Cell Functional Heterogeneity Research Articles

Chromatin state and BACH2 control TH17 cell functional heterogeneity.

Chromatin state and BACH2 control TH17 cell functional heterogeneity.

Repression of latent NF-κB enhancers by PDX1 regulates β cell functional heterogeneity

Interactions between lineage-determining and activity-dependent transcription factors determine single-cell identity and function within multicellular tissues through incompletely known mechanisms. By assembling a single-cell atlas of chromatin state within human islets, we identified β cell subtypes governed by either high or low activity of the lineage-determining factor pancreatic duodenal homeobox-1 (PDX1). β cells with reduced PDX1 activity displayed increased chromatin accessibility at latent nuclear factor κB (NF-κB) enhancers. Pdx1 hypomorphic mice exhibited de-repression of NF-κB and impaired glucose tolerance at night. Three-dimensional analyses in tandem with chromatin immunoprecipitation (ChIP) sequencing revealed that PDX1 silences NF-κB at circadian and inflammatory enhancers through long-range chromatin contacts involving SIN3A. Conversely, Bmal1 ablation in β cells disrupted genome-wide PDX1 and NF-κB DNA binding. Finally, antagonizing the interleukin (IL)-1β receptor, an NF-κB target, improved insulin secretion in Pdx1 hypomorphic islets. Our studies reveal functional subtypes of single β cells defined by a gradient in PDX1 activity and identify NF-κB as a target for insulinotropic therapy.

Differentially expressed genes prediction by multiple self-attention on epigenetics data.

Predicting differentially expressed genes (DEGs) from epigenetics signal data is the key to understand how epigenetics controls cell functional heterogeneity by gene regulation. This knowledge can help developing 'epigenetics drugs' for complex diseases like cancers. Most of existing machine learning-based methods suffer defects in prediction accuracy, interpretability or training speed. To address these problems, in this paper, we propose a Multiple Self-Attention model for predicting DEGs on Epigenetic data (Epi-MSA). Epi-MSA first uses convolutional neural networks for neighborhood bins information embedding, and then employs multiple self-attention encoders on different input epigenetics factors data to learn which locations of genes are important for predicting DEGs. Next it trains a soft attention module to pick out which epigenetics factors are significant. The attention mechanism makes the model interpretable, and the pure matrix operation of self-attention enables the model to be parallel calculated and speeds up the training. Experiments on datasets from the Roadmap Epigenome Project and BluePrint Data Analysis Portal (BDAP) show that the performance of Epi-MSA is better than existing competitive methods, and Epi-MSA also has a smaller standard deviation, which shows that Epi-MSA is effective and stable. In addition, Epi-MSA has a good interpretability, this is confirmed by referring its attention weight matrix with existing biological knowledge.

A Proinflammatory Cytokine Network Profile in Th1/Type 1 Effector B Cells Delineates a Common Group of Patients in Four Systemic Autoimmune Diseases.

The effector T cell and B cell cytokine networks have been implicated in the pathogenesis of systemic autoimmune diseases, but the association of these cytokine networks with the heterogeneity of clinical manifestations and immune profiles has not been carefully examined. This study was undertaken to examine whether cytokine profiles can delineate distinct groups of patients in 4 systemic autoimmune diseases (systemic lupus erythematosus, Sjögren's syndrome, rheumatoid arthritis, and systemic sclerosis). A total of 179 patients and 48 healthy volunteers were enrolled in the multicenter cross-sectional PRECISE Systemic Autoimmune Diseases (PRECISESADS) study. Multi-low-dimensional omics data (cytokines, autoantibodies, circulating immune cells) were examined. Coculture experiments were performed to test the impact of the cytokine microenvironment on T cell/B cell cross-talk. A proinflammatory cytokine profile defined by high levels of CXCL10, interleukin-6 (IL-6), IL-2, and tumor necrosis factor characterized a distinct group of patients in the 4 systemic autoimmune diseases. In each disease, this proinflammatory cluster was associated with a specific circulating immune cell signature, more severe disease, and higher levels of autoantibodies, suggesting an uncontrolled proinflammatory Th1 immune response. We observed in vitro that B cells reinforce Th1 differentiation and naive T cell proliferation, leading to the induction of type 1 effector B cells and IgG production. This process was associated with an increase in CXCL10, IL-6, IL-2, and interferon-γ production. This composite analysis brings new insights into human B cell functional heterogeneity based on T cell/B cell cross-talk, and proposes a better stratification of patients with systemic autoimmune diseases, suggesting that combined biomarkers would be of great value for the design of personalized treatments.

Germinal Center Program De-Synchronization and Intra-Patient Heterogeneity in Follicular Lymphoma B-Cells Revealed By Integrative Single-Cell Analysis

IntroductionFollicular lymphoma (FL) is an indolent B-cell neoplasm with histological, phenotypical and transcriptional features of germinal center (GC) B-cells, suggesting that FL B-cells are “frozen” in a GC B-cell state. In normal GC B-cells, affinity maturation relies on iterative cycles of somatic hypermutation and proliferation followed by affinity-based selection. Thus GC B-cells are functionally heterogeneous. Although FL sub-clonal genetic diversity is well documented, tumor cell functional heterogeneity in FL has not been studied in detail. Bulk-level transcriptomic analyses fail to capture cellular heterogeneity and are thus insufficient to compare FL B-cells to the heterogeneous GC B-cell subset. Here, we used integrative single-cell analysis of phenotype, gene expression and IGH sequence to assess and compare functional heterogeneity in FL B-cells and GC B-cells.MethodsNormal B-cells were sorted from spleens or tonsil of healthy human donors (n=4), and FL B-cells from diagnostic lymph node biopsies (n=5), all available as frozen viable cell suspensions. Single normal or malignant B-cells were sorted by flow cytometry for parallel analysis of phenotype (9-color panel), gene expression (91-gene panel by microfluidic RT-qPCR), and IGH sequence (RT-PCR followed by Sanger sequencing; FL B-cells only). Custom and existing bioinformatics analysis pipelines were combined for quality control and cell filtering, dimensionality reduction (PCA, t-SNE), clustering, pseudo-time analysis, IGH sequence analysis and integrative data analysis.ResultsIn normal B-cells, single-cell gene expression profiling segregated major cell types (antibody-producing cells, memory B-cells and GC B-cells) and enabled the reconstruction of differentiation trajectories within cell types. Specifically, our data revealed a cyclic continuum of transitional GC B-cell states where synchronized expression of gene modules characterized human GC B-cell functional heterogeneity. Single-cell gene expression profiles defined FL B-cells as an independent cell type, distinct from GC B-cells. In particular, the expression of most characteristic GC-associated genes was de-synchronized in FL B-cells from all patients. Clustering of single FL B-cell 91-gene expression profiles revealed inter-patient and intra-patient heterogeneity, and defined common FL B-cell subsets found in most patients. Intra-patient heterogeneity was not linked to sub-clonal divergence as defined by IGH sequencing.ConclusionsUsing integrative single-cell analyses, we have shown that synchronized expression of characteristic gene modules drives GC B-cells through a cyclic continuum of transitional states. De-synchronization of that program in FL B-cells, and substantial intra-patient gene expression heterogeneity, suggest that FL B-cells are functionally plastic and not blocked to a GC B-cell state. DisclosuresNo relevant conflicts of interest to declare.

Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

Biological tissue consists of populations of cells exhibiting different responses to pharmacological stimuli. To probe the heterogeneity of cell function, we propose a multiplexed approach based on real‐time imaging of the secondary messenger levels within each cell of the tissue, followed by extraction of the changes of single‐cell fluorescence over time. By utilizing a piecewise baseline correction, we were able to quantify the effects of multiple pharmacological stimuli added and removed sequentially to pancreatic islets of Langerhans, thereby performing a deep functional profiling for each cell within the islet. Cluster analysis based on the functional profile demonstrated dose‐dependent changes in statistical inter‐relationships between islet cell populations. We therefore believe that the functional cytometric approach can be used for routine quantitative profiling of the tissue for drug screening or pathological testing.

Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data.

Predicting differential gene expression (DGE) from Histone modifications (HM) signal is crucial to understand how HM controls cell functional heterogeneity through influencing differential gene regulation. Most existing prediction methods use fixed-length bins to represent HM signals and transmit these bins into a single machine learning model to predict differential expression genes of single cell type or cell type pair. However, the inappropriate bin length may cause the splitting of the important HM segment and lead to information loss. Furthermore, the bias of single learning model may limit the prediction accuracy. Considering these problems, in this paper, we proposes an Ensemble deep neural networks framework for predicting Differential Gene Expression (EnDGE). EnDGE employs different feature extractors on input HM signal data with different bin lengths and fuses the feature vectors for DGE prediction. Ensemble multiple learning models with different HM signal cutting strategies helps to keep the integrity and consistency of genetic information in each signal segment, and offset the bias of individual models. Besides the popular feature extractors, we also propose a new Residual Network based model with higher prediction accuracy to increase the diversity of feature extractors. Experiments on the real datasets from the Roadmap Epigenome Project (REMC) show that for all cell type pairs, EnDGE significantly outperforms the state-of-the-art baselines for differential gene expression prediction.

Impact of Isolation Procedures on the Development of a Preclinical Synovial Fibroblasts/Macrophages in an In Vitro Model of Osteoarthritis.

Simple SummaryIn vitro models able to represent osteoarthritis (OA) synovial tissue (ST) inflammation are lacking. Therefore, we aimed to characterize OA ST and to compare mechanical and enzymatic digestion procedures to find the one that better preserve the heterogeneity of the main OA synovial cell populations: fibroblasts and macrophages. We demonstrated that typical macrophage phenotypical markers, like CD68, CD80 and CD163, were higher expressed on cells isolated with mechanical than enzymatic procedure. Moreover, we found that typical cytokines of inflammatory macrophages (i.e., TNFα) and anti-inflammatory macrophages (i.e., IL10) were also higher on mechanically isolated cells. Synovial fibroblasts were well conserved in both procedures. The definition of an OA ST model in vitro that better preserve the heterogeneity of specific cell populations represents a prerequisite for defining the real effects of new cell therapies or drugs for OA treatment, and could contribute to the reduction or avoidance of animal models.There is a lack ofin vitromodels able to properly represent osteoarthritis (OA) synovial tissue (ST). We aimed to characterize OA ST and to investigate whether a mechanical or enzymatic digestion procedures influence synovial cell functional heterogeneity in vitro. Procedures using mechanical nondigested fragments (NDF), synovial digested fragments (SDF), and filtrated synovial digested cells (SDC) were compared. An immunophenotypic profile was performed to distinguish synovial fibroblasts (CD55, CD73, CD90, CD106), macrophages (CD14, CD68), M1-like (CD80, CD86), and M2-like (CD163, CD206) synovial macrophages. Pro-inflammatory (interleukin 6 IL6), tumor necrosis factor alpha (TNFα), chemokine C-C motif ligand 3 (CCL3/MIP1α), C-X- motif chemokine ligand 10 (CXCL10/IP10) and anti-inflammatory (interleukin 10 (IL10)), transforming growth factor beta 1 (TGFβ1), C-C motif chemokine ligand 18 (CCL18) cytokines were evaluated. CD68 and CD163 markers were higher in NDF and SDF compared to the SDC procedure, while CD80, CD86, and CD206 were higher only in NDF compared to the SDC procedure. Synovial fibroblast markers showed similar percentages. TNFα, CCL3/MIP1α, CXCL10/IP10, and CCL18 were higher in NDF compared to SDC, but not compared to SDF. IL10 and TGFβ1 were higher in NDF than SDC at the molecular level, while IL6 did not show differences among procedures. We demonstrated that NDF isolation procedures better preserved the heterogeneity of specific OA synovial populations (fibroblasts, macrophages), fostering their use for testing new cell therapies or drugs for OA, reducing or avoiding the use of animal models.

An ERG Enhancer-Based Reporter Identifies Leukemia Cells with Elevated Leukemogenic Potential Driven by ERG-USP9X Feed-Forward Regulation.

Acute leukemia is a rapidly progressing blood cancer with low survival rates. Unfavorable prognosis is attributed to insufficiently characterized subpopulations of leukemia stem cells (LSC) that drive chemoresistance and leukemia relapse. Here we utilized a genetic reporter that assesses stemness to enrich and functionally characterize LSCs. We observed heterogeneous activity of the ERG+85 enhancer-based fluorescent reporter in human leukemias. Cells with high reporter activity (tagBFPHigh) exhibited elevated expression of stemness and chemoresistance genes and demonstrated increased clonogenicity and resistance to chemo- and radiotherapy as compared with their tagBFPNeg counterparts. The tagBFPHigh fraction was capable of regenerating the original cellular heterogeneity and demonstrated increased invasive ability. Moreover, the tagBFPHigh fraction was enriched for leukemia-initiating cells in a xenograft assay. We identified the ubiquitin hydrolase USP9X as a novel ERG transcriptional target that sustains ERG+85-positive cells by controlling ERG ubiquitination. Therapeutic targeting of USP9X led to preferential inhibition of the ERG-dependent leukemias. Collectively, these results characterize human leukemia cell functional heterogeneity and suggest that targeting ERG via USP9X inhibition may be a potential treatment strategy in patients with leukemia. SIGNIFICANCE: This study couples a novel experimental tool with state-of-the-art approaches to delineate molecular mechanisms underlying stem cell-related characteristics in leukemia cells.

A Pathogenic Cytokine Network Is Associated with Pro-Inflammatory B Cells in Systemic Lupus Erythematosus Patients

Objective: This report presents translational research showing that a pathogenic cytokine network could stratify systemic lupus erythematosus (SLE) patients associated with B cell dysfunction. Methods: Forty-five patients with SLE and 48 healthy volunteers (HV) were recruited from 10 centers in Europe. Cytokines analyses on patient's sera were performed using the Luminex technology. Autoantibodies measurement was realized on analyzer IDS-iSYS chemiluminescent. Patient's phenotyping was performed on whole blood. Functional profiles were explored using flow cytometry and quantitative RT-PCR. Cytokines in supernatants were measured using a multiplex bead-based assay. Results: To better understand how the cytokine microenvironment could be associated with different disease status in patients, we profiled 12 cytokines using the Luminex technology in serum from 45 SLE patients and 48 HV. We thus documented a unique pathogenic cytokine cluster in a group of patient delineated by CXCL10, IL-6, and IFN-γ. This pathogenic network was associated with pro-inflammatory helper B cells and an increase in systemic autoreactivity. We thus designed an in vitro model to study cytokine networks involved in pro- and anti- inflammatory B-cell functions. We demonstrated that CD4+ CD45RA+ naive T cells (TRA) polarized B cells toward pro-inflammatory B cells defined by a memory-like phenotype and an exacerbated production of CXCL-10, IFN-γ, and IL-2. Conclusion: This composite analysis brings new insights on human B cell functional heterogeneity and, on the other hand, proposes a better stratification of SLE patients according to their functional cytokine microenvironment suggesting that combined biomarkers would be a great value to design new personalized treatments. Clinical Trial Number: Registered on clinicaltrials.gov NCT 02890121 and NCT 02890147. Funding Statement: The research leading to these results has received support from the Innovative Medicines Initiative Joint Undertaking PRECISESADS under grant agreement n° 115565, resources of which are composed of financial contribution from the European Union's Seventh Framework Program (FP7/2007-2013) and EFPIA companies in kind contribution. Declaration of Interests: The authors declare no competing interests. Ethical Approval Statement: The study was performed in accordance with the Declaration of Helsinki and was approved by ethical committees at each site for respective sub-cohorts. All patients gave their informed consent for participating in the study, which was registered on clinicaltrials.gov NCT 02890121 and NCT 02890147.

Cell-accurate optical mapping across the entire developing heart.

Organogenesis depends on orchestrated interactions between individual cells and morphogenetically relevant cues at the tissue level. This is true for the heart, whose function critically relies on well-ordered communication between neighboring cells, which is established and fine-tuned during embryonic development. For an integrated understanding of the development of structure and function, we need to move from isolated snap-shot observations of either microscopic or macroscopic parameters to simultaneous and, ideally continuous, cell-to-organ scale imaging. We introduce cell-accurate three-dimensional Ca2+-mapping of all cells in the entire electro-mechanically uncoupled heart during the looping stage of live embryonic zebrafish, using high-speed light sheet microscopy and tailored image processing and analysis. We show how myocardial region-specific heterogeneity in cell function emerges during early development and how structural patterning goes hand-in-hand with functional maturation of the entire heart. Our method opens the way to systematic, scale-bridging, in vivo studies of vertebrate organogenesis by cell-accurate structure-function mapping across entire organs.

Stability and function of regulatory T cells expressing the transcription factor T-bet.

Adaptive immune responses are tailored to different types of pathogens through differentiation of naïve CD4 T cells into functionally distinct subsets of effector T cells (TH1, TH2, and TH17) defined by expression of key transcription factors (TFs)1. Regulatory T (Treg) cells comprise a distinct anti-inflammatory lineage specified by the X-linked TF Foxp32, 3. Paradoxically, some activated Treg cells express the aforementioned effector CD4 T cell TFs, which have been suggested to endow Treg cells with enhanced suppressive capacity4, 5, 6. Whether expression of these factors in Treg cells—akin to effector T cells—is indicative of heterogeneity of functionally discrete and stable differentiation states, or conversely may be readily reversible, is unknown. Here, we demonstrate that in Treg cells expression of the TH1-associated TF T-bet, induced at steady state and following infection, gradually becomes highly stable even under non-permissive conditions. Loss-of-function or elimination of T-bet-expressing Treg cells—but not of T-bet in Treg cells—resulted in severe TH1 autoimmunity. Conversely, following depletion of T-bet-negative Treg cells, remaining T-bet+ cells specifically inhibited TH1 and CD8 T cell activation in agreement with their co-localization with T-bet+ effector T cells. These results suggest an essential immunosuppressive function for T-bet+ Treg cells and indicate that Treg cell functional heterogeneity is a critical feature of immune tolerance.

Heterogeneity of Human CD4(+) T Cells Against Microbes.

CD4(+) T helper (Th) cells play a central role in the adaptive immune response by providing help to B cells and cytotoxic T cells and by releasing different types of cytokines in tissues to mediate protection against a wide range of pathogenic microorganisms. These functions are performed by different types of Th cells endowed with distinct migratory capacities and effector functions. Here we discuss how studies of the human T cell response to microbes have advanced our understanding of Th cell functional heterogeneity, in particular with the discovery of a distinct Th1 subset involved in the response to Mycobacteria and the characterization of two types of Th17 cells specific for extracellular bacteria or fungi. We also review new approaches to dissect at the clonal level the human CD4(+) T cell response induced by pathogens or vaccines that have revealed an unexpected degree of intraclonal diversification and propose a progressive and selective model of CD4(+) T cell differentiation.

Statistical approaches and software for clustering islet cell functional heterogeneity

ABSTRACTWorldwide efforts are underway to replace or repair lost or dysfunctional pancreatic β-cells to cure diabetes. However, it is unclear what the final product of these efforts should be, as β-cells are thought to be heterogeneous. To enable the analysis of β-cell heterogeneity in an unbiased and quantitative way, we developed model-free and model-based statistical clustering approaches, and created new software called TraceCluster. Using an example data set, we illustrate the utility of these approaches by clustering dynamic intracellular Ca2+ responses to high glucose in ∼300 simultaneously imaged single islet cells. Using feature extraction from the Ca2+ traces on this reference data set, we identified 2 distinct populations of cells with β-like responses to glucose. To the best of our knowledge, this report represents the first unbiased cluster-based analysis of human β-cell functional heterogeneity of simultaneous recordings. We hope that the approaches and tools described here will be helpful for those studying heterogeneity in primary islet cells, as well as excitable cells derived from embryonic stem cells or induced pluripotent cells.

Contemporary application of classical techniques in thyroid scanning

The thyroid consists of two lobes that are connected by an isthmus. It is located anterior to the trachea between the cricoid cartilage and the suprasternal notch. It produces two related hormones, thyroxine (T4) and triiodothyronine (T3). Benign nodules and thyroid cancer are relatively common and amenable to detection by physical examination. Nuclear medicine is a part of medicine that uses radioisotopes for the diagnosis and treatment of diseases. Technetium-99m-pertechnate is widely used for imaging the thyroid gland. 99mTc is trapped by thyroid, but unlike iodine, it does not undergo organification and remains in the gland for a relatively short period. Imaging is done 30 min after administration of radiotracer. 123Iodine has a short physical half-life of 13 h. Both tracers are pure gamma emitters. 131Iodine is worse for imaging (except metastases in thyroid differentiated cancer) because it gives a high absorbed radiation dose related to the long physical half-life of 8 days and beta emissions. It is ideal for the treatment of thyroid disease, and used in the management of differentiated thyroid cancer, Graves’ disease, and toxic nodular goitre. Indications for thyroid scintigraphy and RAI uptake are: differential diagnosis of thyrotoxicosis, before treatment with radioiodine 131I, measuring of goitre volume, ectopic goitre, congenital hypothyroidism. Other indications are metastases of well-differentiated thyroid cancer (eg. papillary or follicular cancer). Very rarely, ovarian goitre is present. The normal image of thyroid scan shows the typical butterfly shape (a shield shape according to the ancient Greeks), the position in the anterior neck area, the regular contour, without any interruption or mismatches. The distribution of the radiotracer is homogenous with intense, usually warm color in the middle of each lobe related to it thickness. The margins have a less intense color because of the decreased quantity of thyroid tissue. Physiologically the right lobe is often larger than the left one. There is imaging on the scan of the salivary glands. Nuclear imaging of Graves’ disease is characterized by an enlarged gland and increased tracer uptake (usually more than 55%) that is distributed homogenously. Toxic multinodular goitre shows irregular distribution of tracer and a normal or slightly elevated 131I uptake. The irregular tracer distribution is consistent with heterogeneity in cell function and growth, and the presence of micro- and macronodules. Large and discrete hyperfunctioning nodules may be associated with poor uptake in the extranodular thyroid tissue. The latter consists of suppressed normal tissue with less tracer accumulation. After 131I treatment, the areas that were cold may appear warm. Although the use of fine needle aspiration biopsy (FNAB) has diminished the use of thyroid scans in the evaluation of solid thyroid nodules, the functional features of thyroid nodules have some prognostic significance. So-called cold nodules, which have diminished or no tracer uptake, are usually benign. However, these nodules are more likely to be malignant (5-10%) than hot nodules, which are almost always benign. Subacute thyroiditis is associated with very low uptake because of follicular cell damage and TSH suppression. Drug-induced thyrotoxicosis or factitious thyrotoxicosis are also associated with low uptake. Thyroid scanning is used in the follow-up of thyroid cancer. After thyroidectomy and ablation using 131I, there is diminished tracer uptake in the thyroid bed, allowing the detection of metastatic thyroid cancer remnants that retain the ability to transport radioiodine. Whole body scans using 2-5 mCi (74-185 MBq) 131I are performed after thyroid hormone withdrawal to rise the TSH concentration or after the administration of rhTSH. Radioiodine 131I may be also used for treatment benign or malignant thyroid disorders.

Distinct thresholds for CD8 T cell activation lead to functional heterogeneity: CD8 T cell priming can occur independently of cell division.

To examine the bases for CD8 T cell functional heterogeneity, we analyzed responses to partial vs full agonist Ag. An extended period of interaction with APCs was required to set the threshold required for cell division in response to partial as compared with full agonist Ag. Acquisition of cytolytic function was restricted to the divided T cell population. In contrast, the threshold for commitment to produce IFN-gamma and express some activation markers appeared lower and independent of cell division. Indeed, we characterized a T cell population stimulated in response to the partial agonist that was committed to produce IFN-gamma, but failed to divide or secrete IL-2. Importantly, this activated nondivided population behaved as "primed" rather than "anergized," indicating 1) that priming of CD8 T cells may be induced by suboptimal stimulation independent of cell division and 2) that encounter with Ag does not always induce a complete differentiation program in naive CD8 T cells, as previously reported.

Liver metabolic zonation in rat biliary cirrhosis: distribution is reverse of that in toxic cirrhosis.

Liver cell functional heterogeneity has been shown to persist in toxic CCl4 cirrhosis in growing rats, but the zonation observed in cirrhotic nodules may be different in other types of cirrhosis. To investigate this possibility, we looked at the zonal activities of two microsomal enzymes, glucose-6-phosphatase and NADPH dehydrogenase, in cirrhotic nodules from growing rats with chronic cholestasis. Zonal activities were measured by quantitative cytochemistry and microdensitometry. Liver cell heterogeneity was demonstrated, and we confirmed that the metabolic zonation is the mirror image of that observed in toxic cirrhosis, with periportal activity at the nodule periphery and perivenular activity at the nodule centers. Glucose-6-phosphatase activity was 2.06 times higher at the peripheries of the nodules than at the centers, whereas NADPH dehydrogenase activity at the nodule periphery was 72% of the nodule center activity. We conclude that a liver cell functional heterogeneity persists in biliary rat cirrhosis, with zonation the reverse of that previously found in toxic CCl4 cirrhosis.

BINDING SITES IN FETAL AND GROWTH PLATE CARTILAGE

In addition to genetic and nutritional factors, linear growth during the prenatal and postnatal periods is controlled by peptide, steroid, and thyroid hormones interacting with the receptors present on the membrane or in the cytosol and nuclei of growth plate cartilage. Using standard procedures, insulin and nonsuppressible insulin-like activity (a somatomedin) showed significant binding in 600, 15,000, and 105,000 g membrane fractions of epiphyseal cartilage of immature animals. The binding of growth hormone and prolactin was small and probably not significant. Specific uptake of glucocorticoid was demonstrated in viable canine chondrocytes, but not of androgen, estrogen, or vitamin D3 metabolite. A triiodothyronine receptor was present in nuclei from dog epiphyseal cartilage. Hormones that lack binding may affect cartilage only indirectly. Hormone receptors were studied in those portions of fetal growth cartilage that will later evolve into an ossification center, articular cartilage, and epiphyseal cartilage. Cytosol fractions contained a receptor for glucocorticoid but not for androgen or estrogen. Zonal analysis showed a higher level in the peripheral and central sections than in the palisade section. Triiodothyronine binding was also detected in nuclei prepared from whole fetal cartilage. Heterogeneity of cell function was obvious in fetal cartilage. Cell division was high in the central and peripheral zones as well as the upper half of the palisade zone, but low in the lower palisade section. Proline and sulfate incorporation predominated in the palisade section compared with the central and peripheral sections. Disease states with changes of metabolic activities in the cartilage may perhaps be better understood with a clearer knowledge of receptor levels and interactions.

Steindler lecture. Binding sites in fetal and growth plate cartilage.

In addition to genetic and nutritional factors, linear growth during the prenatal and postnatal periods is controlled by peptide, steroid, and thyroid hormones interacting with the receptors present on the membrane or in the cytosol and nuclei of growth plate cartilage. Using standard procedures, insulin and "nonsuppressible insulin-like activity" (a somatomedin) showed significant binding in 600, 15,000, and 105,000 g membrane fractions of epiphyseal cartilage of immature animals. The binding of growth hormone and prolactin was small and probably not significant. Specific uptake of glucocorticoid was demonstrated in viable canine chondrocytes, but not of androgen, estrogen, or vitamin D3 metabolite. A triiodothyronine receptor was present in nuclei from dog epiphyseal cartilage. Hormones that lack binding may affect cartilage only indirectly. Hormone receptors were studied in those portions of fetal growth cartilage that will later evolve into an ossification center, articular cartilage, and epiphyseal cartilage. Cytosol fractions contained a receptor for glucocorticoid but not for androgen or estrogen. Zonal analysis showed a higher level in the peripheral and central sections than in the palisade section. Triiodothyronine binding was also detected in nuclei prepared from whole fetal cartilage. Heterogeneity of cell function was obvious in fetal cartilage. Cell division was high in the central and peripheral zones as well as the upper half of the palisade zone, but low in the lower palisade section. Proline and sulfate incorporation predominated in the palisade section compared with the central and peripheral sections. Disease states with changes of metabolic activities in the cartilage may perhaps be better understood with a clearer knowledge of receptor levels and interactions.

Relationship between human T cell functional heterogeneity and human T cell surface molecules.

Our knowledge of human T cell differentiation and function has expotentially increased during recent years. With this growth in knowledge there has been an increase in our appreciation of the complexity of the T-T interactions which initiate and control immune responses. A great deal remains to be learned concerning the mechanisms of these complex cellular interactions. In particular, it will be important to precisely understand the clear heterogeneity of functions within isolated subsets of OKT4+ and OKT8+ T cells. Perhaps, as importantly, it will be necessary to define more clearly the functions of the T4 and T8 molecules as well as the precise function of the other defined glycoproteins on the T cell surface. The evidence is clearly emerging that many of those molecules are not solely markers of unique functional subsets and are intimately involved in the functions of T cells.