4075 results for "*geneti*"

in 40.00 milliseconds.

• Telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  Long read sequencing of 195 blood samples for allele-specific telomere detection

  Dataset EGAD50000002360

• Telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  A high-resolution workflow combining PacBio and Nanopore long-read sequencing platforms has been developed to map allele-specific telomere length in clinical patient samples. By tracing allele-specific telomeric sequence in family members across multiple generations, we show that telomeric variant sequences (TVSs) interspersed throughout the canonical repeat region are heritable (with mean similarity score > 0.95), allele-specific, and account for the extreme heterogeneity of telomere length between alleles.

  Study EGAS50000001642

• DAC of telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  DAC of telomere variant sequences encode a heritable genetic blueprint for allele-specific telomere length

  Dac EGAC50000000943

• Germline WES of serrated polyposis syndrome

  The serrated polyposis syndrome (SPS) is a disease with a mainly unknown inherited genetic basis characterized by the presence of multiple and/or large serrated polyps in the colon and a higher associated risk for colorectal cancer (CRC). The objective of the present study was to identify new SPS/CRC germline predisposition genes by using whole-exome sequencing in two affected SPS patients from the same family.

  Study EGAS50000000765

• WES of serrated polyposis syndrome

  Samples were obtained from patients diagnosed with serrated polyposis syndrome (SPS). To provide further detail, the dataset comprises two whole-exome sequencing samples from patients within the same family, uploaded in BAM file format with IDs 449758 and 449549. Exomic regions were sequenced using HiSeq2000 Platform (Illumina, San Diego, USA) and Sure SelectXT All Exon v5 kit (Agilent, Santa Clara, CA, USA) for exon enrichment. Only those potentially pathogenic germline genetic variants shared by both individuals were considered.

  Dataset EGAD50000001126

• Long read whole genome sequencing data from brain postmortem tissue

  Chart genetic variation in the human brain in healthy controls and Parkinson’s disease (PD) patients.

  Study EGAS50000001452

• scATAC Gene scores

  Gene score matrices generated with ArchR based on chromatin profiles

  Study EGAS50000001993

• GLASS-NL DNA-Methylation

  Study EGAS00001007546

• Chromosomal mutational signatures of DNA damaging agents at single cell resolution

  The chromosomal scale mutational spectrum of small molecules that interact with DNA has been hard to study at scale, as mutational events are distributed in location and occur in parallel in different cells. Here, we present a framework that pairs phylogenetic ancestry reconstruction with mutational signature decomposition to characterise recent, cell-private CNA mutational processes at single-cell resolution. We used this framework to characterize the cell-wise “foreground” of contemporaneous CNAs induced by strand-break inducing chemotherapeutic drugs of different mechanisms. We demonstrate that platinum salts, G-quadruplex stabilizers and topoisomerase II inhibitors, although mechanistically distinct, converge on a mutational signature dominated by telomere-bounded copy-number gain and losses. This signature is observed in different genetic backgrounds and in vivo, in drug treated patient derived-xenograft tumours. We also observe a high rate of endogenous telomere-bounded mutational foreground in BRCA1 deficient cells. We show that the single cell genome derived signature exposures are drug dose-dependent, and use this to identify the decay of mutational load after drug withdrawal. We observe that both cisplatin and a G4 binder molecule (CX5461) exhibit foreground mutational signature persistence up to 3 weeks after drug withdrawal, suggesting that residual effects of exposure may last longer than anticipated. Finally, extending the framework to serially drug-treated patient-derived xenograft (PDX) models, we show that telomere-bounded CNA signature exposure is associated with tumour response across and resistance states exhibit only background levels of mutational signatures. This is consistent with loss of mutational activity on the genome, as opposed to acquired tolerance to chromosomal mutations as a mechanism for some forms of chemotherapeutic drug resistance. Together our results show that scWGS can identify contemporaneous chromosomal mutation patterns induced by small molecules in human tissues.

  Study EGAS50000002035

• Multi-faceted metastasis decoding: clonal fitness, site pressure, and transcriptional modulation

  The dynamics of unique pressures that evolve metastasis fitness due to genetic and non-genetic components in relationship to primary versus metastatic site has remained difficult to decipher due to the highly complex and intertwined relationship of these features to the heterogeneous clonal structures within tumors. To simplify this problem, we generated serially passaged patient-derived xenografts (PDX) that developed reproducible metastasis and examined them for robust clonal selection using DLP+ single cell genome sequencing. This clonal composition analysis identified a simpler PDX model of metastases that displayed very high intra-PDX clonal competitive fitness, marked with dominant and differential clonal sweeps at metastatic and primary sites by different clones. Further testing this fitness using the different combinations of clones’ transplantation, re-confirmed this high clonal selectivity of a metastatically fit clone at metastatic sites compared to the primary site, hence revealing copy number aberration (CNA) clonal state dependent fixed metastasis fitness. Overall, by testing 9 PDX lines we found two lines with reproducible metastasis which identified a model that simplified the complexities of tumor evolution during metastasis and revealed the dominant role of favorable CNA clonal structure in fixating fitness.

  Study EGAS50000001515

• Transcriptome Analysis Offers a Comprehensive Illustration of the Genetic Background of Pediatric Acute Myeloid Leukemia

  Study EGAS00001003701

• ATACseq of CD4 and CD8 T cells from CLL patients and age-matched HD

  This study investigates chromatin accessibility landscapes in CD4+ and CD8+ T cells from patients with chronic lymphocytic leukemia (CLL) and age-matched healthy donors (HD). Briefly, peripheral blood T cells were isolated using magnetic bead-based negative selection, with CD4+ or CD8+ fractions further purified by FACS sorting. Samples were either used at baseline or after 2 days of acd3-cd28 stimulation in vitro. ATAC-seq libraries were generated using the Omni-ATAC protocol and sequenced as paired-end reads on an Illumina NovaSeq platform. Data were processed using the ENCODE ATAC-seq pipeline, including quality control, adapter trimming, alignment to the GRCh38 reference genome, duplicate removal, and assessment of library quality metrics. Accessible chromatin regions were identified by peak calling, followed by differential accessibility analysis between CLL and HD samples using DESeq2 within DiffBind. The study aims to define disease-associated regulatory changes in T cell subsets in CLL, with emphasis on epigenetic alterations underlying T cell dysfunction we report in out in vitro readouts.

  Study EGAS50000001902

• Terminal differentiation program of CD8 T cells guides immunotherapeutic options for CLL patients

  Chronic lymphocytic leukemia (CLL) remains incurable and autologous T-cell-based therapies induce durable remissions in only a minority of patients. Although poor T-cell performance in CLL has been attributed to exhaustion, T cells from CLL patients retain cytokine production and lack key transcriptional markers of exhaustion, suggesting an alternative state of differentiation. Here, we performed an integrated phenotypic, epigenetic and functional analysis of circulating CD8⁺ T cells from treatment-naive CLL patients to define the nature and therapeutic relevance of terminal differentiation in CLL. CD8⁺ T cells from treatment-naive CLL patients were enriched for a terminally differentiated, CD27⁻CD28⁻CD57⁺KLRG1⁺ population with several senescence-associated features, including increased cell size, granularity, β-galactosidase activity, and reduced basal autophagy. However, these cells lacked key hallmarks of irreversible senescence. Instead, CLL T cells mounted robust but transient proliferative bursts and developed activation-associated γH2AX signals followed by impaired persistence and increased cell death upon repeated activation. Especially CD57⁺ T cells were vulnerable and incompatible with the experimental steps required for CAR T-cell manufacturing. The potent, acute effector function of these cells could, however, be harnessed by bispecific T-cell engagers, which induced effective cytolysis of both cell lines and primary CLL targets by these T cells. Collectively, our data support a model in which CD8+ T-cell dysfunction in CLL reflects accumulation of short-lived, terminally differentiated effector cells rather than canonical exhaustion or irreversible senescence. This state limits durable persistence required for CAR T-cell approached while preserving acute cytotoxicity relevant for bispecific antibody-based therapies in CLL.

  Dac EGAC50000001042

• DAC_RNA-seq of murine osteosarcoma cell line genetically modified for CYR61

  Data access committee for RNA-seq of murine osteosarcoma cell line genetically modified for CYR61

  Dac EGAC50000000352

• BLUEPRINT Hematopoietic Stem/Progenitor Cell Methylomes

  An optimized whole genome bisulfite sequencing protocol (µWGBS, Farlik et al. 2015 Cell Reports) was used to establish DNA methylation profiles of FACS-purified stem and progenitor cells types of the human blood lineage. Most cell types were sorted from the peripheral blood of three donors with eight pools of ten cells, two pools of 50 cells, and one pool of 1000 cells. HSCs and MPPs were also sorted from fetal liver (HSCs only), cord blood, and bone marrow. Single-cell methylomes using the scWGBS protocol (Farlik et al. 2015 Cell Reports) were established for six cell types (HSC, MPP, CMP, GMP, CLP, MLP0). Gene expression profiling using the Smart-seq2 protocol (Picelli et al. 2013 Nature Methods) was done for nine stem/progenitor cell types (HSC, MPP, CMP, GMP, CLP, MLP0, MLP1, MLP2, MLP3).

  Study EGAS00001002070

• Genetic, epigenetic and fragmentomic profiling of plasma cell-free DNA in cancer patients

  The primary goal of the study is to explore the temporal changes in cfDNA profiles in liver cancer patients undergoing therapeutic treatment. Serial blood collection and plasma cfDNA analysis were performed in patients with liver cancer, including patients with primary hepatocellular carcinoma, or those with secondary liver metastasis. Various molecular features of cfDNA were studied, including tumor fraction, epigenetic and fragmentomic analysis.

  Study EGAS50000002022

• Genetic, epigenetic and fragmentomic profiling of plasma cell-free DNA in cancer patients

  The uploaded data includes sequencing of plasma cfDNA from a total of 33 cancer patients. Plasma cfDNA samples were sequenced for whole-genome sequencing analysis using double-stranded DNA libraries, and paired bisulfite sequencing using single-stranded DNA libraries. All sequencing data are of extracted plasma cfDNA from human patients, and sequenced using the Illumina NovaSeq6000 platform. Alignment was performed to the human genome (hg19). Lambda DNA was added to samples subjected to bisulfite sequencing for quality control.

  Dataset EGAD50000002912

• Genomic signatures of recent human adaptation to the Foraging-to-Farming Transition

  Human populations across multiple regions transitioned from hunting and foraging to sedentary farming societies starting ~10 to 12kya, narrowing dietary diversity and transforming relationships with animals and pathogens. To investigate how these ecological changes shaped human adaptations, we analyzed high-coverage whole-genome sequence data from 1,092 individuals practicing hunter-gatherer, agriculturalist, and pastoralist lifestyles across eight geographic regions spanning Africa, Asia, and Oceania. Collectively, our findings illuminate the genetic legacy of ecological changes associated with the foraging-to-farming transition and highlight the central role of non-coding regulatory variation in human adaptation.

  Study EGAS50000001991

• A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity

  Abstract: Cancer cells display highly heterogeneous and plastic states in glioblastoma, an incurable brain tumour. However, how these malignant states arise and whether they follow a tractable cellular trajectory across tumours is poorly understood. Here, we generated a deep single cell and spatial multi-omic atlas of human glioblastoma that pairs transcriptomic, epigenomic and genomic profiling of 12 tumours across multiple regions. We identify that glioblastoma heterogeneity is driven by spatially-patterned transitions of cancer cells from developmental-like states towards those defined by a glial injury response and hypoxia. This cancer cell trajectory regionalizes tumours into distinct tissue niches and manifests in a conserved manner across tumours as well as genetically distinct tumour subclones. Moreover, using a new deep learning framework to jointly map cancer cell states and clones in situ, we show that tumour subclones are finely spatially intermixed through glioblastoma tissue niches. Finally, we show that this cancer cell trajectory is intimately linked to myeloid heterogeneity and unfolds across regionalised myeloid signalling environments. Our findings define a stereotyped trajectory of cancer cells in glioblastoma and unify glioblastoma tumour heterogeneity into a tractable cellular and tissue framework.

  Dataset EGAD00001015516

• Evaluation Of The Role Of Tumor Mutational Burden As A Prognostic Biomarker In Follicular Lymphoma

  In this study, we have evaluated TMB through a 409-gene panel in 135 patients with FL or transformed FL (tFL) at presentation. We analyzed the association of TMB with prognosis and specific genetic alterations recurrent in FL, with the goal of identifying molecular markers that could improve prognostic assessment.

  Study EGAS50000001448

• Integrated analysis of targeted DNAseq and RNAseq on peripheral blood mononuclear cells (PBMC) of hip replacement surgery patients

  Patient samples were collected from individuals undergoing elective femoral head replacement surgery. Eligible participants were aged >50 years, classified as otherwise healthy, and able to provide written informed consent. Exclusion criteria were trauma-related femoral hip replacement and any known hematological malignancy.

  Study EGAS50000001648

• Heterogeneous endocrine cell composition defines human islet functional phenotypes

  Phenotyping and genotyping initiatives within the Integrated Islet Distribution Program (IIDP), the largest source of human islets for research in the U.S., provide standardized assessment of islet preparations distributed to researchers and enable the integration of multiple data types. Data from islets of the first 299 organ donors without diabetes analyzed using this pipeline highlights substantial heterogeneity in islet cell composition associated with hormone secretory traits, sex, reported race and ethnicity, genetically predicted ancestry, and genetic risk for type 2 diabetes (T2D). While α and β cell composition influenced insulin and glucagon secretory traits, the abundance of δ cells showed the strongest association with insulin secretion and was also associated with the genetic risk score (GRS) for T2D. These findings have important implications for understanding mechanisms underlying diabetes heterogeneity and islet dysfunction and may provide insight into strategies for personalized medicine and β cell replacement therapy.

  Study EGAS50000000697

• G4SCOPE identifies sequence features and epigenetic contexts of chromatin G-quadruplexes

  Cancer-associated epigenetic remodeling involves both DNA secondary structures and covalent cytosine modifications, yet predicting chromatin-constrained G-quadruplex (G4) folding remains challenging. Here, we develop G4SCOPE, a multi-task deep learning framework that predicts G4 occupancy and quantitative CUT&Tag signal directly from DNA sequence in isogenic human breast epithelial cells. Trained across wild-type, TP53-deficient, TP53/BRCA1-deficient and TP53/BRCA2-deficient backgrounds, the model integrates convolutional motif learning with transformer-based self-attention to capture local motifs and broader contextual sequence features without auxiliary epigenomic inputs. It distinguishes chromatin-associated G4s from GC-matched loci with in vitro G4-forming potential, captures quantitative variation in local CUT&Tag signal, and performs consistently across the four breast epithelial genotypes. Independent application in K562 cells further supports the portability of the framework to a distinct cellular context. Model-derived G4 representations also separate loci with distinct local 5-methylcytosine and 5-hydroxymethylcytosine profiles. Together, these results show that DNA sequence can predict chromatin G4 occupancy and quantitative CUT&Tag signal, and that the learned representations reflect differences in local cytosine-modification state.

  Study EGAS50000002094

• scD&D-seq of mobilized PBMC from a healthy individual having IDH2 R140Q CHIP

  Single-cell D&D-seq profiles from a mobilized CHIP (clonal hematopoiesis of indeterminate potential) PBMC sample (2 replicates) co-profiled with IDH2 R140Q GoT-ChA.

  Study EGAS50000001590

• scD&D Multiome of GATA1 regulatory network dynamics during erythropoiesis

  Ex vivo differentiation experiments of human CD34+ hematopoietic stem and progenitor cells and profiled cells along the erythropoietic trajectory at multiple timepoints (differentiation days 0, 5, 8, 18, and 24), for simultaneous assessment of transcriptome, chromatin accessibility and GATA1 binding

  Study EGAS50000001606

• SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population

  The SweGen project represents a comprehensive map of genetic variation in the Swedish population. This Study contains four datasets where the first one contains whole-genome sequencing data in CRAM-format for 942 individuals from the Swedish Twin Registry, the second one contains genetic variant frequencies in VCF-format for the same individuals, the third one contains whole-genome sequencing data in CRAM-format for 58 individuals from the Northern Sweden Population Health Study and the fourth one contains genetic variant frequencies in VCF-format for the same individuals. The data, serving as a reference dataset, is a valuable and national resource for genetics research and clinical diagnostics and can be used, for instance, to increase understanding of both rare and complex disorders. It also serves as an international resource for larger studies of human population genetics.

  Study EGAS50000000906

• Genetic and evolutionary patterns of treatment resistance in relapsed B-cell lymphoma

  Study EGAS00001004469

• Transcriptional and epigenetic profiling of bone marrow blood progenitors across age

  Bone marrow from donors without known malignancy was isolated and CD34-enriched, FACS-purified to further enrich for CD34+CD38- primitive cells, and then profiled by single-cell 10X genomics chromium Multiome (RNA+ATAC).

  Study EGAS50000001623

• High-grade B-cell lymphoma, not otherwise specified: an LLMPP study

  Molecular characterization of high-grade B-cell lymphoma, not otherwise specified (HGBCL-NOS), is hindered by its rarity, evolving definition, and poor diagnostic reproducibility. To address this challenge, we analyzed 92 HGBCL-NOS tumors collected across Lymphoma/Leukemia Molecular Profiling Project sites. These tumors were profiled using whole-genome sequencing (WGS) or whole-exome sequencing (WES) to identify somatic mutations, WGS or low-pass WGS to detect copy number alterations, targeted capture sequencing to assess MYC and BCL2 structural variants, and RNA sequencing. The genetic features of HGBCL-NOS were compared to those of diffuse large B-cell lymphoma (DLBCL-NOS) and EBV-negative adult Burkitt lymphoma (BL). DLBCL-NOS tumors underwent targeted capture sequencing using a panel of 125 genes recurrently mutated in aggressive B-cell lymphomas. BL biopsies were drawn from the Burkitt Lymphoma Genome Sequencing Project and had available WGS (dbGaP Study Accession: phs000527.v18.p6).

  Study EGAS50000000932

• HiC data of human LCLs

  HiC data of human LCLs data in two cases with non-coding structural variants in the FOXG1 TAD. Both processed data and raw sequencing.

  Study EGAS50000001768

• Initial leukemic epigenomic state determines hypomethylating agent response

  Hypomethylating agents (HMAs) are a mainstay of therapy for myeloid cancers, but genetic biomarkers do not predict who will respond to treatment. Using a variety of single-cell sequencing approaches to define the epigenomic state of responder and nonresponder leukemic cells, we aim to demonstrate that leukemic stem cells (LSC) exist in at least two different epigenomic states: a hematopoietic stem cell (HSC)-or multipotent progenitor (MPP)-like state that is sensitive to HMAs, independent of genetic mutations, or a lymphoid-primed MPP (LMPP)-like nonresponder state. Additionally, we aim to demonstrate that hypomethylation and chromatin accessibility at ZNF143- and CTCF-binding sites result in activation of HOXB4, which defines the HSC/MPP-like state and HMA-sensitivity. Our study aims to provide evidence that the epigenomic state of the LSC is a major determinant of response to HMAs, and demonstrates that a routine clinical assay can identify patients who will respond.

  Study EGAS50000000936

• Cellular Analysis of Resistance and Evolution (CARE) IDH-mutant glioma dataset

  In IDH-mutant glioma, genetic evolution and cellular heterogeneity across and within tumors may drive therapeutic resistance. Here, we analyzed 35 longitudinal patients by single-nucleus RNA-sequencing with a subset also characterized by bulk tumor DNA sequencing to better understand IDH-mutant glioma evolution.

  Study EGAS50000001727

• Recurrent intra-tumour heterogeneity is a hallmark of metastatic prostate cancer

  The evolution of cancers from low grade to metastatic disease is a major determinant of cancer mortality. Cancer evolution involves a complex interplay between cell intrinsic genetics and transcriptional alterations and the extrinsic microenvironment. To define the key mechanisms underpinning metastatic development, we focused on the most lethal form of prostate cancer, metastatic castration-resistant prostate cancer, and employed single-cell multi-omics and whole-genome sequencing to deeply profile 34 metastatic lesions from 9 patients obtained from rapid autopsy. We found that intra-tumour heterogeneity is an indicator of key evolutionary processes, characterised by recurrent tumour populations acting as critical functional components of the tumour ecosystem, irrespective of clonal and microenvironmental backgrounds. Unexpectedly, microenvironments across metastatic sites played a limited role while clonal evolution primarily promoted transcriptional noise. Intra-patient functional convergence of tumour ecosystems was observed across metastatic sites, pointing towards system-level selection pressures that drive the heterogeneity landscape of mCRPC. Our findings reveal functional evolutionary convergence of metastatic disease into units of intra-tumour heterogeneity identifying critical determinants of metastatic progression for therapeutic targeting. Note: matched WGS for some tumour single-cell experiments, as well as germline WGS for patients CA0027, CA0034, CA0035, CA0043, and CA0076, can be found in EGAS00001006598.

  Study EGAS50000001312

• Genome sequencing identifies splice-disrupting variants in childhood heart disease

  We used genome sequencing (GS) to identify cardiac specific splice disrupting variants that were subsequently validated in a subset of participants. In turn, we developed a heart-specific model for canonical and non-canonical splice variants, which was applied to patients with congenital heart disease (CHD). These included patients with two of the most common forms of cyanotic CHD i.e. tetralogy of Fallot (TOF) and dextro-transposition of the great arteries (TGA). In addition to identifying canonical splice-disrupting variants in known CHD-related genes in 1% cases, this approach identified putatively damaging non-canonical splice-disrupting variants in 11% of isolated CHD, with deeply intronic variants representing 53% of non-canonical splice-disrupting variants in CHD genes. GS was critical for the identification of variants that would not be captured by routine clinical genetic tests including exome sequencing, while cardiac RNA-Seq allowed for high specificity in the interpretation of splice-disrupting effects in the heart.

  Study EGAS50000000586

• Clonal evolution of metastatic colorectal cancer under anticancer therapies

  To investigate the clonal evolution of metastatic CRC at the single-cell level, we performed WGS in 58 clonal organoids and 18 fresh-frozen (FT) bulk-tissue samples from surgically resected primary and metastatic tumors before and after anticancer therapies in 6 patients. This approach enabled detailed phylogenetic reconstruction of individual clones. We discovered the timing and burden of treatment-related mutations as well as the heterogeneous evolution in driver mutations and genomic rearrangements in late-stage clonal evolution under anticancer therapies in metastatic CRC.

  Study EGAS50000001023

• Whole-genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis

  Endometriosis is a highly prevalent condition that remains underdiagnosed and poorly managed due to the lack of clinically validated biomarkers and limited understanding of its underlying pathophysiology. Although menstrual blood–derived stem cells (MenSCs) have been implicated in disease pathogenesis, their potential as a diagnostic source has not been systematically explored. We conducted a clinical study including 42 women (19 with endometriosis and 23 controls) to evaluate whether DNA methylation profiles from freshly isolated MenSCs could identify disease-specific biomarkers. Whole-genome DNA methylation sequencing identified differentially methylated regions (DMRs) enriched in genes associated with key features of endometriosis, including inflammation, tissue remodelling, and developmental processes. These DMRs robustly discriminated cases from controls, independently of technical and clinical confounders. Machine learning models trained and validated on these regions demonstrated strong diagnostic performance (specificity 83%, sensitivity 79%). Integration with an independent single-cell RNA sequencing dataset suggested that the identified DMRs may influence gene expression, supporting their biological relevance. Collectively, these findings highlight MenSC DNA methylation profiling as a promising, non-invasive strategy for early diagnosis and personalised management of endometriosis. (PubMed IDs will be provided once the manuscript is published.)

  Study EGAS50000001640

• Utility of whole exome sequencing for genomic newborn screening in India

  This study evaluates the use of genomic newborn screening to identify clinically relevant genetic variants in critically ill neonates. The project aims to investigate the potential of whole-exome sequencing (WES) for the early identification of rare genetic disorders. The study seeks to improve early diagnosis and support timely clinical management of neonates with suspected genetic conditions.

  Study EGAS50000002069

• Profibrotic priming of airway cell types in idiopathic pulmonary fibrosis and drug inhibition in single-cell resolution

  The cause and etiology of idiopathic pulmonary fibrosis, a severe chronic lung disorder with limited treatment options, is still poorly understood. Early genetic studies hinted that airway epithelial cells play an important role in the development of IPF while more recent single-cell RNA sequencing atlases from explant IPF lungs have focused on macrophages. In this study, we used air-liquid interface cultures of primary cells taken from the subsegmental bronchi of IPF patients, reflecting early-stage fibrosis, to interrogate the single-cell transcriptional landscape of the airway mucosa. We identified IPF-enriched cell-cell interaction pathways. Moreover, we also observed that IPF cell types shared “core” signatures, where epithelial cells had a pro-inflammatory signature while fibroblasts had an early activation signature. Harnessing the in vitro culture system, we also treated the cells with nintedanib, pirfenidone, and saracatinib, an Src kinase inhibitor that could inhibit IPF progression, to investigate their effects on the previously described IPF signatures. Unfortunately, only certain signatures were positively affected by the three drugs. This study provides more insight into the disease mechanisms of IPF and is a key resource for the IPF community to further investigate the effects of pharmacological inhibition.

  Study EGAS00001005794

• X chromosome dosage and the genetic impact across human tissues

  Study EGAS00001006996

• Expanding CIRdb, a comprehensive catalog of whole-exome sequencing data of Canary Islanders

  This study aimed to comprehensively characterize the full spectrum of small genetic variation among 920 unrelated donors from this population based on whole-exome sequencing data to further develop CIRdb as the Canary Islanders-specific reference catalog of genetic variation.

  Study EGAS50000001726

• Screening for Prostate Cancer-Specific Differentially Methylated Regions Based on MeDIP-seq

  Methylated DNA Immunoprecipitation Sequencing (MeDIP-seq) on tissue samples from prostate cancer, benign prostatic hyperplasia (BPH), and bladder cancer.

  Study EGAS50000001894

• Low-input PCHi-C data in CD4+ T cells

  Low-input PCHi-C data in CD4+ T cells from Malysheva et al.

  Study EGAS50000001316

• Whole-genome variant calling of individuals from the study of allergic diseases in the Canary Islands

  Research study of genetic susceptibility and analyses of polygenic risk scores in allergic diseases. The historic influences in the Canary Islanders have resulted in an admixture of European, North Africans and Sub-saharan African genetic ancestries. Genetic risks linked to any of these ancestries could underlie disease peculiarities in the current inhabitants. To leverage genectic ancestry to identify and assess genetic risks in allergic diseases in the Canary Islands, we combine different genomic technologies in case-control studies and reference samples from the three parental populations to characterize and identify genetic risks factors and the intersection with ancestry.

  Study EGAS50000000299

• Huch Lab, Max Planck Institute of Molecular Cell Biology and Genetics

  Dac EGAC50000000112

• Genomic Data from Newborn Screening Samples

  This dataset comprises whole-exome sequencing (WES) data from critically ill neonates enrolled as part of a genomic newborn screening programme. Samples were analysed to identify genetic variants potentially associated with neonatal illness and underlying inherited disorders. WES was performed using lllumina Sequencing platform-NovaSeqX, and the resulting sequencing data are provided in FASTQ format.

  Dataset EGAD50000002971

• T-cell receptor repertoires against HLA class I-restricted minor histocompatibility antigens are highly diverse with a small subset of public clonotypes

  Allogeneic hematopoietic stem cell transplantation (alloHSCT) can be a curative treatment for hematological diseases. After HLA-matched alloHSCT, donor T cells may recognize minor histocompatibility antigens (MiHAs), which are polymorphic HLA-binding peptides on patient cells that are absent from donor cells due to genetic differences. Donor T cells can induce beneficial anti-tumor effects if MiHAs are targeted on malignant hematopoietic cells in the patient, while Graft-versus-Host Disease (GvHD) may develop if MiHAs are targeted on patients’ healthy non-hematopoietic tissues. We previously isolated T-cell clones from patients responding to donor lymphocyte infusions (DLIs) after HLA-matched alloHSCT, and identified HLA class I-restricted MiHAs. To investigate MiHA-specific T-cell responses in patients, we here sequenced the T-cell receptors (TCRs) of MiHA-specific T-cell clones and identified 394 distinct TCRs against 122 MiHAs. We used the collection of identified TCRs to measure frequencies of matched MiHA-specific TCRs in 39 patients responding to DLI with anti-tumor responses accompanied with no (n=9), limited (n=8) or severe (n=22) GvHD. The data showed higher MiHA-specific TCR frequencies in patients with severe GvHD, which were mainly driven by clonal expansion. Moreover, within the diverse MiHA-specific TCR repertoires in these patients, we identified 5 public TCRs against 4 MiHAs with identical CDR3 regions and several TCRs targeting MiHAs with similar, but not identical, CDR3 regions. We demonstrated that patients with severe GvHD have high MiHA-TCR frequencies mainly driven by clonal expansion, and that MiHA-specific TCR repertoires in patients responding to DLI after alloHSCT are highly diverse with a few public clonotypes.

  Study EGAS50000001959

• Circulating cell-free DNA methylation profiling for detection, distinction, and estrogen receptor status classification of advanced breast cancer

  We developed cell-free DNA (cfDNA) methylation signatures for minimally invasive breast cancer detection, distinction, and estrogen receptor (ER) status classification with cell-free Methylated DNA Immunoprecipitation and Sequencing (cfMeDIP-seq). We profiled peripheral blood plasma from 87 patients with mBC spanning ER-positive/HER2-negative (ER+/HER2-), HER2-positive, and triple-negative breast cancer (TNBC).

  Study EGAS50000001675

• From stem cells to somites: revealing genetic and exogenous factors of human embryogenesis

  Stem cell-based human embryo models offer an ethically tractable platform for studying early human development. This study employs somitoids, three-dimensional models of human somitogenesis, to investigate how transcriptional programs and culture conditions influence somite formation and segmentation. Pre-differentiation conditions strongly impact developmental potential, with StemFit medium outperforming mTeSR Plus in generating robust somite-like structures, despite minimal differences in transcriptomic and proteomic profiles. RNA-seq was performed on iPSCs cultured in mTeSR Plus or StemFit medium, as well as on day 5 somitoids derived from these conditions. Additional RNA-seq analyses included wildtype, BPTF, RBPJ, and CITED2 knockout lines, and CITED2 rescue lines. These targets were selected based on p300 proximity labeling to functionally validate identified p300 proximity interactors. To confirm that the p300–miniTurbo fusion remained functional, ChIP-seq was performed on undifferentiated iPSCs cultured in mTeSR Plus medium. Together, our findings highlight somitoids as a robust and scalable system for studying gene regulation during early human development, enabling functional interrogation of key chromatin-associated regulators driving somitogenesis.

  Study EGAS50000001900

• A targetable dependency on nonsense-mediated decay for cellular homeostasis and immune control in small cell lung cancer

  Small cell lung cancer (SCLC) is one of the most aggressive malignancies, characterized by rapid metastatic dissemination and poor overall survival. Despite harboring one of the highest tumor mutational burden (TMB), expectedly resulting in immunogenic neoantigens, patients with SCLC remain largely refractory to immunotherapy. We found abundant frameshift mutations in SCLC, regarded as highly immunogenic, counterbalanced by a hyperactive nonsense-mediated decay (NMD) pathway, responsible for frameshift-mRNA degradation. NMD activity correlated with tumor mutational burden (TMB) across cancers, suggesting that SCLC and other TMB-high cancers may depend on NMD to limit the accumulation of mutation-derived byproducts in order to maintain cellular homeostasis and evade immune recognition. In TMB-high SCLC models, inhibition of NMD impaired cell proliferation and induced ER stress-dependent apoptosis due to the accumulation of misfolded proteins. Genetic and pharmacological NMD inhibition in vivo effectively controlled TMB-high tumor growth without overt toxicity. By integrating genome and transcriptome sequencing with MHC-I immunopeptidomics and functional in vitro and in vivo assays, we identified that NMD inhibition boosted neoantigen expression and presentation by tumor cells and increased T cell recognition, thus enhancing overall tumor immunogenicity and further improving immunotherapy efficacy in vivo. Our work shows that SCLC – as a TMB-high cancer – relies on NMD for survival and immune escape, uncovering a novel TMB-dependent tractable vulnerability for this devastating disease.

  Study EGAS50000002061

• Single-Cell DNA Methylation Phylogeny Uncovers Alternative Epigenetic Pathways for MDS Transformation to AML

  This project investigates the transformation of myelodysplastic syndrome (MDS) to secondary acute myeloid leukemia (sAML), particularly after hypomethylating agent (HMA) therapy, a process linked to therapy resistance and poor survival using single-cell DNA methylation data together with sc-DNA, sc-Prot and sc-RNA data.The findings reveal novel epigenetic drivers of therapy resistance and sAML.

  Study EGAS50000001207