Henry Löffler-Wirth

About Henry Löffler-Wirth:
No description specified

LHA ID: 7WATP0JCET-3

Location:  Germany

ORCID: https://orcid.org/0000-0001-8239-440X

Joined: 16th May 2019

Expertise: Not specified

Tools: Not specified

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LHA - Leipzig Health Atlas

The Leipzig Health Atlas (LHA) is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields in which our team has scientific and clinical expertise.

Programme: i:DSem - Integrative Datensemantik in der Systemmedizin

Public web page: https://www.health-atlas.de

Start date: 1st Apr 2016

End date: 28th Feb 2021

Task Force COVID-19 Leipzig

This project serves as a container for all COVID-19 related assets, developed at the University of Leipzig and its partners.

Programme: NFDI - German National Research Data Infrastructure

Public web page: https://www.nfdi4health.de/task-force-covid-19

Start date: 20th May 2020

NFDI4Health: inactive since

NFDI4Health - the National Research Data Infrastructure for Personal Health Data - deals with data generated in clinical trials, epidemiological and public health studies. The collection and analysis of these data on health and disease status and important factors influencing it are an essential component for the development of new therapies, comprehensive care approaches and preventive measures in a modern health care system. Although these data already meet high content quality standards, they ...

Programme: NFDI - German National Research Data Infrastructure

Public web page: https://www.nfdi4health.de/en

GGN - German Glioma Network

During 2004 and 2012 the german cancer aid supported the german glioma network (GGN). The GGN is a consortium where university hospitals with clinical focus in neuro-oncology, reference centers for neuroradiology, neuropathology, molecular diagnostics and biometry cooperate. Thanks to the long-term support it was possible to build a network of competence centers for the treatment of brain tumors in Germany wich is characterized by a interdisciplinary collaboration of all specialist disciplines ...

Programme: Glioma

Public web page: http://www.gliomnetzwerk.de/

Start date: 1st Jan 2004

LIFE - Leipzig Research Center for Civilization Diseases: inactive since

Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.

Programme: LIFE Management Cluster

Public web page: http://life.uni-leipzig.de/

Start date: 1st Jan 2009

LIFE Adult

This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT ...

Programme: LIFE Management Cluster

Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html

Start date: 1st Jan 2009

oBIG - omics Bioinformatics for Health

The aim of oBIG is to establish modern genome bioinformatics in Armenia to investigate genesis and progression of complex diseases. Therefore we will extend the collaboration between the Interdisciplinary Center for Bioinformatics (IZBI) of Leipzig University and the Institute of Molecular Biology (IMB) in Yerevan, Armenia, to accomplish three main aspects of the project:Firstly, current research topics in systems biology of cancer, lung diseases and infections will be addressed by a joint team ...

Programme: Default Programme

Public web page: https://www.izbi.uni-leipzig.de/current-projects/obig/

imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies

The vision of Immune Safety Avatar (imSAVAR) is to develop a platform for integrated nonclinical assessments of immunomodulatory therapy safety and efficacy.The imSAVAR is an Innovative Medicines Initiative funded project that aims to develop a standard for integrated nonclinical safety overviews for immune-modulatory investigational new drugs (IND) and clinical trial applications (CTA).Our imSAVAR platform will improve the prediction of the transferability of safety and efficacy of immunomodulators ...

Programme: European Union’s Horizon 2020

Public web page: https://imsavar.eu/

Think different

Analysis of the humoral response against HLA alloantigens is performed using museal methods. With the use of AI we aim to predict deleterious antibody production avoiding allograft deterioration and graft loss.

Programme: This Project is not associated with a Programme

Public web page: Not specified

Start date: 1st Mar 2021

MMML-MYC-SYS

MMML-MYC-SYS is a interdisciplinary consortium where partners from clinical haemaoncological study groups, pathologists, geneticicts, cell biologists as well as mathematicians, statisticians and bioinformaticists have allied. The goal is to investigate the process of development of B-cell lymphoma under special consideration of mutation of MYC. MYC is known to support the development and growth of tumors. This consortium collected and evaluated comprehensive molecular-genetic data for this purpose. ...

Programme: This Project is not associated with a Programme

Public web page: http://www.mmmlmycsys.de/

Start date: 1st Jan 2013

Transcriptional states of CAR-T infusion relate to neurotoxicity - lessons from high-resolution single-cell SOM expression portraying.
imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies

Abstract (Expand)

Anti-CD19 CAR-T cell immunotherapy is a hopeful treatment option for patients with B cell lymphomas, however it copes with partly severe adverse effects like neurotoxicity. Single-cell resolved molecular … data sets in combination with clinical parametrization allow for comprehensive characterization of cellular subpopulations, their transcriptomic states, and their relation to the adverse effects. We here present a re-analysis of single-cell RNA sequencing data of 24 patients comprising more than 130,000 cells with focus on cellular states and their association to immune cell related neurotoxicity. For this, we developed a single-cell data portraying workflow to disentangle the transcriptional state space with single-cell resolution and its analysis in terms of modularly-composed cellular programs. We demonstrated capabilities of single-cell data portraying to disentangle transcriptional states using intuitive visualization, functional mining, molecular cell stratification, and variability analyses. Our analysis revealed that the T cell composition of the patient's infusion product as well as the spectrum of their transcriptional states of cells derived from patients with low ICANS grade do not markedly differ from those of cells from high ICANS patients, while the relative abundancies, particularly that of cycling cells, of LAG3-mediated exhaustion and of CAR positive cells, vary. Our study provides molecular details of the transcriptomic landscape with possible impact to overcome neurotoxicity.

Authors: H. Loeffler-Wirth, M. Rade, A. Arakelyan, M. Kreuz, M. Loeffler, U. Koehl, K. Reiche, H. Binder

Date Published: 17th Oct 2022

Publication Type: Journal article

The Leipzig Health Atlas-An Open Platform to Present, Archive, and Share Biomedical Data, Analyses, and Models Online.
LHA - Leipzig Health Atlas

Abstract (Expand)

BACKGROUND: Clinical trials, epidemiological studies, clinical registries, and other prospective research projects, together with patient care services, are main sources of data in the medical research … domain. They serve often as a basis for secondary research in evidence-based medicine, prediction models for disease, and its progression. This data are often neither sufficiently described nor accessible. Related models are often not accessible as a functional program tool for interested users from the health care and biomedical domains. OBJECTIVE: The interdisciplinary project Leipzig Health Atlas (LHA) was developed to close this gap. LHA is an online platform that serves as a sustainable archive providing medical data, metadata, models, and novel phenotypes from clinical trials, epidemiological studies, and other medical research projects. METHODS: Data, models, and phenotypes are described by semantically rich metadata. The platform prefers to share data and models presented in original publications but is also open for nonpublished data. LHA provides and associates unique permanent identifiers for each dataset and model. Hence, the platform can be used to share prepared, quality-assured datasets and models while they are referenced in publications. All managed data, models, and phenotypes in LHA follow the FAIR principles, with public availability or restricted access for specific user groups. RESULTS: The LHA platform is in productive mode (https://www.health-atlas.de/). It is already used by a variety of clinical trial and research groups and is becoming increasingly popular also in the biomedical community. LHA is an integral part of the forthcoming initiative building a national research data infrastructure for health in Germany.

Authors: T. Kirsten, F. A. Meineke, H. Loeffler-Wirth, C. Beger, A. Uciteli, S. Staubert, M. Lobe, R. Hansel, F. G. Rauscher, J. Schuster, T. Peschel, H. Herre, J. Wagner, S. Zachariae, C. Engel, M. Scholz, E. Rahm, H. Binder, M. Loeffler

Date Published: 3rd Aug 2022

Publication Type: Journal article

A Transcriptome-Wide Isoform Landscape of Melanocytic Nevi and Primary Melanomas Identifies Gene Isoforms Associated with Malignancy.
Leipzig Melanoma Studies, oBIG - omics Bioinformatics for Health

Abstract (Expand)

Genetic splice variants have become of central interest in recent years, as they play an important role in different cancers. Little is known about splice variants in melanoma. Here, we analyzed a … genome-wide transcriptomic dataset of benign melanocytic nevi and primary melanomas (n = 80) for the expression of specific splice variants. Using kallisto, a map for differentially expressed splice variants in melanoma vs. benign melanocytic nevi was generated. Among the top genes with differentially expressed splice variants were Ras-related in brain 6B (RAB6B), a member of the RAS family of GTPases, Macrophage Scavenger Receptor 1 (MSR1), Collagen Type XI Alpha 2 Chain (COLL11A2), and LY6/PLAUR Domain Containing 1 (LYPD1). The Gene Ontology terms of differentially expressed splice variants showed no enrichment for functional gene sets of melanoma vs. nevus lesions, but between type 1 (pigmentation type) and type 2 (immune response type) melanocytic lesions. A number of genes such as Checkpoint Kinase 1 (CHEK1) showed an association of mutational patterns and occurrence of splice variants in melanoma. Moreover, mutations in genes of the splicing machinery were common in both benign nevi and melanomas, suggesting a common mechanism starting early in melanoma development. Mutations in some of these genes of the splicing machinery, such as Serine and Arginine Rich Splicing Factor A3 and B3 (SF3A3, SF3B3), were significantly enriched in melanomas as compared to benign nevi. Taken together, a map of splice variants in melanoma is presented that shows a multitude of differentially expressed splice genes between benign nevi and primary melanomas. The underlying mechanisms may involve mutations in genes of the splicing machinery.

Authors: S. Hakobyan, H. Loeffler-Wirth, A. Arakelyan, H. Binder, M. Kunz

Date Published: 2nd Jul 2021

Publication Type: Journal article

The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health.
LIFE Adult, oBIG - omics Bioinformatics for Health

Abstract (Expand)

Background: The blood transcriptome is expected to provide a detailed picture of an organism's physiological state with potential outcomes for applications in medical diagnostics and molecular and … epidemiological research. We here present the analysis of blood specimens of 3,388 adult individuals, together with phenotype characteristics such as disease history, medication status, lifestyle factors, and body mass index (BMI). The size and heterogeneity of this data challenges analytics in terms of dimension reduction, knowledge mining, feature extraction, and data integration. Methods: Self-organizing maps (SOM)-machine learning was applied to study transcriptional states on a population-wide scale. This method permits a detailed description and visualization of the molecular heterogeneity of transcriptomes and of their association with different phenotypic features. Results: The diversity of transcriptomes is described by personalized SOM-portraits, which specify the samples in terms of modules of co-expressed genes of different functional context. We identified two major blood transcriptome types where type 1 was found more in men, the elderly, and overweight people and it upregulated genes associated with inflammation and increased heme metabolism, while type 2 was predominantly found in women, younger, and normal weight participants and it was associated with activated immune responses, transcriptional, ribosomal, mitochondrial, and telomere-maintenance cell-functions. We find a striking overlap of signatures shared by multiple diseases, aging, and obesity driven by an underlying common pattern, which was associated with the immune response and the increase of inflammatory processes. Conclusions: Machine learning applications for large and heterogeneous omics data provide a holistic view on the diversity of the human blood transcriptome. It provides a tool for comparative analyses of transcriptional signatures and of associated phenotypes in population studies and medical applications.

Authors: M. Schmidt, L. Hopp, A. Arakelyan, H. Kirsten, C. Engel, K. Wirkner, K. Krohn, R. Burkhardt, J. Thiery, M. Loeffler, H. Loeffler-Wirth, H. Binder

Date Published: 11th Mar 2021

Publication Type: Journal article

Deciphering the Transcriptomic Heterogeneity of Duodenal Coeliac Disease Biopsies.
LHA - Leipzig Health Atlas

Abstract (Expand)

Coeliac disease (CD) is a clinically heterogeneous autoimmune disease with variable presentation and progression triggered by gluten intake. Molecular or genetic factors contribute to disease heterogeneity, … but the reasons for different outcomes are poorly understood. Transcriptome studies of tissue biopsies from CD patients are scarce. Here, we present a high-resolution analysis of the transcriptomes extracted from duodenal biopsies of 24 children and adolescents with active CD and 21 individuals without CD but with intestinal afflictions as controls. The transcriptomes of CD patients divide into three groups-a mixed group presenting the control cases, and CD-low and CD-high groups referring to lower and higher levels of CD severity. Persistence of symptoms was weakly associated with subgroup, but the highest marsh stages were present in subgroup CD-high, together with the highest cell cycle rates as an indicator of virtually complete villous atrophy. Considerable variation in inflammation-level between subgroups was further deciphered into immune cell types using cell type de-convolution. Self-organizing maps portrayal was applied to provide high-resolution landscapes of the CD-transcriptome. We find asymmetric patterns of miRNA and long non-coding RNA and discuss the effect of epigenetic regulation. Expression of genes involved in interferon gamma signaling represent suitable markers to distinguish CD from non-CD cases. Multiple pathways overlay in CD biopsies in different ways, giving rise to heterogeneous transcriptional patterns, which potentially provide information about etiology and the course of the disease.

Authors: J. Wolf, E. Willscher, H. Loeffler-Wirth, M. Schmidt, G. Flemming, M. Zurek, H. H. Uhlig, N. Handel, H. Binder

Date Published: 4th Mar 2021

Publication Type: Journal article

oposSOM-Browser: an interactive tool to explore omics data landscapes in health science
LHA - Leipzig Health Atlas, oBIG - omics Bioinformatics for Health

Abstract (Expand)

Background: oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and … visualization. Results: These functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular 'portrait landscapes', of associated phenotype diversity, and signalling pathway activation patterns. Conclusion: The oposSOM-Browser makes available interactive data browsing for five transcriptome data sets of cancer (melanomas, B-cell lymphomas, gliomas) and of peripheral blood (sepsis and healthy individuals) at www.izbi.uni-leipzig.de/opossom-browser .

Authors: Henry Loeffler-Wirth, Jasmin Reikowski, Siras Hakobyan, Jonas Wagner, Hans Binder

Date Published: 1st Dec 2020

Publication Type: Journal article

Covid-19 Transmission Trajectories-Monitoring the Pandemic in the Worldwide Context.
Task Force COVID-19 Leipzig

Abstract (Expand)

The Covid-19 pandemic is developing worldwide with common dynamics but also with marked differences between regions and countries. These are not completely understood, but presumably, provide a clue … to find ways to mitigate epidemics until strategies leading to its eradication become available. We describe an iteractive monitoring tool available in the internet. It enables inspection of the dynamic state of the epidemic in 187 countries using trajectories that visualize the transmission and removal rates of the epidemic and in this way bridge epi-curve tracking with modelling approaches. Examples were provided which characterize state of epidemic in different regions of the world in terms of fast and slow growing and decaying regimes and estimate associated rate factors. The basic spread of the disease is associated with transmission between two individuals every two-three days on the average. Non-pharmaceutical interventions decrease this value to up to ten days, whereas 'complete lock down' measures are required to stop the epidemic. Comparison of trajectories revealed marked differences between the countries regarding efficiency of measures taken against the epidemic. Trajectories also reveal marked country-specific recovery and death rate dynamics. The results presented refer to the pandemic state in May to July 2020 and can serve as 'working instruction' for timely monitoring using the interactive monitoring tool as a sort of 'seismometer' for the evaluation of the state of epidemic, e.g., the possible effect of measures taken in both, lock-down and lock-up directions. Comparison of trajectories between countries and regions will support developing hypotheses and models to better understand regional differences of dynamics of Covid-19.

Authors: H. Loeffler-Wirth, M. Schmidt, H. Binder

Date Published: 20th Jul 2020

Publication Type: Journal article

Human Diseases: COVID-19

SOMmelier-Intuitive Visualization of the Topology of Grapevine Genome Landscapes Using Artificial Neural Networks.
oBIG - omics Bioinformatics for Health

Abstract (Expand)

BACKGROUND: Whole-genome studies of vine cultivars have brought novel knowledge about the diversity, geographical relatedness, historical origin and dissemination, phenotype associations and genetic … markers. METHOD: We applied SOM (self-organizing maps) portrayal, a neural network-based machine learning method, to re-analyze the genome-wide Single Nucleotide Polymorphism (SNP) data of nearly eight hundred grapevine cultivars. The method generates genome-specific data landscapes. Their topology reflects the geographical distribution of cultivars, indicates paths of cultivar dissemination in history and genome-phenotype associations about grape utilization. RESULTS: The landscape of vine genomes resembles the geographic map of the Mediterranean world, reflecting two major dissemination paths from South Caucasus along a northern route via Balkan towards Western Europe and along a southern route via Palestine and Maghreb towards Iberian Peninsula. The Mediterranean and Black Sea, as well as the Pyrenees, constitute barriers for genetic exchange. On the coarsest level of stratification, cultivars divide into three major groups: Western Europe and Italian grapes, Iberian grapes and vine cultivars from Near East and Maghreb regions. Genetic landmarks were associated with agronomic traits, referring to their utilization as table and wine grapes. Pseudotime analysis describes the dissemination of grapevines in an East to West direction in different waves of cultivation. CONCLUSION: In analogy to the tasks of the wine waiter in gastronomy, the sommelier, our 'SOMmelier'-approach supports understanding the diversity of grapevine genomes in the context of their geographic and historical background, using SOM portrayal. It offers an option to supplement vine cultivar passports by genome fingerprint portraits.

Authors: M. Nikoghosyan, M. Schmidt, K. Margaryan, H. Loeffler-Wirth, A. Arakelyan, H. Binder

Date Published: 17th Jul 2020

Publication Type: Journal article

The aging human body shape.
LIFE Adult

Abstract (Expand)

Body shape and composition are heterogeneous among humans with possible impact for health. Anthropometric methods and data are needed to better describe the diversity of the human body in human … populations, its age dependence, and associations with health risk. We applied whole-body laser scanning to a cohort of 8499 women and men of age 40-80 years within the frame of the LIFE (Leipzig Research Center for Civilization Diseases) study aimed at discovering health risk in a middle European urban population. Body scanning delivers multidimensional anthropometric data, which were further processed by machine learning to stratify the participants into body types. We here applied this body typing concept to describe the diversity of body shapes in an aging population and its association with physical activity and selected health and lifestyle factors. We find that aging results in similar reshaping of female and male bodies despite the large diversity of body types observed in the study. Slim body shapes remain slim and partly tend to become even more lean and fragile, while obese body shapes remain obese. Female body shapes change more strongly than male ones. The incidence of the different body types changes with characteristic Life Course trajectories. Physical activity is inversely related to the body mass index and decreases with age, while self-reported incidence for myocardial infarction shows overall the inverse trend. We discuss health risks factors in the context of body shape and its relation to obesity. Body typing opens options for personalized anthropometry to better estimate health risk in epidemiological research and future clinical applications.

Authors: A. Frenzel, H. Binder, N. Walter, K. Wirkner, M. Loeffler, H. Loeffler-Wirth

Date Published: 29th Mar 2020

Publication Type: Not specified

Transcriptome-Guided Drug Repositioning.
oBIG - omics Bioinformatics for Health

Abstract (Expand)

Drug repositioning can save considerable time and resources and significantly speed up the drug development process. The increasing availability of drug action and disease-associated transcriptome data … makes it an attractive source for repositioning studies. Here, we have developed a transcriptome-guided approach for drug/biologics repositioning based on multi-layer self-organizing maps (ml-SOM). It allows for analyzing multiple transcriptome datasets by segmenting them into layers of drug action- and disease-associated transcriptome data. A comparison of expression changes in clusters of functionally related genes across the layers identifies "drug target" spots in disease layers and evaluates the repositioning possibility of a drug. The repositioning potential for two approved biologics drugs (infliximab and brodalumab) confirmed the drugs' action for approved diseases (ulcerative colitis and Crohn's disease for infliximab and psoriasis for brodalumab). We showed the potential efficacy of infliximab for the treatment of sarcoidosis, but not chronic obstructive pulmonary disease (COPD). Brodalumab failed to affect dysregulated functional gene clusters in Crohn's disease (CD) and systemic juvenile idiopathic arthritis (SJIA), clearly indicating that it may not be effective in the treatment of these diseases. In conclusion, ml-SOM offers a novel approach for transcriptome-guided drug repositioning that could be particularly useful for biologics drugs.

Authors: A. Arakelyan, L. Nersisyan, M. Nikoghosyan, S. Hakobyan, A. Simonyan, L. Hopp, H. Loeffler-Wirth, H. Binder

Date Published: 12th Dec 2019

Publication Type: Journal article

Spatial transcriptomics of human sebaceous gland hyperplasia
LHA - Leipzig Health Atlas

The lipid-secreting sebaceous glands (SG) are indispensable for maintaining skin structure and function, and may influence whole body’s energy metabolism. SG deregulation is also associated with a number of skin disorders, including but not limited to acne. Here, we exploit the high cellular resolution provided by sebaceous hyperplasia to spatially characterize the human SG transcriptional program. By integrating single-cell spatial transcriptomics, pseudotime analysis, RNA velocity, and functional ...

Creators: Maria Schmidt, Henry Löffler-Wirth, Hans Binder, Marlon Schneider

Submitter: Henry Löffler-Wirth

Data file type: Transcriptomic Data

Supplementary file 1
imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies
No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Not specified

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Published Manuskript
imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies
No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Not specified

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Manuscript
LHA - Leipzig Health Atlas
No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Not specified

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LGG combiSOM portraying workspace
GGN - German Glioma Network

This workspace contains all data generated by the combiSOM analysis of patient-matched gene expression, DNA-methylation and copy number variation (CNV) of 121 lower grade glioma (LGG) specimen.

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: SOM Data

Expression data from cerebral tumors of WHO grade II and III (Expression Data)
GGN - German Glioma Network

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.

Creators: Henry Löffler-Wirth, Markus Kreuz

Submitter: Christoph Beger

Data file type: Genomic Data

Human Diseases: brain glioma

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Expression Data from Mature Aggressive B-cell lymphomas and Burkitt's Lymphoma
MMML - Molecular mechanisms in malignant lymphoma, MMML-MYC-SYS

We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 873 biopsy specimens including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma (BL), mixed FL/DLBCL lymphomas, primary mediastinal large B-cell lymphoma (PMBL), multiple myeloma (MM), IRF4-rearranged large cell lymphoma, MYC-negative high-grade B-cell lymphomas with Chr. 11q aberration pattern (mnBLL-11q), and Mantle cell lymphoma (MCL).

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Data file type: Other OMICs Data

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Methylation data from cerebral tumors of WHO grade II and III (Betas)
GGN - German Glioma Network

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Creators: Hans Binder, Markus Kreuz, Henry Löffler-Wirth

Submitter: Christoph Beger

Data file type: Methylation Data

Human Diseases: brain glioma

3D-body scanner data of the LIFE adult study
LIFE Adult

Three-dimensional (3D) whole body scanner data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Data file type: Not specified

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Single cell expression data of melanoma
Leipzig Melanoma Studies

307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type, BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis, respectively

Creators: Hans Binder, Henry Löffler-Wirth, Manfred Kunz

Submitter: Christoph Beger

Data file type: Genomic Data

Human Diseases: melanoma

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2 hidden items
oposSOM Browser
LHA - Leipzig Health Atlas

oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization. These functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular ...

Creator: Henry Löffler-Wirth

Submitter: René Hänsel

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LHA Body typer
LIFE Adult

The LHA Body typer is an interactive app that enables interested users to determine their body type by manual measuring of few body lengths and girths. Additionally, data derived from body scanner devices can be uploaded for automatic body type annotation with regard to the body shapes identified in the Leipzig population.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

PanCancer Browser
LHA - Leipzig Health Atlas

The PanCancer Browser is a web application for the interactive comparison of molecular landscapes of different cancers provided by the oposSOM analysis pipeline. It complements the single data set-centered browsing tool oposSOM-Browser.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Covid-19 Viewer
Task Force COVID-19 Leipzig

The Covid‐19 viewer provides an intuitive tool to monitor the development of the pandemic in 188 countries using simple plots. The tool is interactive and enables the user to select different plots for single countries, groups or all of them. It visualizes descriptive features such as slopes or flattening behaviour of epidemic numbers and of their increments to allow a qualitative justification of the current state of the pandemic, e.g. whether it is growing exponentially, stopped due to counter ...

Creators: Hans Binder, Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

oposSOM
HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome

Analysis of large-scale molecular biological data using self-organizing maps

Comprehensive analysis of genome-wide molecular data challenges bioinformatics methodology in terms of intuitive visualization with single-sample resolution, biomarker selection, functional information mining and highly granular stratification of sample classes. oposSOM combines those functionalities making use of a comprehensive analysis and visualization strategy based on self-organizing maps (SOM) machine learning ...

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

External Link
scrat
Leipzig Melanoma Studies

Contribute to hloefflerwirth/scrat development by creating an account on GitHub.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Covid-19 trajectories: Monitoring pandemic in the worldwide context
Task Force COVID-19 Leipzig

Background: Covid-19 pandemic is developing worldwide with common dynamics but also with partly marked differences between regions and countries. They are not completely understood, but presumably, provide one clue to find ways to mitigate epidemics until exit strategies to its eradication become available. Method: We provide a monitoring tool available at www.izbi.de. It enables inspection of the dynamic state of the epidemic in 187 countries using trajectories. They visualize transmission and ...

Creators: Hans Binder, Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

LGG combiSOM data portrayal quick start guide
GGN - German Glioma Network

This markdown document demonstrates how to generate key data portrayal analyses and visualizations from a workspace created by the combiSOM package. The triple-omics SOM portrayal approach presented here combines patient-matched gene expression, DNA-methylation and copy number variation (CNV) of 121 lower grade glioma (LGG) specimen.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

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NHL
No description specified

Projects: HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, GLA - German Lymphoma Alliance

Web page: Not specified

LIFE Management Cluster
No description specified

Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, SepNet - German Competence Network Sepsis, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, LIFE Child, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, LIFE Adult

Web page: https://www.uniklinikum-leipzig.de/einrichtungen/life

i:DSem - Integrative Datensemantik in der Systemmedizin

Within the framework of the funding measure "i:DSem - Integrative Data Semantics in Systems Medicine", the Federal Ministry of Education and Research supports research projects that take up this approach. Interdisciplinary research projects are to create the basis so that in the future, for example, the attending physician will have application-oriented computer programmes at his or her disposal that will enable him or her to access all clinically relevant data. This should significantly support ...

Projects: LHA - Leipzig Health Atlas

Web page: https://www.gesundheitsforschung-bmbf.de/de/i-dsem-integrative-datensemantik-in-der-systemmedizin-3367.php

NFDI - German National Research Data Infrastructure

In the German National Research Data Infrastructure (NFDI), valuable data from science and research are systematically accessed, networked and made usable in a sustainable and qualitative manner for the entire German science system. Up to now, they have mostly been available on a decentralised, project-related or temporary basis. The NFDI aims to create a permanent digital repository of knowledge as an indispensable prerequisite for new research questions, findings and innovations. Relevant data ...

Projects: NFDI4Health, Task Force COVID-19 Leipzig, NFDI4Health - TA3 Services, Clinical Trials Leipzig

Web page: https://www.nfdi.de/?lang=en

European Union’s Horizon 2020
No description specified

Projects: imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies

Web page: Not specified

Default Programme

This is the Programme users can request to have a Project created and associated with, without the need to create and manage their own.

Projects: SCALE-TORT, oBIG - omics Bioinformatics for Health, e:Med

Web page: Not specified

Glioma
No description specified

Projects: GGN - German Glioma Network

Web page: Not specified

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Health Atlas - Local Data Hub/Leipzig

The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

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