal) organoids established from multiple spatially separated tumour regions. Each organoid subline was co-cultured with autologous tumour infiltrating lymphocytes (TIL) to evaluate their capacity to elicit a T cell response. Organoid lines derived from separate tumour regions, or from single clones within individual regions, differ vastly in their capacity to elicit a T cell response, showing the coexistence of intrinsically immune evading (‘cold) and non-evading (‘hot) clones in the same primary tumour. Organoid lines escaping T cell recognition represent genetically and transcriptionally unique subclones with a distinct evolutionary history, showing that evolutionary sculpting of subclonal diversity can have functional consequences for anti-tumour immunity. Notably, the identification of immune-evasive subclones would not have been possible using computational approaches alone, highlighting the unique value of functional co-culture platforms. This patient-derived functional co-culture platform reveals that tumour evolution can give rise to distinct cancer clones with intrinsic differences in immune evasion capacity and provides an approach to prospectively identify, isolate and characterise immune evading subclones from patients with cancer.

  Study EGAS00001008161

• Rapid Acceleration of Diagnostics - Digital Health Technologies (RADx-DHT): Covidseeker and COVID-19 Citizen Science: Leveraging Citizen Science and Real-Time Geospatial Temporal Mobile Data for Digital Contact Tracing and SARS-CoV-2 Hotspotting

  The Covidseeker and COVID-19 Citizen Science Study integrates a retrospectively-determined geolocation digital program into an established digital infrastructure housed within the NIH-funded Eureka platform to enroll SARS-CoV-2 positive and negative individuals. The solution also leverages the ongoing COVID-19 Citizen Science Study cohort both in-person and remotely to test and implement existing technology to enhance readily accessible contact tracing methods and identify “hot spots” of transmission of SARS-CoV-2. The tools are designed to alert users regarding overlap with SARS-CoV-2 infected individuals, identifying businesses that were visited by someone who later tested positive for COVID-19, and working with those businesses and public health departments on strategies to reduce the spread of the virus. DOI: https://rapids.ll.mit.edu/10.57895/me7r-vp06

  Study phs002519

• National Human Genome Research Institute Tumor Sequencing Project (TSP) - Lung Adenocarcinoma

  The Tumor Sequencing Project (TSP) Consortium is a collaboration among participants at the Baylor College of Medicine Human Genome Sequencing Center, the Broad Institute Genome Sequencing Platform, the Dana Farber Cancer Institute, the Memorial Sloan-Kettering Cancer Center, the Genome Sequencing Center and Siteman Cancer Center at Washington University, the M.D. Anderson Cancer Center and the University of Michigan Medical Center. The TSP Part A will pilot approaches to large-scale identification of genomic changes in tumors by sequencing the exonic regions of 623 genes in 188 specimens of adenocarcinoma of the lung, as well as using high density SNP genotyping arrays for high resolution identification of changes in chromosomal copy number. The TSP Part B will pilot approaches to tumor characterization of lung adenocarcinoma samples using next-generation sequencing technologies and benchmark those results against Part A data generated with ABI3730 instruments.

  Study phs000144

• Rapid Acceleration of Diagnostics - Digital Health Technologies (RADx-DHT): Digital Health Solutions for COVID-19: COVID Community Action and Research Engagement (COVID-CARE)

  Vibrent Health will expand the Vibrent Digital Health Solutions Platform (DHSP) implementation to additional populations among diverse user groups for additional validation of the technology's performance, usability, and reliability in refinement of analytics generating predictive algorithms for infection and that support individual, organizational, community and societal-level decision-making in the COVID-19 pandemic response. This includes the aims to innovate a technology that can differentiate between COVID-19 and flu (or other respiratory illness); develop and test a novel WIFI-based contact tracing tool using a University’s enterprise WIFI system and software release of augmented contact tracing capabilities in Vibrent's DHSP; and develop a full technical integration approach and strategy to support data exchange between this solution and the NCI data hub.DOI: https://rapids.ll.mit.edu/10.57895/ravs-1b57

  Study phs002533

• The Nurses' Health Study (NHS) GWAS of Mammographic Density

  The Nurses' Health Study is an on-going prospective cohort study of women that was initiated in 1976. This specific study was part of a larger study to advance our knowledge of breast cancer etiology, expand the current knowledge of mammographic density, and clarify the relationship between mammographic density and breast cancer risk. We conducted a nested case control study of breast cancer among women who provided a blood sample. We then targeted our mammogram collection to participants that were selected as part of this nested case-control study (i.e. those who had provided a blood sample). The mammogram closest to the date of blood draw (~1989-1990) was used. We assessed mammographic breast density from digitized film images using a computer assisted thresholding method (Cumulus). The women in this study were genotyped using the Illumina Omni Express Platform.

  Study phs000975

• HCI-PDX Trial Center for Breast Cancer Therapy

  The HCI-PDX Trial Center for Breast Cancer Therapy study is a collection of patient-tumor samples that are serially established as patient-derived tumor xenografts (human tumor in mouse) and matching organoids. For this study, we describe valuable methods and resources to generate organoids and use them as cost-effective models for precision drug screens. This study leveraged whole-exome sequencing, RNAseq, and SNP-array data to illustrate how the heterogeneity of tumors is preserved in xenograft and organoid models. Sequencing files are provided for whole-exome and RNAseq data. Processed copy number variant calls from the SNP arrays are also available. A full description of the study can be found in the article entitled, "A human breast cancer-derived xenograft and organoid platform for drug discovery and precision oncology," written by Guillen et al., 2022 in Nature Cancer (PMID: 35221336).

  Study phs002479

• Whole Genome and Exon Capture Sequencing of Bladder Cancers

  One primary bladder cancer and paired peripheral blood sample were subjected to whole genome sequencing on an Illumina HiSeq 2000 platform. This technology was utilized to investigate the genetic basis of a durable remission of metastatic bladder cancer in a patient treated with everolimus, a drug that inhibits the mTOR (mammalian target of rapamycin) signaling pathway. Among the somatic mutations found was a loss-of-function mutation in TSC1 (Tuberous Sclerosis Complex 1), a regulator of mTOR pathway activation. Targeted sequencing using an exon capture and sequencing assay was performed on 13 tumors derived from patients on the same everolimus trial as the index patient and the sequencing data from these tumors is included. TSC1 mutation status was correlated with response to everolimus. The index patient responder tumor and peripheral blood DNA were also subjected to exon capture and sequencing.

  Study phs000535

• A Human Lymphoma Organoid Model for Evaluating and Targeting the Follicular Lymphoma Tumor Immune Microenvironment

  Heterogeneity in the tumor microenvironment (TME) of follicular lymphoma (FL) can affect clinical outcomes. We developed a new organoid culture method for cultivating patient-derived lymphoma organoids (PDLOs), which include cells from the native FL TME. We generated organoids from 12 FL patients at diagnosis, clinical progression, or relapse. These organoids were profiled with targeted DNA sequencing and mRNA sequencing. We evaluated the stability of organoids in culture at serial weekly timepoints (D0, D7, D14, D21). We treated organoids with CD19:CD3 or CD20:CD3 bispecific antibodies or unconjugated anti-CD20, anti-CD19, and anti-CD3 as a control, and profiled DNA/RNA at D11 to evaluate treatment response. This system is intended as a platform for advancing precision medicine efforts in FL through patient-specific modeling, high-throughput screening, TME signature identification, and treatment response evaluation.

  Study phs003410

• Characterization of Macrophage-Tropic HIV Infection of Central Nervous System Cells and the Influence of Inflammation

  In this study, we utilize macrophage-tropic and T cell-tropic HIV-1 Env proteins to establish accurate infection profiles for multiple CNS cells under basal and interferon alpha (IFN-α) or lipopolysaccharide (LPS)-induced inflammatory states. We found that macrophage-tropic viruses confer entry advantages in primary myeloid cells, including monocyte-derived macrophages, microglia, and induced pluripotent stem cell (iPSC)-derived microglia. Following 24-h IFN-α or LPS treatments, total RNA was harvested from 100,000 to 200,000 cells using an RNeasy RNA isolation kit (Qiagen, 74004). RNA was quantified using a NanoDrop spectrophotometer and TapeStation electrophoresis prior to library preparation. cDNA libraries were prepared using the KAPA RNA HyperPrep kit (Roche, 08098115702). Paired-end RNA sequencing was performed on a NovaSeq S4 platform at a read length of 100 bp, resulting in approximately 60 million reads per sample.

  Study phs003306

• Genetic Analysis of Skin Cells

  Cutaneous squamous cell carcinoma (cSCC) is a form of skin cancer originating from keratinocytes in the skin. They have high mutation burdens, primarily driven by UV-radiation-induced DNA damage. The order in which mutations undergo selection during the evolution of cSCC is not known. A subset of cSCCs grow out of benign neoplasms called actinic keratoses. To better understand the evolution of cSCC, we identified cases of cSCCs adjacent to actinic keratoses. From these cases, we separately microdissected the surrounding normal skin, the actinic keratosis, and the cSCC, and we performed targeted DNA-sequencing on the tissue from each area. We reconstructed tumor phylogenies and performed spatial transcriptomics on the 10X FFPE Visium platform on a subset of cases. Collectively, these studies revealed the mutational and gene expression changes that arise during the evolution of cSCC.

  Study phs003282

• Controlling cell differentiation with precision through understanding the structure and dynamics of gene regulatory networks

  We established a set of transgenic human ES cell lines that carry inducible expression gene cassette for singe transcriptional factor induction with Tet-ON system. Transcriptome data was obtained 48h after transgene induction by Microarray. We established inducible human ES lines about more than 700 genes, and achieved microarray analysis on 115 genes. Our data set has multiple characteristic properties; 1) the same platform across data set, 2) analyzed with dynamic cell status, 3) pre-determined initiation point on gene perturbation, 4)inducible in different cell status. In parallele, we also performed RNA sequenncig analysis on 435 transgene induced ES lines as well. 32 transgene induced transcriptome data were obtained from both Microarray and RNA sequencing, normalizing technical gaps between them. We hope those systematic data set to reveal transcriptional network structure and molecular mechanisms of cell differentiation.

  Study JGAS000121

• Immunogenomic analysis of tumor infiltrating B cells in gastric cancer

  Despite the accumulating evidences of the significance of humoral cancer immunity, its molecular mechanisms have largely remained elusive. This study aimed at profiling the global picture of the humoral cancer immunity in view of immune repertoire characteristics of tumor-infiltrating B cells. In this study, we investigated B-cell repertoire (BCR) / immunoglobulin (Ig) sequencing of tumor infiltrating B cells in 102 clinical gastric cancers. First, total RNAs were extracted from frozen gastric cancer tissues and corresponding normal gastric mucosa; then, BCR/Ig repertoires of tumor-infiltrating B cells were amplified by target PCR using multiplex primer sets available from iRepertoire(R), inc. Subsequent next-generation sequencing data obtained by the Illumina platform were aligned onto human BCR/Ig repertoire sequence. This dataset contains the repertoire sequencing data of 102 gastric cancer cases analyzed in this study.

  Study JGAS000242

• Validation_of_a_Haloplex_platform_for_targeted_re_sequencing_of_the_exons_of_25_genes

  We recently used the Agilent SureSelect platform to re-sequence a set of genes known to bemutated in human AML. The results from 10 AML DNA samples were very satisfactory, butthe effort required was significant.Thus, we decided to re-sequence the same genes using the Haloplax system for targetenrichment in 48 AML samples. We planned to do this using MiSeq and have data from apilot of 3 samples. The data is promising but coverage appears pathcy so far.However, in order to get a better understanding of the data we will need deeper sequencing. Wewill need two lanes of HiSeq to get the same degree coverage as Sureselect.his data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000285

• Study the differences at the trascriptome level between iNKT and T cells

  Chimeric antigen receptor anti-CD19 (CAR19)-T cell immunotherapy-induced clinical remissions in CD19+ B cell lymphomas are often short-lived. We tested whether CAR19-engineering of the CD1d-restricted invariant NKT (iNKT) cells would result in enhanced anti-lymphoma activity. CAR19-iNKT cells co-operatively activated by CD1d- and CAR19-CD19-dependent interactions are more effective than CAR19-T cells against CD1d-expressing lymphomas in vitro and in vivo. The swifter in vivo anti-lymphoma activity of CAR19-iNKT cells and their enhanced ability to eradicate brain lymphomas underpinned an improved tumor-free and overall survival. CD1d transcriptional de-repression by all-trans retinoic acid results in further enhanced cytotoxicity of CAR19-iNKT cells against CD19+ chronic lymphocytic leukemia cells. Thus, iNKT cells are a highly efficient platform for CAR-based immunotherapy of lymphomas and possibly other CD1d-expressing cancers.

  Study EGAS00001003176