Explore the vast range of titles available.

Decisively delineating cell identities from uni- and multimodal single-cell datasets is complicated by diverse modalities, clustering methods, and reference atlases. We describe scTriangulate, a computational framework to mix-and-match multiple clustering results, modalities, associated algorithms, and resolutions to achieve an optimal solution. Rather than ensemble approaches which select the “consensus”, scTriangulate picks the most stable solution through coalitional iteration. When evaluated on diverse multimodal technologies, scTriangulate outperforms alternative approaches to identify high-confidence cell-populations and modality-specific subtypes. Unlike existing integration strategies that rely on modality-specific joint embedding or geometric graphs, scTriangulate makes no assumption about the distributions of raw underlying values. As a result, this approach can solve unprecedented integration challenges, including the ability to automate reference cell-atlas construction, resolve clonal architecture within molecularly defined cell-populations and subdivide clusters to discover splicing-defined disease subtypes. scTriangulate is a flexible strategy for unified integration of single-cell or multimodal clustering solutions, from nearly unlimited sources. Single-cell genomics has expanded to measure diverse molecular modalities within the same cell. Here the authors provide a computational framework called scTriangulate to integrate cluster annotations from diverse independent sources, algorithms, and modalities to define statistically stable populations.

Purpose Public relations practitioners worldwide are attempting to enhance the overall organization–stakeholder relationships by applying strategic communication techniques and skills to corporate social responsibility (CSR) management and communications. In this light, drawing on the prosocial motivation literature, this paper aims to investigate consumers’ implicit and explicit motivations for prosocial behavior, and how these two motivations interact to affect consumers’ willingness to contribute to CSR activities. Second, through the lens of sensemaking theory, this study evaluates the influence of successful prosocial behavior engagement on consumers’ perceptions of both self and companies’ prosocial identities, CSR authenticity and company evaluations. Design/methodology/approach This study adopts a dictator game experiment with 2 × 2 factorial design to gauge consumers’ prosocial behavioral response toward companies’ CSR communication with implicit and explicit motivations and to examine its effect on company evaluation. Findings In all, the results of this study suggest that implicit motivation, i.e. self-affirmation intervention, in CSR communication will cause consumers to donate more money to CSR programs; whereas explicit motivation does not exert an effect on consumers’ prosocial behavior. In addition, such donation will trigger consumers’ prosocial sensemaking process and lead to strong identification with the company, positive attitudes and behavioral intentions toward the company. Originality/value This study aims to build a consumer- and social cause-oriented CSR communication model, which maximizes the impact of CSR investments on consumer relationship building, business bottom line and social causes.

Purpose This study aims to crystallize the research landscape of corporate social responsibility (CSR) authenticity by systematically analyzing CSR scholarships published in peer-reviewed journals from 2007 to 2021. Design/methodology/approach Quantitative content analysis was used to systematically analyze 52 peer-reviewed articles on CSR authenticity. In particular, this study coded the conceptualizations and operationalizations of CSR authenticity, research contexts, applied theoretical frameworks and constructs associated with authenticity in the CSR scholarships. Findings This study’s analysis revealed that CSR authenticity is a multifaceted and multidimensional concept researched in various contexts. Yet, it still lacks clear and consistent conceptualization and theorization. Methodologically, qualitative and quantitative methods have equally contributed to the investigation of CSR authenticity. However, scale development and validation still need to improve. Research limitations/implications The sample of this research is limited by the searching method and language restriction. This research contributes to CSR scholarships by describing the growing landscape of CSR authenticity research, identifying key research gaps and offering suggestions for future research. Practical implications Practitioners can use the findings as references to develop more authentic CSR activities. Originality/value This study is an early attempt to examine the research on CSR authenticity, which has been inconclusive and disorganized, despite the rapid growth of publications in recent years.

Unlike Western corporations, Chinese companies have yet to widely adopt corporate social advocacy (CSA) as a proactive strategy for corporate communication due to the different cultures and business environments. With only a handful of Chinese companies committing to CSA communication, the consequences of such practice on consumer relationship building and maintenance remain elusive. In light of expectancy violations theory (EVT), this study explores Chinese consumers’ expectations of domestic CSA on the issue of same-sex marriage and the effects of proactive corporate social advocacy communication. Through structure equation modeling of 418 survey responses, this study examines the relationship between the violation of Chinese consumers’ expectations of CSA and the quality of consumer relationships through the mediation of violation valence, violation expectedness, and relationship certainty.

PurposeBased on Lasswell’s communication model, this study investigates how four categories of factors (i.e. the source, content, medium and receiver) conjointly affect the relational, financial and social outcomes (i.e. what effect) of CSA communication.Design/methodology/approachWith a survey (N = 366), this study found configurations of core CSA communication factors leading to three different CSA communication outcomes.FindingsWhile this study found multiways to yield three different CSA outcomes, combinational logic indicated the combined effects from source, content, medium and receiver. With content and medium, individuals’ connectedness (receiver) to a CSA issue is a core factor leading to a high level of purchase intention and issue advocacy. This study also found that message strategies (i.e. informativeness, factual tone, no promotional tone) are core factors leading to a high level of trust and issue advocacy.Practical implicationsWith the theoretical guidance, this research contributes to strategic communication practice for various entities involved in advocacy communication by enabling an improved understanding of advocacy communication factors and triggering different communication outcomes.Originality/valueAs CSA communication involves multiple strategies, conventional research agenda focusing on correlational and path analysis approaches provide limited understanding of communication practice. To fill this void, this study adopts a configurational approach to understand current CSA communication practices holistically.

The bone marrow adjusts blood cell production to meet physiological demands in response to insults. The spatial organization of normal and stress responses are unknown owing to the lack of methods to visualize most steps of blood production. Here we develop strategies to image multipotent haematopoiesis, erythropoiesis and lymphopoiesis in mice. We combine these with imaging of myelopoiesis 1 to define the anatomy of normal and stress haematopoiesis. In the steady state, across the skeleton, single stem cells and multipotent progenitors distribute through the marrow enriched near megakaryocytes. Lineage-committed progenitors are recruited to blood vessels, where they contribute to lineage-specific microanatomical structures composed of progenitors and immature cells, which function as the production sites for each major blood lineage. This overall anatomy is resilient to insults, as it was maintained after haemorrhage, systemic bacterial infection and granulocyte colony-stimulating factor (G-CSF) treatment, and during ageing. Production sites enable haematopoietic plasticity as they differentially and selectively modulate their numbers and output in response to insults. We found that stress responses are variable across the skeleton: the tibia and the sternum respond in opposite ways to G-CSF, and the skull does not increase erythropoiesis after haemorrhage. Our studies enable in situ analyses of haematopoiesis, define the anatomy of normal and stress responses, identify discrete microanatomical production sites that confer plasticity to haematopoiesis, and uncover unprecedented heterogeneity of stress responses across the skeleton. This study develops a method for spatially resolving multipotent haematopoiesis, erythropoiesis and lymphopoiesis in mice and uncovers heterogeneous haematopoietic stress responses in different bones.

Analysis of the human hematopoietic progenitor compartment is being transformed by single-cell multimodal approaches. Cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) enables coupled surface protein and transcriptome profiling, thereby revealing genomic programs underlying progenitor states. To perform CITE-seq systematically on primary human bone marrow cells, we used titrations with 266 CITE-seq antibodies (antibody-derived tags) and machine learning to optimize a panel of 132 antibodies. Multimodal analysis resolved >80 stem, progenitor, immune, stromal and transitional cells defined by distinctive surface markers and transcriptomes. This dataset enables flow cytometry solutions for in silico-predicted cell states and identifies dozens of cell surface markers consistently detected across donors spanning race and sex. Finally, aligning annotations from this atlas, we nominate normal marrow equivalents for acute myeloid leukemia stem cell populations that differ in clinical response. This atlas serves as an advanced digital resource for hematopoietic progenitor analyses in human health and disease. In this Resource article, the authors integrate genomic, bioinformatic and flow cytometric data from human bone marrow to provide an atlas of hematopoietic progenitor cell states in health and disease.

Hematopoiesis is a complex and tightly regulated biological system in which the stem cells and progenitors balance between mature lineage outputs and self-renewal. Environmental stimuli, genetic predispositions, and host responses together control and alter underlying transcriptional network. Various animal models and single-cell multi-omics approaches have been developed to unravel the network and mechanisms associated with it. This dissertation characterizes relationship between gut microbiome (environmental stimuli) and host; describes human and murine hematopoietic stem cells and progenitors; and demonstrates methods to incorporate with biological models to derive insightful biological readouts.Microbiome models have informed our understanding of microbiome-dependent metabolites, their role in homeostatic hematopoiesis, and nominated some metabolites as potential therapeutics. However, conclusions about gut microbiota-induced biological functions have been called into question after recent results from metabolite clinical trials and conflicting findings across studies. To systematically evaluate the impact of durably different gut microbiome on homeostatic hematopoiesis, we analyzed three C57BL/6 mouse microbiome models with defined flora, and contrasted with germ-free and standard-pathogen-free C57BL/6 mice. Metagenomics and metabolomics confirmed distinct microbial species present, their relative diversity, and associated changes in physiology and serum metabolites. We find that a minimal microbiome composition restores the majority of metabolites absent in germ-free mice, but community complexity controls metabolite abundance and perturbs metabolite pathways and transcriptional signatures. However, immunophenotyping reveals comparable innate and adaptive immune populations across models. Bone marrow transplant reveals normal homeostatic HSC function, and in vitro assays reveal similar neutrophil innate immune function across models. Thus, defined flora microbiome models clarify the impact of live bacterial signals in controlling homeostatic hematopoietic numbers and function.Advancements in single-cell technologies, like CITE-seq, have enhanced our understanding of blood cell development. However, translating CITE-seq findings to flow cytometry faces challenges. We conducted molecular titration of 266 antibodies on human primary bone marrow cells, identifying 132 relevant antibodies that inform an atlas of 89 clusters, bridging flow cytometry and CITE-seq. We integrated high-dimensional flow cytometry and CITE-seq to evaluate 132 surface markers across donors and technologies, concluding with 39 consistently expressed markers and innovative isolation strategies for neutrophil precursors and megakaryocyte/erythrocyte progenitors.Hematopoietic stem cells (HSCs) are functionally heterogeneous, but molecular drivers of their functionality remain unclear. A gene regulatory network (GRN) centric to HSC quiescence was identified by in vivo activation, and molecular profiles of HSC subsets were compared in two reporter systems to establish hierarchically organized HSC states. Tox, a regulator of T cell development, was found essential for HSC quiescence. Loss of Tox led to worse transplant outcomes and perturbed key TFs regulating HSCs. . Collectively, these synergistic thesis projects nominate new stem and progenitor cell populations, novel isolation and functional characterization strategies and underlying gene regulatory networks in normal and microbiome-impacted hematopoiesis.

PurposeThis study situates in the context of Chipotle's food safety issue and seeks to understand how their primary customers perceive their crisis response messages after learning of the outbreaks. The current study incorporates the framework of situational crisis communication theory (SCCT; Coombs, 2007) and public segmentation model (Rawlins, 2006) to understand the effectiveness of crisis response messages. It aims to examine the role of public segmentation in situational crisis communication and investigate the effects of three crisis response strategies according to SCCT on different public segments.Design/methodology/approachThe SCCT provides guidelines for understanding the effectiveness of different crisis response strategies. The current study showcases the importance of public segmentation in the SCCT model through the lens of stakeholder theory. A 3 (crisis response strategy: deny, diminish, rebuild) × 4 (public segment: advocate, dormant, adversarial, apathetic) factorial experiment was conducted.FindingsThe findings suggest that advocate public expressed more positive evaluation about the company when exposed to rebuild and deny strategies. Both dormant and adversarial stakeholders reported positive responses on rebuild and diminish strategies. However, no difference was found among apathetic public.Originality/valueThe researchers attempt to make a modest contribution in this direction by reporting results from an empirical experiment that examined the effects of crisis response strategies on different public segments. The findings suggest an effective message tailoring approach to target different public segments. Thus, the results of this study are expected to benefit relevant corporations and public relations practitioners.

Advances in genetics and sequencing have identified a plethora of disease-associated and disease-causing genetic alterations. To determine causality between genetics and disease, accurate models for molecular dissection are required; however, the rapid expansion of transcriptional populations identified through single-cell analyses presents a major challenge for accurate comparisons between mutant and wild-type cells. Here we generate mouse models of human severe congenital neutropenia (SCN) using patient-derived mutations in the GFI1 transcription factor. To determine the effects of SCN mutations, we generated single-cell references for granulopoietic genomic states with linked epitopes 1 , aligned mutant cells to their wild-type equivalents and identified differentially expressed genes and epigenetic loci. We find that GFI1-target genes are altered sequentially, as cells go through successive states of differentiation. These insights facilitated the genetic rescue of granulocytic specification but not post-commitment defects in innate immune effector function, and underscore the importance of evaluating the effects of mutations and therapy within each relevant cell state. Mouse models of severe congenital neutropenia using patient-derived mutations in the GFI1 locus are used to determine the mechanisms by which the disease progresses.