Publications by authors named "Baobao Song"

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.

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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.

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The dynamics of the hematopoietic flux responsible for blood cell production in native conditions remains a matter of debate. Using CITE-seq analyses, we uncovered a distinct progenitor population that displays a cell cycle gene signature similar to the one found in quiescent hematopoietic stem cells. We further determined that the CD62L marker can be used to phenotypically enrich this population in the Flt3+ multipotent progenitor (MPP4) compartment.

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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.

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COVID-19 has been spreading fast worldwide, and until effective and safe vaccines have been widely adopted, preventive measures such as social distancing are crucial to keep the pandemic under control. The study's research questions asked which psychosocial factors predict social distancing behavior and whether there are country-level differences in social distancing? Using the Extended Parallel Process Model (EPPM) as a theoretical lens, we examined the predictive effects of threat and efficacy and demographic variables on adherence to the COVID-19 preventive behavior of social distancing using a survey among an international sample of university students. Using path modeling and analysis of covariance, we confirmed the predictive effects of the EPPM on social distancing behavior.

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Understanding the interplay between immune and structural cells is important for studying fibrosis and inflammation; however, primary immune cell isolation from organs that are typically enriched in stromal cells, like the lung, esophagus, or gut, proves to be an ongoing challenge. In fibrotic conditions, this challenge becomes even greater as infiltrating cells become trapped in the robust extracellular matrix (ECM). This protocol details a method to isolate cells at high yield from stroma-rich organs that can be used for further analyses via flow cytometry, stimulation, or culturing.

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Purpose Of Review: Understanding the fast-moving field of single-cell technologies, as applied to myeloid biology, requires an appreciation of basic molecular, informatics, and biological concepts. Here, we highlight both key and recent articles to illustrate basic concepts for those new to molecular single-cell analyses in myeloid hematology.

Recent Findings: Recent studies apply single-cell omics to discover novel cell populations, construct relationships between cell populations, reconfigure the organization of hematopoiesis, and study hematopoietic lineage tree and fate choices.

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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.

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Alpha fetoprotein (AFP) is produced by over 50% of hepatocellular carcinomas (HCC). Uptake of tumor-derived AFP (tAFP) can impair activity of human dendritic cells (DC). The expression pattern of the lipid antigen presenting genes from the CD1 family is reduced in AFP-treated monocyte-derived DC.

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