Publications by authors named "Changde Cheng"

Neurological injury drives most deaths and morbidity among patients hospitalized for out-of-hospital cardiac arrest (OHCA). Despite its clinical importance, there are no effective pharmacological therapies targeting post-cardiac arrest (CA) neurological injury. Here, we analyzed circulating immune cells from a large cohort of patients with OHCA, finding that lymphopenia independently associated with poor neurological outcomes.

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Purpose: Therapy-related myeloid neoplasm (t-MN) is a life-threatening complication of autologous peripheral blood stem cell (PBSC) transplantation for non-Hodgkin lymphoma (NHL). Previous studies report an association between clonal hematopoiesis (CH) in PBSC and risk of t-MN, but small samples precluded examination of risk within specific subpopulations.

Methods: Targeted DNA sequencing was performed to identify CH mutations in PBSC from a retrospective cohort of 984 patients with NHL (median age at transplant, 57 years; range, 18-78).

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Article Synopsis
  • - The study focuses on the importance of immunophenotyping in patients who experience out-of-hospital cardiac arrest (OHCA) and the challenges involved in this research area.
  • - It outlines the necessary steps for creating a clinical cohort, including patient enrollment, sample collection, and ethical review processes.
  • - The protocol details the methods for collecting blood samples and preserving certain immune cells, specifically focusing on modulating immune checkpoints in OHCA patients, which can also be applied to other critical illnesses.
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  • The study investigates the genetic and epigenetic factors that contribute to synchronous bilateral Wilms tumor in 68 patients through various sequencing and analysis techniques.
  • Key findings indicate that predisposition can stem from pre-zygotic germline genetic variants found in blood DNA and post-zygotic epigenetic changes, particularly hypermethylation at the 11p15.5 region.
  • Among the tumors analyzed, a significant proportion exhibited either normal imprinting, loss of heterozygosity, or epigenetic hypermethylation, highlighting the complexity of the tumor's genetic background.
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Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating cellular biology at an unprecedented resolution, enabling the characterization of cellular heterogeneity, identification of rare but significant cell types, and exploration of cell-cell communications and interactions. Its broad applications span both basic and clinical research domains. In this comprehensive review, we survey the current landscape of scRNA-seq analysis methods and tools, focusing on count modeling, cell-type annotation, data integration, including spatial transcriptomics, and the inference of cell-cell communication.

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  • Researchers have developed a new mouse model that replicates key features of hepatoblastoma, enabling better understanding of the disease and potential treatments.
  • They used advanced techniques like single-cell RNA-sequencing to identify different types of cancer cells and mapped genes crucial for cancer dependency, revealing targets for therapy.
  • In testing chemotherapy responses, they found certain genetic factors that can enhance or diminish the effectiveness of doxorubicin, suggesting that targeting PRKDC could improve treatment outcomes.
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  • Patients who experience cardiac arrest often suffer from neurological injury due to systemic inflammation, but the exact mechanisms are not well understood.!* -
  • Research shows that immune cell responses start to differ within 6 hours after cardiac arrest, influencing patient outcomes; specific immune cell types are linked to poor neurological recovery.!* -
  • The study suggests early interventions targeting immune checkpoints may help reduce inflammation and improve recovery after cardiac arrest.!*
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This study comprehensively evaluated the landscape of genetic and epigenetic events that predispose to synchronous bilateral Wilms tumor (BWT). We performed whole exome or whole genome sequencing, total-strand RNA-seq, and DNA methylation analysis using germline and/or tumor samples from 68 patients with BWT from St. Jude Children's Research Hospital and the Children's Oncology Group.

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Rhabdomyosarcoma (RMS), a cancer characterized by features of skeletal muscle, is the most common soft-tissue sarcoma of childhood. With 5-year survival rates among high-risk groups at < 30%, new therapeutics are desperately needed. Previously, using a myoblast-based model of fusion-negative RMS (FN-RMS), we found that expression of the Hippo pathway effector transcriptional coactivator YAP1 (YAP1) permitted senescence bypass and subsequent transformation to malignant cells, mimicking FN-RMS.

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Life history theory predicts that the intensity of selection declines with age, and this trend should impact how genes expressed at different ages evolve. Here we find consistent relationships between a gene's age of expression and patterns of molecular evolution in two mammals (the human Homo sapiens and the mouse Mus musculus) and two insects (the malaria mosquito Anopheles gambiae and the fruit fly Drosophila melanogaster). When expressed later in life, genes fix nonsynonymous mutations more frequently, are more polymorphic for nonsynonymous mutations, and have shorter evolutionary lifespans, relative to those expressed early.

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  • Sexual dimorphism in gene expression contributes to differences in various traits and can arise from both direct selection and indirect responses to other selection types, challenging the traditional assumption that it only evolves through direct selection for different phenotypes in males and females.
  • The study reanalyzes gene expression data from the fruit fly Drosophila melanogaster, finding that the genetic relationships among traits (captured in the genetic variance-covariance matrix, G) play a significant role in how sexual dimorphism develops.
  • Results indicate that both sexually concordant (similar) and antagonistic (opposite) selection pressures can influence sexual dimorphism, and the conventional view of sexual dimorphism as solely adaptive may
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AbstractSexual dimorphism is often assumed to result from balancing the strength of antagonistic selection in favor of dimorphism against the degree of constraint imposed by the shared genome of the sexes, reflected in the matrix of genetic intersexual covariances. To investigate the totality of forces shaping dimorphism, we reparameterized the Lande equation to predict changes in trait averages and trait differences between the sexes. As genetic constraints on the evolution of dimorphism in response to antagonistic selection become larger, dimorphism will tend to respond more rapidly to concordant selection (which favors the same direction of change in male and female traits) than to antagonistic selection.

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Single-cell RNA sequencing (scRNA-seq) is a powerful tool for characterizing the cell-to-cell variation and cellular dynamics in populations which appear homogeneous otherwise in basic and translational biological research. However, significant challenges arise in the analysis of scRNA-seq data, including the low signal-to-noise ratio with high data sparsity, potential batch effects, scalability problems when hundreds of thousands of cells are to be analyzed among others. The inherent complexities of scRNA-seq data and dynamic nature of cellular processes lead to suboptimal performance of many currently available algorithms, even for basic tasks such as identifying biologically meaningful heterogeneous subpopulations.

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Photoperiod is a key environmental cue affecting flowering and biomass traits in plants. Key components of the photoperiodic flowering pathway have been identified in many species, but surprisingly few studies have globally examined the diurnal rhythm of gene expression with changes in day length. Using a cost-effective 3'-Tag RNA sequencing strategy, we characterize 9,010 photoperiod responsive genes with strict statistical testing across a diurnal time series in the C perennial grass, Panicum hallii.

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In many insects, X-linked inversions fix at a higher rate and are much less polymorphic than autosomal inversions. Here, we report that in Drosophila, X-linked inversions also capture 67% more genes. We estimated the number of genes captured through an approximate Bayesian computational analysis of gene orders in nine species of Drosophila.

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Inversion polymorphisms in the African malaria vector segregate along climatic gradients of aridity. Despite indirect evidence of their adaptive significance, little is known of the phenotypic targets of selection or the underlying genetic mechanisms. Here we adopt a systems genetics approach to explore the interaction of two inversions on opposite arms of chromosome 2 with gender, climatic conditions, and one another.

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  • The study investigates how extrinsic factors and intrinsic signal strength affect thymocyte (T cell precursor) development, focusing on the role of mTORC1 in this process.
  • It reveals that mTORC1 interacts with metabolic programs to influence the development of two major T cell lineages, αβ and γδ T cells, by controlling metabolic processes like glycolysis and oxidative phosphorylation.
  • The research identifies mTORC1’s role in regulating reactive oxygen species as a crucial factor in determining the developmental fate of thymocytes, linking T cell receptor and NOTCH signals to metabolic activity.
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  • * Crossovers in males tend to cluster at chromosome ends due to the suppression of recombination near centromeres, while females display a more even distribution of crossovers across their chromosomes.
  • * Genomic differentiation between the two stickleback species correlates with recombination rates, indicating that sex-specific recombination patterns may influence sexually antagonistic selection and the evolution of sex chromosomes.
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Intersexual genetic correlations are expected to constrain the evolution of sexual dimorphic traits, including the degree of sex-biased gene expression. Consistent with that expectation, studies in fruit flies and birds have reported that genes whose expression has a strong intersexual genetic correlation (rMF) show a lower level of sex-biased expression (SBE). However, it is known that both rMF and SBE can be affected by the environment.

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  • Mechanisms of sex determination in mosquitoes, specifically Aedes aegypti, are crucial for developing control strategies against diseases like dengue and Zika.
  • Recent findings reveal that the genetic differentiation between male and female sex chromosomes in Ae. aegypti is much larger than previously thought, covering about 123 million base pairs, which affects how researchers can identify and manipulate mosquito populations.
  • This study opens new avenues for improving genetic mapping and mosquito control techniques by harnessing the genetic differences tied to sex determination in these vectors.
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  • Sexual dimorphism is influenced by sex-biased gene expression, which evolves due to different selection pressures on males and females.
  • A study comparing genetic divergence in humans and Drosophila (fruit flies) reveals a "Twin Peaks" pattern, showing that genes with intermediate sex-biased expression are linked to ongoing sex-specific selection.
  • Findings suggest that this pattern results from varying viability selection in males and females, and a model developed in the study successfully explains the observed phenomenon.
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Y chromosomes control essential male functions in many species, including sex determination and fertility. However, because of obstacles posed by repeat-rich heterochromatin, knowledge of Y chromosome sequences is limited to a handful of model organisms, constraining our understanding of Y biology across the tree of life. Here, we leverage long single-molecule sequencing to determine the content and structure of the nonrecombining Y chromosome of the primary African malaria mosquito, Anopheles gambiae We find that the An.

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  • Evolution of osmoregulatory systems plays a critical role in how species adapt to different water environments, particularly for the Anopheles mosquito species studied.
  • Researchers compared gene expressions in two types of malaria mosquitoes, An. coluzzii (less adaptable to saltwater) and An. merus (more adaptable), when exposed to freshwater and saltwater.
  • The study identified genes related to salinity tolerance and suggested interactions between immune responses and osmoregulation, enhancing our understanding of how these mosquitoes thrive in varying habitats.
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