Biology subjects

Fu, Y.-X.

Publications and source records attributed to Fu, Y.-X..

12 recordsLinked to original sources

bioRxiv2025

Moments of the length of sample genealogy and their applications

Underlying many important statistical properties of a sample of DNA sequences is the total branch length L of the samples genealogy. A classic example is the number K of mutations on the genealogy, whose expectation and variance are simple functions of the expectation and variance of L. However, higher moments of L and related quantities have received relatively little attention despite their potential utility. This paper systematically investigates the properties of L, its relationship with the total branch length of a certain number of descendants, and demonstrates their usefulness through several applications under the constant-in-state model, which is an extension of the Wright-Fisher model with constant effective population size. Specifically, the recurrence relations for the power moments of L as well as for the expectations of products between powers of L and branch length of specified sizes are derived. A closed-form expression for the power moments of L is also obtained. These results allow examination of the large-sample behavior of L through its skewness and kurtosis, revealing that L does not satisfy asymptotic normality under the constant-size Wright-Fisher model, although approximate normality emerges in rapidly growing populations. Moreover, the power moments of L provide a more straightforward route to deriving higher moments of K and yield a novel approach for computing the distribution of K. The associated mixed moments similarly lead to a novel method for calculating the probability of having a single mutation of a specified number of descendants.

evolutionary biology↗

bioRxiv2025

The distribution of the number of mutations in the genealogy of a sample from a single population

The number K of mutations in the genealogy of a sample of n sequences from a single population is one essential summary statistics in molecular population genetics and is equal to the number of segregating sites in the sample under the infinitesites model. Although its expectation and variance are the most widely utilized properties, its sampling formula (i.e., probability distribution) is the foundation for all explorations related to K. Recently, it has been established that K is subject to the Central Limit Theorem, and thus has asymptotic normality. However, due to its slow convergence to normality, the finite-sample distribution remains indispensable. Although an analytic sampling formula exists, its numerical application is limited due to susceptibility to error propagation. This paper presents a new sampling formula for K in a random sample of DNA sequences from a neutral locus without recombination, taken from a single population evolving according to the Wright-Fisher model with a constant effective population size, or the constant-in-state model, which allows the effective population size to vary across different coalescent states. The new sampling formula is expressed as the sum of the probabilities of the various ways mutations can manifest in the sample genealogy and achieves simplicity by partitioning mutations into hypothetical atomic clusters that cannot be further divided. Under the Wright-Fisher model with a constant effective population size, the new sampling formula is closely analogous to the celebrated Ewens sampling formula for the number of distinct alleles in a sample. Numerical computation using the new sampling formula is accurate and is limited only by the burden of enumerating a large number of partitions of a large K. However, significant improvement in efficiency can be achieved by prioritizing the enumeration of partitions with a large number of parts.

genetics↗

bioRxiv2025

The central limit theorem for the number of mutations in the genealogy of a sample from a large population

The number K of mutations identifiable in a sample of n sequences from a large population is one of the most important summary statistics in population genetics and is ubiquitous in the analysis of DNA sequence data. K can be expressed as the sum of n -1 independent geometric random variables. Consequently, its probability generating function was established long ago, yielding its well-known expectation and variance. However, the statistical properties of K is much less understood than those of the number of distinct alleles in a sample. This paper demonstrates that the central limit theorem holds for K, implying that K follows approximately a normal distribution when a large sample is drawn from a population evolving according to the Wright-Fisher model with a constant effective size, or according to the constant-in-state model, which allows population sizes to vary independently but bounded uniformly across different states of the coalescent process. Additionally, the skewness and kurtosis of K are derived, confirming that K has asymptotically the same skewness and kurtosis as a normal distribution. Furthermore, skewness converges at speed [Formula] and while kurtosis at speed 1 /ln n. Despite the overall convergence speed to normality is relatively slow, the distribution of K for a modest sample size is already not too far from normality, therefore the asymptotic normality may be sufficient for certain applications when the sample size is large enough.

genetics↗

bioRxiv2023

Lymphotoxin-β Promotes Bone Colonization and Osteolytic Outgrowth of Indolent Bone Metastatic cells of Breast Cancer

Bone metastatic relapse is a lethal consequence of breast cancer, occurring years after initial diagnosis. By analyzing single-cell transcriptomes of bone-seeding tumor cells and in vivo barcoded cDNA library screening, LT{beta} (lymphotoxin-{beta}) is identified as a key factor highly expressed in early-stage bone metastatic cells, associated with poor bone metastasis-free survival, and capable of promoting dormancy reactivation in multiple breast cancer models. Mechanistically, tumor-derived LT{beta} activates NF-{kappa}B2 signaling in osteoblasts to express CCL2/5, facilitating tumor cell seeding and accelerating osteoclastogenesis. Both processes contribute to the reactivation of dormancy and metastatic outgrowth. Blocking LT{beta} signaling with a decoy receptor significantly suppressed bone colonization and metastatic progression, whereas clinical sample analysis revealed significantly higher LT{beta} expression in bone metastases than in primary tumors. Our findings highlight LT{beta} as a bone niche-induced factor that promotes tumor cell seeding and dormancy reactivation, underscoring its potential as a therapeutic target for preventing bone metastatic relapse in patients with breast cancer.

cell biology↗

bioRxiv2022

Mechanistic origin of different binding affinities of SARS-CoV and SARS-CoV-2 spike RBDs to human ACE2

The receptor-binding domain (RBD) of the SARS-CoV-2 spike protein mediates viral entry into host cells through binding to the cell-surface receptor angiotensin-converting enzyme 2 (ACE2). It has been shown that SARS-CoV-2 RBD (RBDCoV2) has a higher binding affinity to human ACE2 than its highly homologous SARS-CoV RBD (RBDCoV), for which the mechanistic reasons still remain to be elucidated. Here, we used the multiple-replica molecular dynamics (MD) simulations, molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) binding free energy calculations, and interface residue contact network (IRCN) analysis approach to explore the mechanistic origin of different ACE2 binding affinities of these two RBDs. The results demonstrate that, when compared to the RBDCoV2-ACE2 complex, the RBDCoV-ACE2 complex features the enhanced overall structural fluctuations and inter-protein positional movements and increased conformational entropy and diversity. The inter-protein electrostatic attractive interactions are a dominant force in determining the high ACE2 affinities of both RBDs, while the significantly strengthened electrostatic forces of attraction of ACE2 to RBDCoV2 determine the higher ACE2 binding affinity of RBDCoV2 than of RBDCoV. Comprehensive comparative analyses of the residue binding free energy components and IRCNs reveal that, although any RBD residue substitution involved in the charge change can significantly impact the inter-protein electrostatic interaction strength, it is the substitutions at the RBD interface that lead to the overall stronger electrostatic attractive force of RBDCoV2-ACE2, which in turn not only tightens the interface packing and suppresses the dynamics of RBDCoV2-ACE2, but also enhances the ACE2 binding affinity of RBDCoV2 compared to that of RBDCoV. Since the RBD residue substitutions involving gain/loss of the positively/negatively charged residues, in particular those near/at the binding interfaces with the potential to form hydrogen bonds and/or salt bridges with ACE2, can greatly enhance the ACE2 binding affinity, the SARS-CoV-2 variants carrying such mutations should be paid special attention to.

biophysics↗

bioRxiv2021

Lactate Increases Stemness of CD8+ T Cells to Augment Anti-Tumor Immunity

Nutrients and metabolites play important roles in immune functions. Recent studies show lactate instead of glucose can serve as a primary carbon fuel source for most tissues. The role of lactate in tumor immunity is not well understood with immune suppressive functions reported for lactic acid, the conjugate acid form of lactate. In this study, we report lactate increases the stemness of CD8+ T cells and augments anti-tumor immunity. Subcutaneous administration of lactate but not glucose shows CD8+ T cell-dependent tumor growth inhibition. Single cell transcriptomics analysis revealed lactate treatment increased a subpopulation of stem-like TCF-1-expressing CD8+ T cells, which is further validated by ex vivo culture of CD8+ T cells from mouse splenocytes and human peripheral blood mononuclear cells. The inhibition of histone deacetylase activity by lactate increased acetylation in the histone H3K27 site at the Tcf7 super enhancer locus and increased the gene expression of Tcf7. Adoptive transfer of CD8+ T cells pretreated with lactate in vitro showed potent tumor growth inhibition in vivo. Our results elucidate the immune protective role of lactate in anti-tumor immunity without the masking effect of acid. These results may have broad implications for T cell therapy and the understanding of lactate in immune metabolism.

immunology↗

bioRxiv2021

Interferon-armed RBD dimer enhances the immunogenicity of RBD for sterilizing immunity against SARS-CoV-2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global crisis, urgently necessitating the development of safe, efficacious, convenient-to-store, and low-cost vaccine options. A major challenge is that the receptor-binding domain (RBD)-only vaccine fails to trigger long-lasting protective immunity if used solely for vaccination. To enhance antigen processing and cross-presentation in draining lymph nodes (DLNs), we developed an interferon (IFN)-armed RBD dimerized by immunoglobulin fragment (I-R-F). I-R-F efficiently directs immunity against RBD to DLN. A low dose of I-R-F induces not only high titer long-lasting neutralizing antibodies but also comprehensive T cell responses than RBD, and even provides comprehensive protection in one dose without adjuvant. This study shows that the I-R-F vaccine provides rapid and complete protection throughout upper and lower respiratory tracts against high dose SARS-CoV-2 challenge in rhesus macaques. Due to its potency and safety, this engineered vaccine may become one of the next-generation vaccine candidates in the global race to defeat COVID-19.

immunology↗

bioRxiv2020

Amitosis as a strategy of cell division - Insight from the proliferation of Tetrahymena thermophila macronucleus

Cell division is a necessity of life which can be either mitotic or amitotic. While both are fundamental, amitosis is sometimes considered a relic of little importance in biology. Nevertheless, eukaryotes often have polyploid cells, including cancer cells, which may divide amitotically. To understand how amitosis ensures the completion of cell division, we turn to the macronuclei of ciliates. The grand scheme governing the proliferation of the macronuclei of ciliate cells, which involves chromosomal replication and the amitosis, is currently unknown. Using a novel model that encompasses a wide range of mechanisms together with experimental data of the composition of mating types at different stages derived from a single karyonide of Tetrahymena thermophila, we show that the chromosomal replication of the macronucleus has a strong head-start effect, with only about five copies of chromosomes replicated at a time and persistent reuse of the chromosomes involved in the early replication. Furthermore the fission of a fully grown macronucleus is non-random, with a strong tendency to push chromosomes and their replications to the same daughter cell. Similar strategies may exist for other Tetrahymena species or ciliates, and have implications to the amitosis of polyploid cells of multicellular organisms.

genetics↗

bioRxiv2020

Tissue-resident CD4+ T helper cells assist protective respiratory mucosal B and CD8+ T cell memory responses

The roles of CD4+ T helper cells (TH) in shaping localized memory B and CD8+ T cell immunity in the mucosal tissues are largely unexplored. Here, we report that lung TH cells provide local assistance for the optimal development of tissue-resident memory B (BRM) and CD8+ T (TRM) cells following the resolution of primary influenza virus infection. We identify a population of tissue-resident CD4+ TH (aka TRH) cells that co-exhibit follicular T helper (TFH) and TRM cell features and mediate local help of CD4+ T cells to B and CD8+ T cells. Optimal TRH cell formation requires lung B cells and transcription factors involved in TFH or TRM development. Further, we show that TRH cells deliver local help to B and CD8 T cells through CD40L and IL-21-dependent mechanisms. Our data have uncovered a new tissue-resident TH cell population that is specialized in assisting the development of mucosal protective B and CD8+ T cell responses in situ.

immunology↗

bioRxiv2019

Trevolver: simulating non-reversible DNA sequence evolution in trinucleotide context on a bifurcating tree

SummaryRecent de novo mutation data allow the estimation of non-reversible mutation rates for trinucleotide sequence contexts. However, existing tools for simulating DNA sequence evolution are limited to time-reversible models or do not consider trinucleotide context-dependent rates. As this ability is critical to testing evolutionary scenarios under neutrality, we created Trevolver. Sequence evolution is simulated on a bifurcating tree using a 64 x 4 trinucleotide mutation model. Runtime is fast and results match theoretical expectation for CpG sites. Simulations with Trevolver will enable neutral hypotheses to be tested at within-species (polymorphism), between-species (divergence), within-host (e.g., viral evolution), and somatic (e.g., cancer) levels of evolutionary change.\n\nAvailability and ImplementationTrevolver is implemented in Perl and available on GitHub under GNU General Public License (GPL) version 3 at https://github.com/chasewnelson/trevolver.\n\nContactcnelson@amnh.org\n\nSupplementary informationFurther details and example data are available on GitHub.

evolutionary biology↗

bioRxiv2018

The landscape of antigen-specific T cells in human cancers

Antigen-specific T cells can be orchestrated to kill cancer cells in immunotherapies but the utilities of the TCR information have not been fully explored. Here, we leveraged previous efforts on tumor TCR repertoire, and developed a novel algorithm to characterize antigen-specific TCR clusters. Joint analysis with gene expression revealed novel regulators for T cell activation. Investigation of single-cell sequencing data revealed a novel subset of tissue-resident memory T cell population with elevated metabolic status. Integrative analysis of TCR clusters with HLA alleles and cancer genomics data identified candidate antigens derived from missense mutations, frameshift indels, and tumor-associated gene overexpression. Predicted antigen HSFX1 was further validated using vaccinated humanized HLA-A*02:01 mice. Finally, high abundant cancer-associated TCRs were observed in the blood repertoire of early breast cancer patients, suggesting new avenues for noninvasive early detection. Thus, our analysis identified cancer-associated T cells with broad utilities in immune monitoring and cancer immunotherapies.

bioinformatics↗

bioRxiv2018

Dynamics of the sex ratio in Tetrahymena thermophila

Sex is often hailed as one of the major successes in evolution, and in sexual organisms the maintenance of proper sex ratio is crucial. As a large unicellular eukaryotic lineage, ciliates exhibit tremendous variation in mating systems, especially the number of sexes and the mechanism of sex determination (SD), and yet how the populations maintain proper sex ratio is poorly understood. Here Tetrahymena thermophila, a ciliate with seven mating types (sexes) and probabilistic SD mechanism, is analyzed from the standpoint of population genetics. It is found based on a newly developed population genetics model that there are plenty of opportunities for both the co-existence of all seven sexes and the fixation of a single sex, pending on several factors, including the strength of natural selection. To test the validity of predictions, five experimental populations of T. thermophila were maintained in the laboratory so that the factors that can influence the dynamics of sex ratio could be controlled and measured. Furthermore, whole-genome sequencing was employed to examine the impact of newly arisen mutations. Overall, it is found that the experimental observations highly support theoretical predictions. It is expected that the newly established theoretical framework is applicable in principle to other multi-sex organisms to bring more insight into the understanding of the maintenance of multiple sexes in a natural population.

evolutionary biology↗