Drivers Of Differentiation Research Articles

High connectivity among Vesicomyid bivalves from cold seeps and deep-sea fans of Congo

Chemosynthetic ecosystems are scattered in the deep ocean, harbouring highly specialized communities, among which the degree of connectivity and dispersal is scarcely studied. This gap is largely due to limited range distribution, either real or due to highly partial exploration, preventing the availability of a sufficient number of samples for population genetic analysis. For the few species that escaped this gap, large-scale panmixia was often reported, raising wonders as to the evolutionary mechanisms involved in the first steps of speciation. Vesicomyid bivalves are one of the most abundant groups of chemosynthetic fauna, for which depth was proposed as an essential driver of differentiation. Early stages of speciation are thus expected to involve genetic differentiation along depth gradients. The vesicomyid bivalve Christineconcha regab was studied across widely separated localities along the Western African margin, from the cold-seeps of Regab pockmarks located at 3150 m depth on the Congo margin to the turbiditic lobes of the Congo deep-sea fan located at 5000 m depth, using mitochondrial (COI) sequences and eight microsatellite loci. Despite rather high density in relation to high organic matter availability, results obtained showed rather low levels of genetic diversity at both mtDNA and microsatellites. The main consistent pattern of differentiation was observed across depths from Regab pockmark (South-Western part) and lobe areas (Lobe B and C). This is likely due to the largest sample sizes characterizing Regab_SW and Lobe C allowing the detection of faint genetic differentiation, and possibly to a stronger signature in the demographically declining (thus acknowledgedly under sampled) Lobe B. Other significant results were not congruent among markers, suggesting low statistical power due to limited sample size or the occurrence of chaotic genetic patchiness. Altogether, the results suggest the occurrence of effective gene flow at regional scale, and departure from equilibrium in the recently discovered lobes of the Congo River, possibly resulting from unstable environmental conditions and recurrent events of extinction recolonization.

Ecological inducers of the yeast filamentous growth pathway reveal environment-dependent roles for pathway components.

Signaling modules, such as mitogen-activated protein kinase (MAPK) pathways, are evolutionarily conserved drivers of cell differentiation and stress responses. In many fungal species including pathogens, MAPK pathways control filamentous growth, where cells differentiate into an elongated cell type. The convenient model budding yeast Saccharomyces cerevisiae undergoes filamentous growth by the filamentous growth (fMAPK) pathway; however, the inducers of the pathway remain unclear, perhaps because pathway activity has been mainly studied in laboratory conditions. To address this knowledge gap, an ecological framework was used, which uncovered new fMAPK pathway inducers, including pectin, a material found in plants, and the metabolic byproduct ethanol. We also show that induction by a known inducer of the pathway, the non-preferred carbon source galactose, required galactose metabolism and induced the pathway differently than glucose limitation or other non-preferred carbon sources. By exploring fMAPK pathway function in fruit, we found that induction of the pathway led to visible digestion of fruit rind through a known target, PGU1, which encodes a pectolytic enzyme. Combinations of inducers (galactose and ethanol) stimulated the pathway to near-maximal levels, which showed dispensability of several fMAPK pathway components (e.g., mucin sensor, p21-activated kinase), but not others (e.g., adaptor, MAPKKK) and required the Ras2-protein kinase A pathway. This included a difference between the transcription factor binding partners for the pathway, as Tec1p, but not Ste12p, was partly dispensable for fMAPK pathway activity. Thus, by exploring ecologically relevant stimuli, new modes of MAPK pathway signaling were uncovered, perhaps revealing how a pathway can respond differently to specific environments. IMPORTANCE Filamentous growth is a cell differentiation response and important aspect of fungal biology. In plant and animal fungal pathogens, filamentous growth contributes to virulence. One signaling pathway that regulates filamentous growth is an evolutionarily conserved MAPK pathway. The yeast Saccharomyces cerevisiae is a convenient model to study MAPK-dependent regulation of filamentous growth, although the inducers of the pathway are not clear. Here, we exposed yeast cells to ecologically relevant compounds (e.g., plant compounds), which identified new inducers of the MAPK pathway. In combination, the inducers activated the pathway to near-maximal levels but did not cause detrimental phenotypes associated with previously identified hyperactive alleles. This context allowed us to identify conditional bypass for multiple pathway components. Thus, near-maximal induction of a MAPK pathway by ecologically relevant inducers provides a powerful tool to assess cellular signaling during a fungal differentiation response.

M6A RNA MODIfiCATION AND A DRIVER OF CELLULAR PLASTICITY AND INTRA-TUMOURAL HETEROGENEITY IN GLIOBLASTOMA

Abstract AIMS The immense cellular plasticity of glioblastoma is a barrier to successful therapy. N6-methyladenosine (m6A) methylation of RNA is increasingly recognised as a key driver of cellular differentiation. Crucially, it is a reversible and dynamic modification that alters cellular phenotype via the regulation of mRNA metabolism. We hypothesise that m6A methylation mediates glioblastoma plasticity, regulating transcriptional networks and thus influencing cellular adaptation under different microenvironmental conditions. Our aims are to assess whether total m6A levels and m6A-regulatory gene expression are responsive to change in oxygenation levels and cellular confluency. Furthermore, we aim to characterise the spatial distribution of m6A in 3D cell culture models. METHOD We have investigated m6A levels in patient-derived cell lines from the invasive region of adult glioblastoma. Mass spectrometry and anti-m6A immunofluorescence confocal microscopy was used to quantify total m6A levels. We have compared total m6A levels in normoxic versus hypoxic culture conditions and in low versus high confluency 2D cell culture, including cell migration during a scratch assay. We have measured expression levels of key m6A-regulatory genes using rtPCR. RESULTS Total m6A levels and regulatory gene expression were not significantly different in normoxic versus hypoxic conditions. However, m6A levels were decreased in high confluency versus low confluency conditions. We will further characterise the spatial distribution of m6A in 3D cell culture models using immunofluorescence confocal microscopy. CONCLUSIONS We demonstrate a degree of variability in m6A levels in response to micro-environmental conditions, such as cellular confluency. These findings indicate a role for m6A in tumoral heterogeneity and cellular adaptation.

Let-7 enhances murine anti-tumor CD8 T cell responses by promoting memory and antagonizing terminal differentiation

The success of the CD8 T cell-mediated immune response against infections and tumors depends on the formation of a long-lived memory pool, and the protection of effector cells from exhaustion. The advent of checkpoint blockade therapy has significantly improved anti-tumor therapeutic outcomes by reversing CD8 T cell exhaustion, but fails to generate effector cells with memory potential. Here, using in vivo mouse models, we show that let-7 miRNAs determine CD8 T cell fate, where maintenance of let-7 expression during early cell activation results in memory CD8 T cell formation and tumor clearance. Conversely, let-7-deficiency promotes the generation of a terminal effector population that becomes vulnerable to exhaustion and cell death in immunosuppressive environments and fails to reject tumors. Mechanistically, let-7 restrains metabolic changes that occur during T cell activation through the inhibition of the PI3K/AKT/mTOR signaling pathway and production of reactive oxygen species, potent drivers of terminal differentiation and exhaustion. Thus, our results reveal a role for let-7 in the time-sensitive support of memory formation and the protection of effector cells from exhaustion. Overall, our data suggest a strategy in developing next-generation immunotherapies by preserving the multipotency of effector cells rather than enhancing the efficacy of differentiation.

Substrate mechanical properties bias MSC paracrine activity and therapeutic potential.

Mesenchymal stromal cells (MSCs) have significant therapeutic potential due to their ability to differentiate into musculoskeletal lineages suitable for tissue-engineering, as well as the immunomodulatory and pro-regenerative effects of the paracrine factors that these cells secrete. Cues from the extracellular environment, including physical stimuli such as substrate stiffness, are strong drivers of MSC differentiation, but their effects upon MSC paracrine activity are not well understood. This study, therefore sought to determine the impact of substrate stiffness on the paracrine activity of MSCs, analysing both effects on MSC fate and their effect on T-cell and macrophage activity and angiogenesis. The data show that conditioned medium (CM) from MSCs cultured on 0.2 kPa (soft) and 100 kPa (stiff) polyacrylamide hydrogels have differing effects on MSC proliferation and differentiation, with stiff CM promoting proliferation whilst soft CM promoted differentiation. There were also differences in the effects upon macrophage phagocytosis and angiogenesis, with the most beneficial effects from soft CM. Analysis of the media composition identified differences in the levels of proteins including IL-6, OPG, and TIMP-2. Using recombinant proteins and blocking antibodies, we confirmed a role for OPG in modulating MSC proliferation with a complex combination of factors involved in the regulation of MSC differentiation. Together the data confirm that the physical microenvironment has an important influence on the MSC secretome and that this can alter the differentiation and regenerative potential of the cells. These findings can be used to tailor the culture environment for manufacturing potent MSCs for specific clinical applications or to inform the design of biomaterials that enable the retention of MSC activity after delivery into the body. STATEMENT OF SIGNIFICANCE: • MSCs cultured on 100 kPa matrices produce a secretome that boosts MSC proliferation • MSCs cultured on 0.2 kPa matrices produce a secretome that promotes MSC osteogenesis and adipogenesis, as well as angiogenesis and macrophage phagocytosis • IL-6 secretion is elevated in MSCs on 0.2 kPa substrates • OPG, TIMP-2, MCP-1, and sTNFR1 secretion are elevated in MSCs on 100 kPa substrates.

Performance of DNA barcodes for informing the subspecies controversy in North American populations of Callophrys gryneus (Hübner, [1819]) (Lepidoptera: Lycaenidae)

Abstract Analysis of genetic divergence in published mitochondrial DNA barcodes from ‘juniper’ and ‘cedar’ hairstreaks, Callophrys gryneus (Hübner) and Callophrys muiri (Hy. Edwards), together with a comparison of phenotypic differences in populations from North America, have been used to address the long-standing controversy regarding subspecies and species assignments in this confusing group of hairstreaks. The most recent view holds that C. gryneus is a single polytypic species comprising 11 nominal subspecies and that C. muiri from California is a valid species. An alternative view subdivides C. gryneus into three nominal species, C. gryneus (s.s.), Callophrys siva and Callophrys nelsoni, each with several named subspecies, and retains C. muiri as a full species. Haplotype networks, phylogenetic analysis and analysis of molecular variance of barcodes provided evidence supporting the subspecies scenario. However, barcodes from closely related congeners of C. gryneus (s.l.) revealed pairwise genetic divergences that would also support elevating three subspecies (C. g. castalis, C. g. siva and C. g. nelsoni) to full species. The barcode data also raise the question of whether C. muiri warrants full species status. Larval host plant preference as a possible driver of genetic differentiation in western populations of this group is also discussed briefly.

BASP1 down-regulates RANKL-induced osteoclastogenesis

The cytokine RANKL (Receptor Activator of NFκB Ligand) is the key driver of differentiation of monocytes/macrophages to form multi-nucleated, bone-resorbing osteoclasts, a process that is accompanied by significant changes in gene expression. We show that exposure to RANKL rapidly down-regulates expression of Brain Acid Soluble Protein 1 (BASP1) in cultured primary mouse bone marrow macrophages (BMMs), and that this reduced expression is causally linked to the osteoclastogenic process in vitro. Knocking down BASP1 expression in BMMs or eliminating its expression in these cells or in RAW 264.7 cells enhanced RANKL-induced osteoclastogenesis, promoted cell-cell fusion, and generated cultures containing larger osteoclasts with increased mineral degrading abilities relative to controls. Expression of exogenous BASP1 in BMMs undergoing osteoclastogenic differentiation produced the opposite effects. Upon exposure to RANKL, primary mouse BMMs in which BASP1 had been knocked down exhibited increased expression of the key osteoclastogenic transcription factor Nfatc1and of its downstream target genes Dc-stamp, Ctsk, Itgb3, and Mmp9 relative to controls. The knock-down cells also exhibited increased sensitivity to the pro-osteoclastogenic effects of RANKL. We conclude that BASP1 is a negative regulator of RANKL-induced osteoclastogenesis, which down-regulates the pro-osteoclastogenic gene expression pattern induced by this cytokine. Decreased expression of BASP1 upon exposure of BMMs to RANKL removes a negative regulator of osteoclastogenesis and promotes this process.

MiR-203 drives breast cancer cell differentiation

A hallmark of many malignant tumors is dedifferentiated (immature) cells bearing slight or no resemblance to the normal cells from which the cancer originated. Tumor dedifferentiated cells exhibit a higher capacity to survive to chemo and radiotherapies and have the ability to incite tumor relapse. Inducing cancer cell differentiation would abolish their self-renewal and invasive capacity and could be combined with the current standard of care, especially in poorly differentiated and aggressive tumors (with worst prognosis). However, differentiation therapy is still in its early stages and the intrinsic complexity of solid tumor heterogeneity demands innovative approaches in order to be efficiently translated into the clinic. We demonstrate here that microRNA 203, a potent driver of differentiation in pluripotent stem cells (ESCs and iPSCs), promotes the differentiation of mammary gland tumor cells. Combining mouse in vivo approaches and both mouse and human-derived tridimensional organoid cultures, we report that miR-203 influences the self-renewal capacity, plasticity and differentiation potential of breast cancer cells and prevents tumor cell growth in vivo. Our work sheds light on differentiation-based antitumor therapies and offers miR-203 as a promising tool for directly confronting the tumor-maintaining and regeneration capability of cancer cells.

Spatiotemporal Evolution Characteristics and Driving Factors of Water Conservation Service in Jiangxi Province from 2001 to 2020

Water conservation services are key indicators of ecological services. Against the backdrop of frequent extreme weather events and water scarcity caused by global climate change and intensified human activities, assessing these services and their drivers are crucial tasks for regional ecological security and sustainable development. Jiangxi Province is one of the first national ecological civilization pilot zones in China, representing an important ecological barrier in southern China. Exploring the characteristics of spatial and temporal changes in water conservation and their driving factors can facilitate the rational development and utilization of regional water resources and the construction of ecological civilizations. Therefore, based on long time series data, the InVEST model was used to explore the spatiotemporal evolution characteristics of water conservation services, and to elucidate the trend of their change through the Theil–Sen median trend analysis and the Mann–Kendall test; then, the geographic detector and geographically weighted regression model were used to further analyze the drivers of spatial variability of water conservation services. The results showed the following: (1) The average depth of water conservation was 103.18 mm, showing a spatial pattern of “low in the middle, high in the surroundings, high in the north and low in the south”. (2) Slight improvements were primarily observed (77.49%), with only 1.60% of the area showing significant improvements. (3) Land use was the main driver of the spatial differentiation, and the interaction between precipitation and forestland had a significantly greater effect on spatial heterogeneity than any single factor. (4) Obvious spatial heterogeneity occurred in the driving factor impacts, with natural factors (precipitation, evapotranspiration, forestland, and grassland) having a positive impact on water conservation services, and land-use factors (construction land and cropland) and socioeconomic factors (population density and land area) having a negative effect. This study provides a reference for water-conservation-based ecosystem construction and policy formulation in Jiangxi Province.

Genetic drift versus natural selection affecting the evolution of spectral and functional traits of two key macrophytes: Phragmites australis and Nuphar lutea

Abstract Both genetic and phenotypic intraspecific diversity play a crucial role in the ecological and evolutionary dynamics of organisms. Several studies have compared phenotypic divergence (Pst) and differentiation of neutral loci (Fst) to infer the relative roles of genetic drift and natural selection in population differentiation (Pst–Fst comparison). For the first time, we have assessed and compared the genetic variation and differentiation at the leaf trait level in two key macrophytes, Phragmites australis and Nuphar lutea. To this aim, we quantified and described the genetic structure and phenotypic diversity of both species in five lake systems in north‐central Italy. We then investigated the relative roles of genetic drift and natural selection on leaf trait differentiation (Pst–Fst), assuming that Fst reflects divergence caused only by genetic drift while Pst also incorporates the effects of selective dynamics on the phenotype. In terms of genetic structure, the results for P. australis were in line with those observed for other Italian and European conspecific populations. Conversely, N. lutea showed a more complex genetic structure than expected at the site level, probably due to the combined effect of genetic isolation and its mixed mating system. Both species exhibited high variability in leaf functional traits within and among sites, highlighting a high degree of phenotypic plasticity. Pst–Fst comparisons showed a general tendency towards directional selection in P. australis and a more complex pattern in N. lutea. Indeed, the drivers of phenotypic differentiation in N. lutea showed a variable mix of stabilising and directional selection or neutral divergence at most sites. The prevalence of vegetative over generative reproduction leads P. australis populations to be dominated by a few clones that are well adapted to local conditions, including phenotypes that respond plastically to the environment. In contrast, in N. lutea, the interaction of a mixed mating system and geographical isolation among distant sites tends to reduce the effect of outbreeding depression and provides the genetic basis for adaptive capacity. The first joint analysis of the genetic structure of these two key macrophytes allowed a better understanding of the relative roles of genetic drift and natural selection in the diversification of phenotypic traits within habitats dominated by P. australis and N. lutea.

PU.1 is required to restrain myelopoiesis during chronic inflammatory stress.

Chronic inflammation is a common feature of aging and numerous diseases such as diabetes, obesity, and autoimmune syndromes and has been linked to the development of hematological malignancy. Blood-forming hematopoietic stem cells (HSC) can contribute to these diseases via the production of tissue-damaging myeloid cells and/or the acquisition of mutations in epigenetic and transcriptional regulators that initiate evolution toward leukemogenesis. We previously showed that the myeloid "master regulator" transcription factor PU.1 is robustly induced in HSC by pro-inflammatory cytokines such as interleukin (IL)-1β and limits their proliferative activity. Here, we used a PU.1-deficient mouse model to investigate the broader role of PU.1 in regulating hematopoietic activity in response to chronic inflammatory challenges. We found that PU.1 is critical in restraining inflammatory myelopoiesis via suppression of cell cycle and self-renewal gene programs in myeloid-biased multipotent progenitor (MPP) cells. Our data show that while PU.1 functions as a key driver of myeloid differentiation, it plays an equally critical role in tailoring hematopoietic responses to inflammatory stimuli while limiting expansion and self-renewal gene expression in MPPs. These data identify PU.1 as a key regulator of "emergency" myelopoiesis relevant to inflammatory disease and leukemogenesis.

Spatial Transcriptomics of Intraductal Papillary Mucinous Neoplasms of the Pancreas Identifies NKX6-2 as a Driver of Gastric Differentiation and Indolent Biological Potential.

Identification of the molecular features driving IPMN development and differentiation is critical to prevent cancer progression and enhance risk stratification. We used spatial profiling to characterize the epithelium and microenvironment of IPMN, which revealed a previously unknown link between NKX6-2 and gastric differentiation, the latter associated with indolent biological potential. See related commentary by Ben-Shmuel and Scherz-Shouval, p. 1768. This article is highlighted in the In This Issue feature, p. 1749.

Axes of heterogeneity in human tissue-resident memory T cells.

Tissue-resident memory T cells (TRM) represent a dedicated layer of localized immune memory in virtually every organ throughout the human body. By virtue of their long-term residence in disparate tissues, TRM are shaped by a myriad of site-specific influences and exhibit remarkable heterogeneity in form and function. Here, we review the major axes by which TRM vary, including their surface phenotypes, transcriptional programming, and the tissue-specific adaptations that accrue over their tenancy. We discuss how localization within distinct anatomic niches both within and across major organ systems shapes TRM identity and examine mechanisms and prevailing models for TRM generation. Understanding the drivers of differentiation, function and maintenance of the various subpopulations that together define the TRM lineage may hold the key to unlocking the full potential of TRM to promote localized and protective tissue immunity throughout the body.

Identification of immune-related genes and patient selection for hepatocellular carcinoma immunotherapy.

Hepatocellular carcinoma (HCC) is a malignant disease with a poor prognosis. Among the treatment strategies for HCC, tumor immunotherapy (TIT) is a promising research hotspot, in which identifying novel immune-related biomarkers and selecting suitable patient population are urgent issues to be solved. In this study, an abnormal expression map of HCC cell genes was constructed using public high-throughput data from 7,384 samples (3,941 HCC vs. 3,443 non-HCC tissues). Through single-cell RNA sequencing (scRNA-seq) cell trajectory analysis, the genes defined as potential drivers of HCC cell differentiation and development were selected. By screening for both immune-related genes and those associated with high differentiation potential in HCC cell development, a series of target genes were identified. Coexpression analysis was performed using Multiscale Embedded Gene Co-expression Network Analysis (MEGENA) to find the specific candidate genes involved in similar biological processes. Subsequently, nonnegative matrix factorization (NMF) was conducted to select patients suitable for HCC immunotherapy based on the coexpression network of candidate genes. HSP90AA1, CDK4, HSPA8, HSPH1, and HSPA5 were identified as promising biomarkers for prognosis prediction and immunotherapy of HCC. Through the use of our molecular classification system, which was based on a function module containing 5 candidate genes, patients with specific characteristics were found to be suitable candidates for TIT. These findings provide new insights into the selection of candidate biomarkers and patient populations for future HCC immunotherapy.

PI3Kδ: a key driver of effector differentiation under conditions of T cell exhaustion

Abstract In chronic infection and cancer, prolonged antigen exposure drives a state of T cell hyporesponsiveness, called exhaustion. A small subset of TCF1 +progenitor exhausted stem-like T cells (pTex) cells, is required to maintain exhausted T (Tex) cells and respond to checkpoint blockade. Understanding mechanisms regulating these populations may help identify approaches to counter exhaustion. Phosphatidylinositol 3-kinase-d (PI3Kd) is an important component of T cell signaling. We have found that TCF-1 is repressed in CD8 +T cells from patients with Activated PI3K Delta Syndrome and in a mouse model (Pik3cd E1020K/+mice) in acute viral infections. How activated-PI3Kδ affects T cell exhaustion is unknown. Using chronic LCMV clone 13 infection, we found that Pik3cd E1020K/+mice rapidly die, yet surviving mice recover faster than WT. RNA sequencing revealed decreased expression of Tcf7, encoding TCF-1, in antigen-specific CD8 +T cells, along with loss of TCF-1 +Tim3 −CD8 +pTex cells in Pik3cd E1020K/+mice upon cl13 infection. Tex cells that were maintained during chronic infection in Pik3cd E1020K/+mice displayed an effector-like phenotype, with expression of CX3CR1 +and KLRG1 +, and increased effector functions, suggesting that these cells might induce early immunopathology yet increase viral clearance. P14 cell transfers, in conjunction with CRISPR-mediated gene disruption, revealed that loss of FoxO1 leads to loss of TCF-1 +cells, whereas the increase of effector cells is at least partially cell-extrinsic. Our findings suggest that PI3Kδ is a critical rheostat that balances effector vs exhaustion differentiation, providing insight for therapeutic strategies for exhaustion.

Sensitization of Tumor Cells to IFNy-Mediated Cell Death

Abstract There is increasing evidence that immunotherapies make tumor cells more vulnerable to the host’s own immune system that can lead to long-term and durable remission. To date, only a small percentage of cancer patients have benefited from this approach and advances in this field will likely come from a greater understanding of the interaction between immune cells and their tumor targets. T cells are critical to a successful anti-tumor response due to their ability to directly lyse tumor cells by releasing cytolytic granules, and to produce inflammatory cytokines, such as interferon gamma (IFNγ). IFNγ has several functions in an anti-tumor response. On the immune cell side, IFNγ is a major driver of Th1 differentiation that leads to the activation of T cells and NK cells. On the tumor side, IFNγ can enhance MHC class I presentation but also inhibitory receptors such as PD-1. However, it is not as clear whether IFNγ is directly cytotoxic for tumor cells. If that is the case, it is also likely that due to selection pressure exerted by T cells, tumor cells may have acquired mechanisms to protect themselves against this possibility. Thus, I hypothesized that tumor cells are normally resistant to killing by IFNγ but can be sensitized if the death protection mechanisms are disabled. In preliminary studies using the B16F1 murine melanoma model, we found that while wild-type (WT) melanoma cells were completely resistant, tumor cells with knockouts of two kinases (DKO) became highly sensitized to IFNγ-mediated apoptotic death. Furthermore, the DKO tumors were also more easily killed by T cells in an IFNγ-dependent manner. These findings will provide insight into potential targets for therapeutic intervention to enhance immune-mediated destruction of tumors.

Biotic homogenisation and differentiation as directional change in beta diversity: synthesising driver-response relationships to develop conceptual models across ecosystems.

Biotic homogenisation is defined as decreasing dissimilarity among ecological assemblages sampled within a given spatial area over time. Biotic differentiation, in turn, is defined as increasing dissimilarity over time. Overall, changes in the spatial dissimilarities among assemblages (termed 'beta diversity') is an increasingly recognised feature of broader biodiversity change in the Anthropocene. Empirical evidence of biotic homogenisation and biotic differentiation remains scattered across different ecosystems. Most meta-analyses quantify the prevalence and direction of change in beta diversity, rather than attempting to identify underlying ecological drivers of such changes. By conceptualising the mechanisms that contribute to decreasing or increasing dissimilarity in the composition of ecological assemblages across space, environmental managers and conservation practitioners can make informed decisions about what interventions may be required to sustain biodiversity and can predict potential biodiversity outcomes of future disturbances. We systematically reviewed and synthesised published empirical evidence for ecological drivers of biotic homogenisation and differentiation across terrestrial, marine, and freshwater realms to derive conceptual models that explain changes in spatial beta diversity. We pursued five key themes in our review: (i) temporal environmental change; (ii) disturbance regime; (iii) connectivity alteration and species redistribution; (iv) habitat change; and (v) biotic and trophic interactions. Our first conceptual model highlights how biotic homogenisation and differentiation can occur as a function of changes in local (alpha) diversity or regional (gamma) diversity, independently of species invasions and losses due to changes in species occurrence among assemblages. Second, the direction and magnitude of change in beta diversity depends on the interaction between spatial variation (patchiness) and temporal variation (synchronicity) of disturbance events. Third, in the context of connectivity and species redistribution, divergent beta diversity outcomes occur as different species have different dispersal characteristics, and the magnitude of beta diversity change associated with species invasions also depends strongly on alpha and gamma diversity prior to species invasion. Fourth, beta diversity is positively linked with spatial environmental variability, such that biotic homogenisation and differentiation occur when environmental heterogeneity decreases or increases, respectively. Fifth, species interactions can influence beta diversity via habitat modification, disease, consumption (trophic dynamics), competition, and by altering ecosystem productivity. Our synthesis highlights the multitude of mechanisms that cause assemblages to be more or less spatially similar in composition (taxonomically, functionally, phylogenetically) through time. We consider that future studies should aim to enhance our collective understanding of ecological systems by clarifying the underlying mechanisms driving homogenisation or differentiation, rather than focusing only on reporting the prevalence and direction of change in beta diversity, per se.

Maturity Analysis of Stock Exchanges in Africa: Prepandemic Sustainability Perspective

This paper focuses on the economic dimension of sustainability by examining the stock exchange interface of financial markets, the influence of capital market stakeholders, and the instruments that contribute to a supportive fiscal framework. Only mature stock exchanges are present in sustainability indices; hence, comparative assessment of stock exchanges is limited and contributes to the complexity of conducting such a study. Utilizing multivariate analysis, this study investigates the potential for African stock exchanges to support sustainability. An empirical study was conducted on a selected sample of 15 African stock exchanges at the end of 2020 using collected 5-year interval data from Q1 of 2021. A total of 22 variables were selected based on their legitimacy to support sustainability. Using exploratory factor analysis, two key sustainability drivers of differentiation and classified exchanges were identified, i.e., hard and soft. K-means classification method verified the results and found that of the four identified homogeneous groups, one—the Johannesburg Stock Exchange, Nigerian Stock Exchange, and the Egyptian Exchange—emerged on top. Two smaller groups had the potential to be strengthened, and the majority group lagged behind. The research demonstrated the importance of identifying key sustainability drivers and examined the materiality of the drivers within an African context.

Abstract 3915: RNAseq analysis reveals differentiation gene drivers as potential therapeutic targets in anaplastic thyroid cancer

Abstract Papillary thyroid cancer (PTC) is a well-differentiated and highly treatable cancer with a 5-year survival rate of almost 99%. In contrast, anaplastic thyroid cancer (ATC) lacks differentiation and loses its thyroid-like functions, including lack of response to radioiodine therapy. Due to ATC’s aggressive metastatic phenotype, it is always diagnosed as stage IV with a 5 year survival rate of less than 3%. ATC lacks targetable genetic lesions making it a difficult cancer to treat, therefore RNAseq analysis was performed in an effort to investigate the differentially expressed genes between ATC to PTC. Exploration of differential gene expression between ATC and PTC was undertaken to further elucidate the differences in expression that drive the aggressive nature of ATC phenotype. RNA was isolated from human thyroid cancer cell lines T238 (ATC) and K1 (PTC) and RNA sequencing was conducted by Azenta Life Sciences. Our analysis resulted in 4,931 significant differentially expressed genes between ATC and PTC. Looking at the gene ontology analysis, pathways involving cell differentiation, proliferation, and migration revealed 90, 70, and 47 genes differentially expressed in ATC vs PTC respectively. These pathways putatively give rise to ATC’s aggressive phenotype when compared to PTC, therefore, we narrowed down the focus from 4,931 genes to 207. Through RNAseq analysis, Homeobox D4 (HOXD4) was observed to significantly increase in ATC (7.69 log2 fold change) compared to PTC. HOXD4 is a transcription factor that plays a crucial role in cell differentiation and has been associated with a worse prognosis in cancers such as ovarian serous carcinoma. As loss of differentiation is essential to ATC’s refractory nature and therapeutic resistance, targeting pathways involved in differentiation can be crucial in making ATC amenable to therapy. Other differentiation regulatory genes identified include BLK and LAMA5. BLK (3.95 log2 fold change) is a Src family tyrosine kinase proto-oncogene that is not only involved in cell proliferation but also differentiation. LAMA5 (4.76 log2 fold change) is an extracellular glycoprotein that has been linked to differentiation, migration and metastasis. Validation of the RNAseq results was completed via western blot analysis of multiple ATC and PTC cells lines. We found that HOXD4 expression was higher in ATC cell lines T238, 8505C, and SW1736 than PTC cell lines K1, TPC1, and BCPAP. Further validation was carried out by immunohistochemistry of human thyroid tissue. Preliminary IHC on ATC, PTC, and normal thyroid patient samples showed ATC has significantly increased HOXD4 expression (27.5%) compared to PTC (8.7%) and normal thyroid tissue (2.3%). Ongoing studies in the laboratory to identify novel genetic drivers of cell differentiation and proliferation so as to discover a therapeutic target to fulfill an unmet clinical need is underway. Citation Format: Kaci Kopec, Tara Jarboe, Michael Guo, Nicole R. DeSouza, Sarnath Singh, Augustine Moscatello, Humayun K. Islam, Jan Geliebter, Raj K. Tiwari. RNAseq analysis reveals differentiation gene drivers as potential therapeutic targets in anaplastic thyroid cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3915.

IgSF11-mediated phosphorylation of pyruvate kinase M2 regulates osteoclast differentiation and prevents pathological bone loss

Osteoclasts are primary bone-resorbing cells, and receptor-activated NF-kB ligand (RANKL) stimulation is the key driver of osteoclast differentiation. During late-stage differentiation, osteoclasts become multinucleated and enlarged (so-called “maturation”), suggesting their need to adapt to changing metabolic demands and a substantial increase in size. Here, we demonstrate that immunoglobulin superfamily 11 (IgSF11), which is required for osteoclast differentiation through an association with the postsynaptic scaffolding protein PSD-95, regulates osteoclast differentiation by controlling the activity of pyruvate kinase M isoform 2 (PKM2). By using a system that directly induces the activation of IgSF11 in a controlled manner, we identified PKM2 as a major IgSF11-induced tyrosine-phosphorylated protein. IgSF11 activates multiple Src family tyrosine kinases (SFKs), including c-Src, Fyn, and HcK, which phosphorylate PKM2 and thereby inhibit PKM2 activity. Consistently, IgSF11-deficient cells show higher PKM2 activity and defective osteoclast differentiation. Furthermore, inhibiting PKM2 activities with the specific inhibitor Shikonin rescues the impaired osteoclast differentiation in IgSF11-deficient cells, and activating PKM2 with the specific activator TEPP46 suppresses osteoclast differentiation in wild-type cells. Moreover, PKM2 activation further suppresses osteoclastic bone loss without affecting bone formation in vivo. Taken together, these results show that IgSF11 controls osteoclast differentiation through PKM2 activity, which is a metabolic switch necessary for optimal osteoclast maturation.