Biology subjects

Taniguchi, R.

Publications and source records attributed to Taniguchi, R..

7 recordsLinked to original sources

bioRxiv2024

T Cell Receptor Diversity, Cancer and Sex: Insights from 30,000 TCRβ Repertoires

Immunoediting posits that mutation and immunity jointly shape cancer evolution, yet their population-level interplay remains uncertain. Here we analyze T cell receptor (TCR) {beta} repertoires from 30,000 individuals and find that TCR diversity, essential for recognizing and eliminating malignant cells, declines with age. This immune decline occurs 11 years later in females and coincides with their lower cancer incidence, suggesting a biological connection. To test this link, we formalize immunoediting as a quantitative model of carcinogenesis, relating the measured age-associated decline in TCR diversity to rising cancer incidence. We find that both mutational and immune processes shape cancer risk, with lower incidence in females attributable to delayed immune decline. Extending this analysis across subtypes uncovers structured patterns in cancer incidence that reflect the relative contributions of these processes. Cancers cluster along an emergent immune-mutation axis that aligns with known features of cancer biology and indicates convergent evolutionary dynamics. Together, our results establish a quantitative, population-level framework for immunoediting that connects direct measurements of immune competence to cancer risk, integrating the molecular mechanisms, evolutionary dynamics and incidence patterns of cancer to reveal a fundamental balance between mutation and immunity that underlies carcinogenesis.

cancer biology↗

bioRxiv2024

The small GTPase Ran defines Nuclear Pore Complex asymmetry

Nuclear pore complexes (NPCs) bridge across the nuclear envelope and mediate nucleocytoplasmic exchange. They consist of hundreds of nucleoporin building blocks and exemplify the structural complexity of macromolecular assemblies. To ensure transport directionality, different nucleoporin complexes are attached to the cytosolic and nuclear face of the NPC. How those asymmetric structures are faithfully assembled onto the symmetric scaffold architecture that exposes the same interaction surfaces to either side, remained enigmatic. Here we combine cryo-electron tomography, subtomogram averaging, and template matching with live cell imaging to address this question in budding yeast and Drosophila melanogaster. We genetically induce ectopic nuclear pores and show that pores outside the nuclear envelope are symmetric. We furthermore demonstrate that the peripheral NPC configuration depends on the nucleotide state of the small GTPase Ran. Our findings indicate that the nuclear transport system is self-regulatory, namely the same molecular mechanism controls both transport and transport channel composition.

cell biology↗

bioRxiv2024

Large-scale statistical mapping of T-cell receptor β sequences to Human Leukocyte Antigens

T-cell receptors (TCRs) interacting with peptides presented by human leukocyte antigens (HLAs) are the foundation of the adaptive immune system but population-level analysis of TCR-HLA interactions is lacking. Here we statistically associate[~] 106 public TCRs to specific HLAs using the TCR{beta} repertoires sampled from 4,144 HLA-genotyped subjects. The TCRs we associate are specific to unique HLA allotypes, not allelic groups, and to the paired -{beta} heterodimer of class II HLAs though exceptions are observed. This specificity permits highly accurate imputation of 248 class I and II HLAs from the TCR{beta} repertoire. Notably, 45 HLA-DP and -DQ heterodimers lack associated TCRs because they likely arise from non-functional trans-complementation. The public class I and II HLA-associated TCRs we identify are primarily expressed on CD8+ and CD4+ memory T cells, respectively, which are responding to various common antigens. Our results recapitulate fundamental biology, provide insights into the functionality of HLAs and demonstrate the power and potential of population-level TCR repertoire sequencing.

immunology↗

bioRxiv2024

Identifying immune signatures of common exposures through co-occurrence of T-cell receptors in tens of thousands of donors

BackgroundMemory T cells are records of clonal expansion from prior immune exposures such as infections, vaccines and chronic diseases. Some of the receptors of these expanded T cell clones in a typical immune repertoire are highly public (present in many individuals) because they respond to the same peptide from a prevalent immune exposure, presented by the same Human Leukocyte Antigen (HLA) allele. Only a tiny fraction of public T-cell receptor {beta} sequences (TCRs) have known associations with exposures or specific peptides. MethodsWe mined the TCR repertoires of tens of thousands of donors to define "ECOclusters": clusters of public TCRs that tend to occur in the same donors. First, we built models to infer donor HLA type from the TCR repertoire, then associated public TCRs with HLA alleles. Next, we derived co-occurrence clusters of TCRs responding to antigens presented by the same HLA allele, then combined those clusters by co-occurrence across HLA alleles. Each such cross-HLA ECOcluster putatively represents a public TCR signature of a single exposure. ResultsWe constructed sensitive, specific models to predict the presence of 220 HLA alleles from TCR repertoires and clustered 8,618,285 HLA allele-associated TCRs to define 11,058 ECOclusters. Using serologically labeled repertoires, we identified ECOclusters associated with HSV-1, HSV-2, EBV, Parvovirus, Toxoplasma gondii, Cytomegalovirus and SARS-CoV-2, and constructed sensitive, specific classifiers of exposure. ECOclusters represent a step toward deciphering the ledger of immune exposure history encoded by the T-cell repertoire.

immunology↗

bioRxiv2024

Seq2MAIT: A Novel Deep Learning Framework for Identifying Mucosal Associated Invariant T (MAIT) Cells

Mucosal-associated invariant T (MAIT) cells are a group of unconventional T cells that mainly recognize bacterial vitamin B metabolites presented on MHC-related protein 1 (MR1). MAIT cells have been shown to play an important role in controlling bacterial infection and in responding to viral infections. Furthermore, MAIT cells have been implicated in different chronic inflammatory diseases such as inflammatory bowel disease and multiple sclerosis. Despite their involvement in different physiological and pathological processes, a deeper understanding of MAIT cells is still lacking. Arguably, this can be attributed to the difficulty of quantifying and measuring MAIT cells in different biological samples which is commonly done using flow cytometry-based methods and single-cell-based RNA sequencing techniques. These methods mostly require fresh samples which are difficult to obtain, especially from tissues, have low to medium throughput, and are costly and labor-intensive. To address these limitations, we developed sequence-to-MAIT (Seq2MAIT) which is a transformer-based deep neural network capable of identifying MAIT cells in bulk TCR-sequencing datasets, enabling the quantification of MAIT cells from any biological materials where human DNA is available. Benchmarking Seq2MAIT across different test datasets showed an average area-under-the-receiver-operator-curve (AU[ROC]) >0.80. In conclusion, Seq2MAIT is a novel, economical, and scalable method for identifying and quantifying MAIT cells in virtually any biological sample.

bioinformatics↗

bioRxiv2024

Nuclear pores safeguard the integrity of the nuclear envelope

Nuclear pore complexes (NPCs) constitute giant channels within the nuclear envelope that mediate nucleocytoplasmic exchange. NPC diameter is thought to be regulated by nuclear envelope tension, but how such diameter changes are physiologically linked to cell differentiation, where mechanical properties of nuclei are remodeled and nuclear mechanosensing occurs, remains unstudied. Here we used cryo-electron tomography to show that NPCs dilate during differentiation of mouse embryonic stem cells into neural progenitors. In Nup133-deficient cells, which are known to display impaired neural differentiation, NPCs however fail to dilate. By analyzing the architectures of individual NPCs with template matching, we revealed that the Nup133-deficient NPCs are structurally heterogeneous and frequently disintegrate, resulting in the formation of large nuclear envelope openings. We propose that the elasticity of the NPC scaffold mechanically safeguards the nuclear envelope. Our studies provide a molecular explanation for how genetic perturbation of scaffolding components of macromolecular complexes causes tissue-specific phenotypes.

cell biology↗

bioRxiv2023

Translation dynamics in human cells visualized at high-resolution reveal cancer drug action

Ribosomes catalyze protein synthesis by cycling through various functional states. These states have been extensively characterized in vitro, yet their distribution in actively translating human cells remains elusive. Here, we optimized a cryo-electron tomography-based approach and resolved ribosome structures inside human cells with a local resolution of up to 2.5 angstroms. These structures revealed the distribution of functional states of the elongation cycle, a Z tRNA binding site and the dynamics of ribosome expansion segments. In addition, we visualized structures of Homoharringtonine, a drug for chronic myeloid leukemia treatment, within the active site of the ribosome and found that its binding reshaped the landscape of translation. Overall, our work demonstrates that structural dynamics and drug effects can be assessed at near-atomic detail within human cells. One-Sentence SummarySnapshots of ribosome dynamics at near-atomic resolution within native and drug-treated human cells are revealed.

cell biology↗