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Franke, A.

Publications and source records attributed to Franke, A..

At least 19 recordsLinked to original sources

A metaproteomics-based meta study of samples from patients with inflammatory bowel disease identifies potential markers for diagnosis and therapy monitoring

Inflammatory bowel disease (IBD) is a chronic intestinal disorder involving recurring inflammation and pronounced microbial dysbiosis. Comprehensive studies with large patient cohorts are required to Identify meaningful biomarker candidates for diagnosing and monitoring IBD. In this large-scale meta-study of over 600 samples based on fecal metaproteomics, our goal was to validate known biomarkers and discover new candidates. We performed bioinformatic reanalysis using the Mascot search engine and MMUPHin for batch effect correction as well as knowledge graph-enhanced data analysis. We identified 59 protein groups that varied primarily due to disease, rather than laboratory conditions. These included Alpha-1-acid glycoprotein, which was not reported in the original studies. Of these groups, 53 were differentially abundant in at least one of the two validation datasets. Additionally, 23 of the successfully validated protein groups, primarily from human neutrophil vesicles, were found to be significantly associated with remission during treatment in an independent dataset. This finding suggests their potential for disease monitoring. Validation in other disease contexts, such as non-alcoholic steatohepatitis, diabetes, and colorectal cancer, revealed the necessity of biomarker panels, because individual biomarkers could only distinguish IBD from specific conditions. Our results demonstrate the effectiveness of metaproteomics meta-analyses in discovering and validating biomarker panels and assessing their specificity for IBD. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/684320v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@18a6617org.highwire.dtl.DTLVardef@1349adaorg.highwire.dtl.DTLVardef@a27044org.highwire.dtl.DTLVardef@78aabe_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

The dynamic role of HLA proteins on compositional alterations of T-cell repertoires in inflammatory bowel disease

BackgroundInflammatory bowel disease (IBD), which is characterised by genetic predispositions and dysregulated immune responses, is rapidly emerging as a global health challenge. Genetic variations in the human leukocyte antigen (HLA) region are strongly associated with IBD; nonetheless, the functional consequences of this variation on the composition of T-cell receptors remain poorly understood. MethodsWe conducted comprehensive CDR3-QTL mapping using T-cell receptor beta (TRB) repertoires paired with HLA allotypes from 1,973 individuals, including 1,201 individuals with IBD and 772 healthy controls (HCs), to explore the role of the HLA allelic variants on TRB composition. Using network analyses, we defined key CDR3 motifs of public clones that were linked to risk HLA alleles for chronic inflammatory diseases. ResultsWe identified novel sites within both HLA class I and class II proteins that were strongly linked to TRB amino acid composition - cdr3QTLs, in both HCs and individuals with IBD. Those sites in HLA-DRB1 and HLA-DQ had stronger effects on CDR3 composition than did the disease in the IBD cohort. In HCs, but not in UC or CD, the strongest HLA signals that affected expanded clones, overlapped with primary CD risk loci from GWAS, e.g., DRB1 site 70 and DQA1 site 25. The strongest CD-specific effects on TRB composition were found in HLA-B, especially at sites that modulate viral responses (e.g., HLA-B sites 9, 67). Finally, the main risk HLA alleles for chronic inflammatory diseases clustered together based on the physicochemical properties of residues mapped to cdr3QTLs, suggesting that risk alleles might exert similar effects on the TRB repertoire. ConclusionStructurally, the main cdr3QTLs in both HLA class I/II are located in peptide-binding sites or sites contacting TCRs, highlighting their direct and antigen-mediated influences on TRB repertoires. Our findings suggest that cdr3QTLs in HLA class I exert IBD-specific effects on the TRB composition, influencing the dysregulated T cell responses implicated in IBD pathogenesis, possibly on the earlier stages of T cell development. While HLA class II cdr3QTLs show universal effects and strong associations with T-cell receptors, irrespective of disease.

immunology↗

Convergent genomic responses of human gut bacteria to variations in industrialization

To what extent gut bacteria respond to the distinct ecological pressures imposed by human lifestyle remains unclear. Here, we investigate how genomic adaptation in gut bacteria differ between industrialized and non-industrialized human populations. We generated a broad collection of isolate genomes spanning diverse host geographies, lifestyles, species, and strains. We first found that compared to MAGs, paired isolate genomes recover more functional elements and signals of horizontal gene transfers (HGTs). Leveraging isolate genomes from multiple species, we find that strains from industrialized hosts experience an expansion of proteome size and harbor greater pangenome fluidity, driven by recent events of HGTs. Gene- and variant-level analyses reveal convergent patterns of lifestyle-specific adaptation in functions that are critical for ecological adaptation, such as stress response, cell envelope remodeling and central metabolism. Our results demonstrate that industrialization imprints evolutionary signatures on gut bacterial genomes, illuminating the effects of rapidly changing environments on human biology.

evolutionary biology↗

Discovery of rare antigen-specific TCRs via replicate profiling

Development of effective vaccines and targeted immunotherapies for cancer, autoimmunity, allergy, and infectious diseases requires comprehensive understanding of functionality and antigenic specificity of involved T cell clones. A major technical challenge remains the high-throughput identification of antigen-specific T cells. Here, we present a rapid cost-efficient TCR discovery assay starting from PBMC that enables ultra-sensitive discovery of clonal alpha-beta paired TCRs responding to individual or pooled peptides. In a small-scale experiment with a single donor, assay identified over 90 SARS-CoV-2-specific CD4+ and CD8+ TCR{beta} clonotypes, validated by clonal tracking and comparison against known SARS-CoV-2-specific TCRs. Positioning within the scRNA-Seq map revealed distinct helper T cell subsets involved in primary and secondary response. Further validation in a cohort of five donors identified nearly 1,000 CD4+ and CD8+ TCR clonotypes specific to viral and fungal peptide antigens. The assay demonstrated exceptional sensitivity in capturing low-frequency clones and allowed accurate TCR/TCR{beta} pairing, validated using single-cell transcriptomics. The ability to capture low-frequency antigen-specific TCRs, combined with detailed scRNA-Seq annotation, establishes an integrated pipeline that links antigen-responsive clones to their precise functional phenotypes. This platform provides a robust foundation for dissecting T cell roles in health and disease and accelerates the development of vaccines and immunotherapies.

immunology↗

Genome-scale metabolic models predict diet- and lifestyle-driven shifts of ecological interactions in the gut microbiome

1.Microbiomes and their host environments form complex, interconnected ecosystems. The microbial species within a microbiome, on the one hand, compete for resources, while on the other hand, they exchange vital metabolites to support their survival. These interactions are influenced by the microbial genetic repertoire, environmental conditions, and the availability of nutrients. We developed EcoGS (http://www.github.com/KaletaLab/EcoGS), a metabolic modelling tool designed to predict ecological interactions between pairs of microbes. Applying EcoGS to the microbiomes of two distinct human cohorts revealed a shift from collaborative to exploitative ecological interactions associated with higher dietary intake of simple sugars (glucose and fructose), in diabetic individuals and those living in industrialised lifestyles. On the other hand, the consumption of Cobalamin (vitamin B12), phylloquinone (vitamin K1) and biotin (vitamin B7), among other compounds, was associated with increased collaboration in the gut microbiome. We conclude that the abundance of simple sugars as an energy source reduces the necessity for microbes to cooperate, thereby increasing competition and hostility among microbiome members. Moreover, our study proposes multiple compounds, such as urate, deoxyadenosine, deoxyguanosine, and hypoxanthine, for in vitro validation tests as dietary interventions that have the potential to restore the ecological balance amongst the community. EcoGS serves as a valuable tool for exploring microbiome dynamics and their connections to environmental changes and disease.

systems biology↗

High throughput profiling of the B cell repertoire identifies systematic changes in the repertoire of individuals with Crohn's disease

The B cell repertoire contains the recombined DNA sequences that encodes the entire antibody repertoire of an individual. The repertoire is made from three antigenic binding chains, namely the immunoglobulin heavy chain (IGH) and two immunoglobulin light chains, {kappa} (IGK) and {lambda} (IGL). Compared to the T cell repertoire, the B cell repertoire is understudied in inflammatory bowel diseases (IBD) even though different antibodies such as ASCA and ANCA have been shown to be elevated in individuals with IBD. Furthermore, most IBD B cell repertoire studies have profiled the repertoire of treated individuals, thus capturing the combined effect of treatment and disease on the repertoire. To address this limitation, we profiled the repertoire of 24 treatment-naive individuals with CD with matching 24 symptomatic controls. The repertoire of individuals with CD showed a significant reduction in diversity and an increase in clonality, suggesting an antigen-driven expansion of clonotypes that might be driving the disease. Furthermore, we observed a significant reduction in the expansion of IgM and IgD and an expansion of IgA2 and IgG2 clonotypes in individuals with CD relative to controls. Lastly, we observed a reduction in the somatic hypermutation rate in the IGH J gene, particularly in IgM and IgA1 clonotypes, among individuals with CD relative to controls. Thus, despite the small sample size, we identified multiple alterations in the B cell repertoire of individuals with CD, highlighting the potential of the B cell repertoire in identifying antigenic exposures implicated in the diseases, demanding now larger international studies ideally including also treatment-naive and pre-clinical cases.

immunology↗

Quantifying The Impact of Bulk TCR-Seq Methodological Choices on The Profiled T Cell Repertoire

Bulk T cell repertoire profiling using sequencing (TCR-Seq) is a powerful method to investigate T cell responses to natural infections, vaccines, cancers, and autoimmune diseases. This assay can be conducted using various techniques, such as multiplex PCR or 5-RACE. However, each methods introduces systematic biases that can result in different pictures of the underlying T cell repertoire. Furthermore, the impact of technical variables on the accuracy of these methods remains understudied. Thus, in this study, we systematically characterized different multiplex PCR-based protocols, focusing on the quality and quantity of the utilized RNA/DNA, extraction methods, amplification programs, variations between production batches, and technical handling of samples. Our findings highlight the important role of RNA/DNA quality in shaping the profiling results of T cell repertoires. Whereas low RNA/DNA quantities can be partially compensated for by increasing the number of PCR cycles, this is partially not possible with lower quality. In conclusion, our results highlight the influence of different technical choices on the biological conclusions drawn from TCR-Seq data and provide practical guidelines to finetune these variables to ensure consistent and reliable results under diverse experimental constraints.

immunology↗

Analyzing the T cell receptor repertoire of 2,804 individuals with inflammatory bowel disease identifies public T cell responses involved in the pathogenesis

Whereas altered immune processes have been identified in individuals with inflammatory bowel disease (IBD), potentially causative antigens remain to be identified. By interrogating the immune repertoire of individuals with IBD, an identification of common antigenic exposures associated with the disease can be obtained. We analyzed the T cell receptor beta (TRB) chain repertoire of 1,890 individuals with Crohns disease (CD) and 914 individuals with ulcerative colitis (UC), enabling the identification of 327 TRB clonotypes associated with CD and 130 with UC. We validated the expansion of these clonotypes in a cohort of treatment-naive individuals with either CD, UC or symptomatic control (n=855). These disease-associated clonotypes were restricted to disease-associated risk HLA alleles and their expansion correlated with disease-severity but not with surgery or treatment trajectory. In conclusion, we identified and validated TRB clonotypes that are associated with either CD or UC, these clonotypes are a novel therapeutic target in IBD.

immunology↗

Directional selection failed to produce changes in olfactory Y-maze learning and memory but induced changes in climbing phenotypes

Learning and memory are fundamental complex traits that allow for assessment and response to changes in their environment. Beyond cognition, these high order traits require several subcomponents, from sensory perception to motor output, in order to execute the intended response to a stimulus. Within the population, we see variation among individuals in abilities to perform learning and memory tasks. It is still largely unknown what genetic factors contribute to variability in these phenotypes; therefore, our study aims to gain better insight by utilizing a directional selection paradigm to drive differences in olfactory learning and memory behavior. Directional selection experiments allow for evaluation of the response to selective pressures across multiple biological levels through amplification of phenotype differences between groups. We used a reward based olfactory associative learning and memory assay to train a synthetic population of flies allowing only those who passed both tests to mate across ten generations. Our study shows significant changes in the climbing subcomponent required to perform well on the y-maze assay, however, we did not observe any significant changes to olfactory learning and memory behavior.

genetics↗

Multi-centered T cell repertoire profiling identifies novel alterations in the immune repertoire of individuals with inflammatory bowel disease and validates previous findings

IntroductionIBD is an incurable immune-mediated inflammatory disease (IMID), affecting the gut with a high rate of primary- and secondary-loss-of-response to therapy. By investigating the T cell receptor repertoire of individuals with IBD, novel therapeutic and preventive strategies can be identified, and a better understanding of IBD can be obtained. MethodsWhereas most studies have so far focused on the more diverse T cell receptor beta (TRB) repertoire, we here profiled the alpha (TRA) repertoire of three cohorts containing treatment-naive and treated individuals in addition to individuals living with the disease for >20 years, resulting in an exhaustive dataset containing the TRA repertoire of 2,151 individuals. ResultsUsing the generated datasets, we were able to replicate previous findings describing the expansion of Crohns-associated invariant T (CAIT) cells in individuals with Crohns disease (CD) in the three cohorts. Using a hypothesis-free statistical testing framework, we identified clonotypes that were associated with the disease at its different stages, e.g., at the time of diagnosis and decades post-diagnosis. By conducting a meta-analysis across the three cohorts, we were able to identify a set of clonotypes that were associated with the disease regardless of its stage. We validated our findings in a previously published independent test dataset from a German cohort, showing the robustness of the identified sets of clonotypes. ConclusionThe identified clonotypes are potential novel therapeutic targets to treat IBD, e.g., through targeted depletion. These clonotypes are also of major interest as they can be investigated in a targeted fashion to identify culprit antigen(s) in IBD.

immunology↗

Mapping adaptive immune responses toward fungal antigens in inflammatory bowel disease using T cell repertoire sequencing and phage-immunoprecipitation sequencing

Inflammatory bowel disease (IBD) is an idiopathic, immune-mediated chronic inflammatory disease of the gut with two primary clinical forms, Crohns disease (CD) and ulcerative colitis (UC). Several genetic susceptibility variants have been associated with IBD, such as ATG16L, NOD2, and several human leukocyte antigen (HLA) alleles, nonetheless, the actual disease causes remain unknown. Whereas previous findings have shown elevated responses toward fungal antigens in individuals with IBD, e.g., elevated anti-Saccharomyces cerevisiae antibody (ASCA) levels, an exhaustive mapping of immune responses toward fungal antigens remains incomplete. Thus, we analyzed the fungal mycobiome profiled using internal transcribed spacer 2 (ITS2)-sequencing simultaneously with the T cell repertoire of 637 individuals with IBD from the SPARC IBD cohort, which enabled us to identify 31 T cell clonotypes targeting several prevalent members of the gut mycobiome. Subsequently, we developed a novel phage-immunoprecipitation sequencing (PhIP-Seq) library covering 12,000 potential antigens from the proteome of S. cerevisiae and screened for antibody responses in 100 individuals with CD and 60 healthy controls with known ASCA status, enabling us to identify public and private antibody responses against several S. cerevisiae proteins. In conclusion, we corroborated previous findings showing elevated T cell responses against fungal antigens in individuals with IBD and identified multiple antigenic proteins from the proteome of S. cerevisiae that are targeted by the immune system of individuals with and without CD.

immunology↗

Decoding the restriction of T cell receptors to human leukocyte antigen alleles using statistical learning

Conventional T cells recognize peptides presented by the human leukocyte antigen (HLA) proteins through their T cell receptors (TCRs). Given that thousands of HLA proteins have been discovered, each presenting thousands of different peptide antigens, decoding the cognate HLA protein of a TCR experimentally is a challenging task. To address this problem, we combined statistical learning methods with a unique dataset of paired T cell repertoires and HLA allele information for 6,794 individuals. This enabled us to discover 53,870 T cell receptor alpha (TRA) and 1,095,576 beta (TRB) clonotypes that were associated with 437 unique HLA alleles. The identified clonotypes were targeting prevalent infections, e.g. influenza, cytomegalovirus and Epstein-Barr virus. Utilizing these clonotypes, we developed statistical models that impute the carriership of common HLA alleles from the TRA- or TRB-repertoire. In conclusion, the identified allele-associated clonotypes encode the HLA fingerprints and the immune exposure history of individuals and populations.

immunology↗

Simultaneous Profiling of the Blood and Gut T and B Cell Repertoires in Crohn's Disease and Symptomatic Controls Illustrates Tissue-specific Alterations in the Immune Repertoire of Crohn's Disease Patients

Crohns disease (CD) is a clinical subset of inflammatory bowel disease that is characterized by patchy transmural inflammation across the gastrointestinal tract. Although the exact etiology remains unknown, recent findings suggest that it is a complex multifactorial disease with contributions from the host genetics and environmental factors such as the microbiome. We have shown that the T cell repertoire of CD patients harbors a group of highly expanded T cells which hints toward an antigen-mediated pathology. To profile the immunological signature of CD at a high-resolution we simultaneously profiled the {beta} and {gamma}{delta} T cell repertoire in addition to the B cell repertoire of both the blood and the colonic mucosa for 27 treatment-naive CD patients and 27 age-matched symptomatic controls. Regardless of disease, we observed multiple physiological differences between the immune repertoire of blood and colonic mucosa. Additionally, by comparing the repertoire of CD patients relative to controls, we observed different alterations that were only detected in the blood or colonic mucosa. These include a depletion of mucosal-associated invariant T (MAIT) cells in the blood repertoire, an expansion of TRAV29/DV5-TRAJ5+ clonotypes and a significant depletion of multiple IGHV3-33-IGHJ4+and IGHV3-33-IGHJ6+ clonotypes in the blood and gut IGH repertoire of CD patients. In conclusion, our findings highlight the importance of studying the immune repertoire in a tissue-specific manner and the need to profile the T and B cell immune repertoire of gut tissues.

immunology↗

Antigen-driven expansion of public clonal T cell populations in inflammatory bowel diseases

BackgroundInflammatory Bowel Diseases (IBDs), including Crohns disease (CD) and ulcerative colitis (UC), are known to involve shifts in the T-cell repertoires of affected individuals. These include a reduction in regulatory T cells in both diseases, increase in TNF production in CD, expansion of an unconventional T-cell population in CD, and clonal expansion of abundant T-cell populations in CD mucosal tissue. There are also differential HLA risk and protective alleles between CD and UC, implying CD- and UC-specific repertoire changes that have not yet been identified. MethodsWe performed ImmunoSequencing on blood samples from 3,853 CD cases, 1,803 UC cases, and 5,596 healthy controls. For each sample we imputed HLA type and cytomegalovirus (CMV) infection status based on public T-cell receptor {beta} (TCRB) usage and identified public TCRBs enriched in CD or UC cases. FindingsWe determine that there is more expansion across clonotypes in CD, but not UC, compared with healthy controls. We also identify novel interactive effects of HLA-DQ heterodimers with CD and UC risk. Strikingly, from blood we identify public TCRBs specifically expanded in CD or UC. These sequences are more abundant in intestinal mucosal samples, form groups of similar CDR3 sequences, and can be associated to specific HLA alleles. Although the prevalence of these sequences is higher in ileal and ileocolonic CD than colonic CD or UC, the TCRB sequences themselves are shared across CD and not between CD and UC. InterpretationThere are peptide antigens that commonly evoke immune reactions in IBD cases and rarely in non-IBD controls. These antigens differ between CD and UC. CD, particularly ileal CD, also seems to involve more substantial changes in clonal population structure than UC, compared to healthy controls.

immunology↗

Splicing-aware resolution of scRNA-Seq data

Single-cell RNA sequencing (scRNA-Seq) provides invaluable insights in cell biology. Current scRNA-Seq analytic approaches do not distinguish between spliced and unspliced mRNA. RNA velocity paradigm suggests that the presence of unspliced mRNA reflects transitional cell states, informative for studies of dynamic processes such as embryogenesis or tissue regeneration. Alternatively, stable cell subsets may also maintain unspliced mRNA reservoirs for prompt initiation of transcription-independent expression. Based on the latter paradigm, we have developed a method called SANSARA (Splicing-Aware scrNa-Seq AppRoAch) for the splicing-aware analysis of scRNA-Seq data. We employed SANSARA to characterize peripheral blood regulatory T cell (Treg) subsets, revealing the complex interplay between FoxP3 and Helios master transcription factors and other unexpected splicing-informed features. For Th1 and cytotoxic CD4+ T cell subsets, SANSARA also revealed substantial splicing heterogeneity across crucial subset-specific genes. SANSARA is straightforward to implement in current data analysis pipelines and opens new dimensions in scRNA-Seq-based discoveries.

immunology↗

Seq2MAIT: A Novel Deep Learning Framework for Identifying Mucosal Associated Invariant T (MAIT) Cells

Mucosal-associated invariant T (MAIT) cells are a group of unconventional T cells that mainly recognize bacterial vitamin B metabolites presented on MHC-related protein 1 (MR1). MAIT cells have been shown to play an important role in controlling bacterial infection and in responding to viral infections. Furthermore, MAIT cells have been implicated in different chronic inflammatory diseases such as inflammatory bowel disease and multiple sclerosis. Despite their involvement in different physiological and pathological processes, a deeper understanding of MAIT cells is still lacking. Arguably, this can be attributed to the difficulty of quantifying and measuring MAIT cells in different biological samples which is commonly done using flow cytometry-based methods and single-cell-based RNA sequencing techniques. These methods mostly require fresh samples which are difficult to obtain, especially from tissues, have low to medium throughput, and are costly and labor-intensive. To address these limitations, we developed sequence-to-MAIT (Seq2MAIT) which is a transformer-based deep neural network capable of identifying MAIT cells in bulk TCR-sequencing datasets, enabling the quantification of MAIT cells from any biological materials where human DNA is available. Benchmarking Seq2MAIT across different test datasets showed an average area-under-the-receiver-operator-curve (AU[ROC]) >0.80. In conclusion, Seq2MAIT is a novel, economical, and scalable method for identifying and quantifying MAIT cells in virtually any biological sample.

bioinformatics↗

Cell therapy with human iPSC-derived cardiomyocyte aggregates leads to efficient engraftment and functional recovery after myocardial infarction in non-human primates

BackgroundFunctionally coupled large myocardial grafts and a remarkable improvement of heart function in nonhuman primate models of myocardial infarction have been reported after transplantation of human embryonic stem cell-derived cardiomyocytes at relatively high numbers of up to 109 single cell cardiomyocytes - a dose equivalent to total cell loss after myocardial infarction in [~]10 times larger human hearts. To overcome apparent limitations associated with the application of single cells, this pre-clinical study investigated the injection of cardiomyocyte aggregates instead. MethodsHuman iPSC-derived cardiomyocyte aggregates were produced in scalable suspension culture. Intramyocardial injection of the aggregates into cynomolgus monkey hearts was conducted two weeks after myocardial infarction induced by permanent coronary artery ligation. Human cell engraftment was assessed after two weeks or three months; functional analyses included continuous telemetric ECG recording and repeated cardiac MRI assessment in comparison to sham treated animals. ResultsTreatment with cell numbers as low as 5 x 107 resulted in efficient structural engraftment. Notably, the degree of heart function recovery in vivo seemed to correlate with the contractility of the applied cardiomyocytes tested by parallel experiments in vitro. Graft-induced non-life-threatening arrhythmias were transient and decreased considerably during the three months follow-up. ConclusionsTransplantation of human iPSC-derived cardiomyocyte aggregates yielded comparable results to the reported application of higher numbers of single cell cardiomyocytes from human ESC, suggesting that the application of cardiomyocyte aggregates facilitates cell therapy development by reducing cell production costs and clinical risks associated with the administration of relatively high cell numbers. Clinical PerspectiveWhat is new? O_LIIn contrast to previously applied single cells, human iPSC-derived cardiomyocyte aggregates (hiCMAs) were transplanted in a non-human primate (NHP) model of MI, to reduce the required cell dose, promote myocardial retention of the graft, and limit the risks for adverse effects. Such low-dose treatment with almost pure ventricular cardiomyocytes produced under GMP-compliant conditions, resulted in the formation of relative large, structurally integrated human grafts in NHP hearts. C_LIO_LITransient non-life-threatening arrhythmias associated with intramyocardial cell transplantation decreased considerably during the three months follow-up. C_LIO_LIA remarkable recovery of left ventricular function was observed. This recovery notably correlated with the in vitro contractility of transplanted cardiomyocyte batches tested in bioartificial cardiac tissues (BCTs), underlining the relevance of a suitable potency assay. C_LI What are the clinical implications? O_LIIntra-myocardial injection of hiCMAs is a promising treatment modality for the recovery of contractile function after MI; their advanced production, storage and testing revealed in the study facilitate the clinical translation of hiPSC-based heart repair. C_LIO_LIThe need for relatively low numbers of cardiomyocytes produced through advanced protocols for scalable suspension culture reduces production costs of adequate cell batches, thereby increasing treatment availability. In vitro testing of the produced cell batches is required to ensure treatment efficacy. C_LIO_LIClinical hiCMA injection can be considered reasonably safe, however, pharmacological prevention and treatment of arrhythmias is required and temporary implantation of a cardioverter-defibrillator (ICD) could be considered. C_LI

cell biology↗

Sort-Seq: immune repertoire-based scRNA-Seq systematization

The functional programs selected by CD4+ helper (Th) T cell clones fundamentally determine the architecture of the immune response to distinct challenges. Advances in scRNA-Seq have enhanced our understanding of the diversity of these programs, yet the correspondence between scRNA-Seq clusters and previously characterized Th subsets remains unclear. In this study, we use immune repertoires to position phenotypically sorted Th subsets within scRNA-Seq data from three healthy donors. This approach, termed TCR-Track, and accurately maps Th1, Th1-17, Th17, Th22, Th2a, Th2, Tfh, and Treg subsets, outperforming CITE-Seq-based mapping. Remarkably, the mapping is tightly focused on specific scRNA-Seq clusters despite a four-year interval between the sorting of subsets and the effector CD4+ scRNA-Seq experiment. Thus, while transient T cell plasticity is commonly observed in functionally active T cell populations, TCR-Track reveals high intrinsic program sustainability of Th clones circulating in peripheral blood. Repertoire overlap analysis at the scRNA-Seq level confirms that circulating Th1, Th2, Th2a, Th17, Th22, and Treg subsets are clonally independent. However, a prominent clonal overlap between corresponding clusters indicates that cytotoxic CD4+ T cells differentiate from Th1 clones. More specifically, we demonstrate that sorted CCR10+ Th cells correspond to a specific Th22 scRNA-Seq cluster, while CCR10-CCR6+CXCR3-CCR4+ cells, traditionally sorted as the Th17 subset, represent a mixture of bona fide Th17 and clonally unrelated CCR10low Th22 cells, which may have confounded investigators in previous studies. This clear distinction of Th17 and Th22 subsets should influence vaccine and T cell based therapies development. Additionally, we show that SARS-CoV-2 infection is associated with transient IFN type 1 activation of naive CD4+ T cells, and an increased proportion of effector IFN- induced Th cells is associated with a moderate course of the disease but remains low in critical COVID-19 cases. Using integrated scRNA-Seq, TCR-Track, and CITE-Seq data from 122 donors, we provide a comprehensive Th scRNA-Seq reference that should facilitate further investigation of Th subsets in fundamental and clinical studies.

immunology↗