Biology subjects

Zhao, Z.

Publications and source records attributed to Zhao, Z..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Living multicellular systems induce decodable spatial patterns in bacterial collectives

Living systems continuously modify their environments through chemical, mechanical, metabolic and bioelectrical activity. Whether a presence of a multicellular system can be encoded into the emergent spatial organization of another living collective in a distributed and decodable way is unknown. Here we show that motile Bacillus subtilis populations reorganize their spatial and ionic collective states in response to nearby Xenopus embryos and Xenobots. The bacteria in a liquid culture formed autonomous motility-dependent patterns that were redirected by living targets into attraction halos, which tracked target position at a distance. Extracellular levels of potassium amplified attraction, altered local potassium dynamics, and coupled target presence to global pattern complexity. Self-supervised machine learning further identified distributed bacterial spatial signatures predictive of Xenopus embryo vs. Xenobot presence at a distance from the target. Together, these findings suggest that bacterial collectives can encode information about the state of other biota in their environment, revealing a previously unrecognized form of inter-kingdom interaction between living morphogenetic systems.

systems biology↗

bioRxiv2026

POU2AF2/OCA-T1 coactivates POU2F2 and defines a lineage-specific dependency in diffuse large B-cell lymphoma

Lineage-restricted transcriptional programs establish cell identity and can create selective dependencies in cancer. Here, we identify POU2AF2, encoding the transcriptional co-activator OCA-T1, as a critical lineage-specific dependency in a subset of diffuse large B-cell lymphoma (DLBCL). Pan-cancer dependency analyses and patient cohorts reveal elevated POU2AF2 expression in genetically aggressive DLBCL, where its depletion markedly suppresses tumor growth in vitro and in vivo. Mechanistically, POU2AF2 cooperates with the B-cell lineage-defining transcription factor POU2F2 (OCT2) to activate lymphocyte activation gene programs through direct chromatin engagement, thereby sustaining malignant transcriptional networks. We further identified a key epigenetic regulatory axis composed of the lineage-specific transcription factor TCF3 and the histone methyltransferase SET1A-COMPASS that drives POU2AF2 expression downstream of B-cell receptor signaling. Single-cell transcriptomic analysis reveals that POU2AF2 marks and sustains an innate-like B1 B-cell population in vivo, a candidate cell of origin for lymphoma. Together, these findings define a lineage-restricted POU2AF2/POU2F2 transcriptional module, controlled by a TCF3/SET1A epigenetic network, that sustains both innate-like B-cell identity and malignant fitness in DLBCL. Our study uncovers a previously unrecognized lineage-specific transcriptional dependency and highlights POU2AF2 and its associated regulatory circuitry as potential therapeutic targets in aggressive B-cell malignancies.

cell biology↗

bioRxiv2026

From distyly to stigma-height dimorphism: phylogenetic insights into the evolutionary breakdown of distyly in Jasminum

Background and AimsDistylous polymorphisms (distyly) are adaptations for plants to improve efficiency of cross-pollination and reduce pollen wastage. Theoretical models suggest that distyly evolves from stylar monomorphism via an intermediate stage of stigma-height dimorphism (SHD), however, this evolutionary scenario is only observed in few distylous lineages. The genus Jasminum have many species exhibit either distyly or SHD, providing an ideal opportunity to test models of the evolution of distyly. Focusing on the evolution of distyly, we investigated floral morphs and evaluated the occurrence of distyly and SHD in Jasminum using phylogenetic reconstruction and morphological analysis. MethodsWe investigated floral morphs and evaluated the occurrence of distyly and stigma-height dimorphism through morphology observation. To perform phylogenetic analysis, we sequenced plastomes of forty species from Jasminum and Chrysojasminum using Illumina next generation sequencing, and then constructed phylogenetic tree using maximum likelihood method and Bayesian inference. Based on the phylogenetic tree, we inferred the ancestral floral type through ancestral reconstruction. Key ResultsOur results suggest that the distyly originated in the common ancestor of Jasminum and Chrysojasminum. SHD occurs in several Jasminum species scattered in different clades of the phylogenetic tree, suggesting multiple independent reversions from distyly back to SHD. However, this transition is not associated with the loss of ancillary polymorphisms, as all the species examined in this study well retain dimorphic traits for other floral organs such as pollens and stigmas. Moreover, most species maintain strict heteromorphic self-incompatibility, while J. officinale has lost or at least partially lost self-incompatibility, suggesting that distyly is not always linked to self-incompatibility. ConclusionsIn Jasminum, breakdown of distyly resulted in evolutionary transitions to stigma-height dimorphism for multiple times, suggesting that distyly is not a stable floral polymorphism under certain selective forces. These findings advance our understanding on the evolution of distyly and plant reproductive systems.

plant biology↗

bioRxiv2026

Activity-dependent structural plasticity of myelinated axons tunes their excitability

Myelinated axons are classically viewed as stable cables of fixed geometry. We show here that a brief subthreshold stimulation of single nodes in mouse dorsal column axons drives a rapid, lasting structural change: the stimulated axons shrink locally along the internode segments adjacent to the node, to about 70% of their diameter within a few seconds, while neighbouring glia swell to fill the space, sparing the node, paranode and more distant internodes. The thinned axon becomes markedly more excitable for hours, by an amount cable theory predicts from its shorter internodal length constant rather than from active currents that tend to decay over long periods. Using a grease-gap signal that reports the axial-conductance change, we find the axon thinning requires under-myelin Kv1 channels, Na/K-ATPase pumps, bicarbonate, and altered pH, consistent with a regenerative periaxonal potassium build-up that osmotically compresses the axon and swells glia, as previously proposed for physiological high-frequency firing. We present evidence that this mechanism may contribute to the long-lasting clinical benefits of spinal cord stimulation. Axonal GABAA receptor activation reproduces and occludes the plasticity induced by stimulation, indicating that they share a common underlying mechanism. Activity-dependent axon thinning thus enables potent physiologically relevant long term control of conduction, with potential clinical applications.

neuroscience↗

bioRxiv2026

PerturbLDM: conditional latent diffusion for modelling single-cell perturbation responses

Single-cell perturbation profiling maps intervention-induced phenotypes, yet experiments measure only a fraction of the perturbation-context space. Learning context-dependent perturbation effects could enable response prediction beyond measured conditions. Here we introduce PerturbLDM, a latent-diffusion framework for conditional generation of single-cell transcriptional responses. Following Tahoe-100M pretraining, it predicted 13,942 held-out combinations of observed drugs, doses and cell lines more accurately than existing methods, with higher matched-control effect correlation than an additive marginal baseline in 95.2% of conditions. The Tahoe-100M-pretrained model was further used to rank PANACEA compounds by pathway similarity, placing shared-mechanism pairs among nearest neighbours. In smaller datasets, Per-turbLDM generated a mid-gestational fetal-colon state with 67% lower gene-wise error than Squidiff, retaining the balance between absorptive and BEST4/OTOP2-like epithelial programmes. In PBMCs, it captured six of seven interferon and antiviral programmes and the interferon-associated FAO-OXPHOS programme more accurately than scGen. Together, these results support conditional response generation across data scales and biological settings.

bioinformatics↗

bioRxiv2026

Pervasive Backdoor Vulnerabilities in Genomic Foundation Models

Genomic foundation models are increasingly used to interpret and design DNA sequences, yet their susceptibility to training-data manipulation remains poorly understood. Here we systematically evaluate backdoor poisoning across three model families, seven parameter scales ranging from 50 million to 7 billion, and 18 genomic classification tasks. We introduce two complementary 48-nucleotide triggers: a composition-matched synthetic sequence and a biologically grounded trigger derived from transposon terminal inverted repeats. Poisoning 5% of the training data induced high attack success rates across all tested models, with model-level median values ranging from 91.4% to 100%. Increasing parameter scale did not consistently improve resistance, whereas poisoning rate and trigger length had stronger effects on attack efficacy. Performance on unmodified sequences was generally preserved, with 79.4% of model - task - trigger configurations changing by no more than two percentage points, although larger task-specific losses occurred. We further developed a two-stage defense that combines single-nucleotide mutation-sensitivity screening with reference-database validation. Across 28 evaluated configurations, the method achieved 100% precision and a median recall of 92.95%, while localizing the trigger in nearly all detected poisoned sequences. These findings establish training-data poisoning as a pervasive and difficult-to-detect vulnerability in genomic foundation models and motivate stronger data-provenance controls, adversarial evaluation and post-training security auditing.

bioinformatics↗

bioRxiv2026

FCD-11: A First-in-Class COMPASS Inhibitor in Cancer Therapeutics

COMPASS (Complex of proteins associated with Set1) are highly conserved chromatin regulatory complexes responsible for all methylation marks on histone H3 lysine 4 (H3K4). The COMPASS protein SET1A is upregulated in metastatic breast cancer, and its H3K4 methyltransferase activity promotes metastasis in a palmitic acid diet setting. We identify and characterize FCD-11, a first-in-class small molecule inhibitor of COMPASS activity designed to disrupt the termolecular interface between COMPASS SET domains, ASH2L, and RBBP5. FCD-11 significantly inhibited the H3K4me3 methyltransferase activity of SET1A/COMPASS and MLL1/COMPASS in vitro. ChIP-seq and CETSA indicated that FCD-11 selectively inhibits SET1A/COMPASS activity in mouse embryonic stem cells and breast cancer cell lines. FCD-11 significantly reduced tumor size and extended survival in mouse models of breast cancer. Our findings establish FCD-11 as a potent, COMPASS-specific inhibitor lead compound with preclinical efficacy in breast cancer models and therapeutic potential for cancers with abnormal dependence on SET1A/COMPASS activity.

biochemistry↗

bioRxiv2026

Reconstructing sequence-grammar trajectories enables interpretable and tunable cis- regulatory element design

Designing synthetic cis-regulatory elements (CREs) with cell-type-specific activity remains challenging, and optimization is usually treated as a black box, obscuring how regulatory grammar emerges and why design trajectories fail. Here, we present GO-CRE (Guided Optimization of Cis-Regulatory Elements), which combines efficient sequence generation, predictor-guided reinforcement learning, and trajectory-level interpretation. GO-CRE reconstructs iterative sequence changes in a shared sequence-grammar landscape and identifies coordinated update programs corresponding to search, commitment, and optimization. Productive trajectories in HepG2 and K562 progressively acquired cell-type-associated grammar, whereas SK-N-SH trajectories remained confined to local basins. In HepG2, trajectory analysis revealed a low-complexity polyG trap; introducing a polyG penalty redirected optimization toward HNF/FOXA-associated features. Final designs retained sequence diversity while converging on cell-type-associated motif patterns. Lentiviral MPRA validated cell-type-specific activity in K562 and HepG2 and showed higher average activity of HepG2 designs than endogenous CREs. Together, these findings establish sequence-grammar trajectory reconstruction as a basis for interpretable and tunable synthetic CRE design.

genomics↗

bioRxiv2026

Specific F1 ATP synthase inhibition delivers transient mitochondrial stress for selective targeting of acute myeloid leukemia

Targeting oxidative phosphorylation (OXPHOS) represents an attractive therapeutic strategy in acute myeloid leukemia, which exhibits exceptional dependence on mitochondrial respiration compared to normal hematopoietic cells. However, clinical attempts to exploit this vulnerability have been limited by on-target toxicity to healthy tissue. Here, we comprehensively compare the cellular consequences of inhibiting distinct nodes of the electron transport chain in AML. We demonstrate that selective inhibition of the F1 subunit of ATP synthase with EB2023 (ammocidin A) delivers an energetic stress to AML cells without the profound redox stress that characterizes complex I inhibition, preventing NAD/NADH imbalance and allowing continued TCA cycling. Further, the duration of OXPHOS inhibition is transient in nature in vivo, a finding revealed through pharmacokinetic and serial pharmacodynamic monitoring of AMPK phosphorylation accompanied by OPA1-mediated mitochondrial structural remodeling that primes AML cells for BCL2 inhibitor synergy. EB2023 in combination with venetoclax demonstrates potent anti-AML activity across cell lines and patient-derived xenograft models at doses that spare normal hematopoietic progenitors and avoid the neuropathy and sustained detrimental systemic metabolic rewiring in healthy tissues associated with prior efforts to target OXPHOS. These findings establish F1-selective ATP synthase inhibition as a clinically actionable therapeutic strategy in AML and establish the duration of OXPHOS inhibition as a critical and previously underappreciated determinant of therapeutic index.

cancer biology↗

bioRxiv2026

PFOS aggravates atherosclerosis via Bacteroides caecimuris expansion-driven bile acid remodeling and subsequent intestinal FXR-TLR3 signaling cascade

BACKGROUNDPerfluorooctane sulfonate (PFOS) is a widely distributed persistent organic pollutant in the environment and has been associated with an increased risk of atherosclerosis. However, the underlying pathogenic mechanisms remain largely unclear. This study aimed to investigate the effects of PFOS on atherosclerosis and its associated gut-vascular axis. METHODSPseudo-germ-free mouse models and fecal microbiota transplantation (FMT) were used to determine the role of the gut microbiota in PFOS-induced atherosclerosis. Metagenomic sequencing was performed to characterize alterations in gut microbial composition following PFOS exposure, and targeted metabolomics was used to assess bile acid profiles in the ileum and plasma. Transcriptomic analysis of Bacteroides caecimuris (B.caecimuris) was conducted to explore the reasons for the increased abundance of B.caecimuris after PFOS exposure. In addition, intestinal transcriptomics and ChIP-qPCR were performed to validate transcriptional regulation within the FXR-TLR3 signaling axis. RESULTSAmong 127 participants with paired serum and fecal samples, including 82 patients undergoing coronary angiography with Gensini scores (GS score), fecal PFOS levels were significantly associated with lipid profiles and GS score, whereas serum PFOS showed no such association.Mechanistically, PFOS exposure promotes intestinal enrichment of B.caecimuris by upregulating its tolC gene, thereby enhancing efflux capacity.This microbial shift was accompanied by reduced levels of tauro-ursodeoxycholic acid (TUDCA) and aberrant activation of intestinal FXR signaling.Further analyses demonstrated that FXR activation upregulated TLR3 expression and promoted inflammatory responses and atherosclerosis progression via the TLR3-NF-{kappa}B signaling axis. Both intestinal epithelial-specific FXR deficiency (Fxr{Delta}IE) and TUDCA supplementation significantly suppressed pathway activation and alleviated disease phenotypes.Functional experiments identified TLR3 as a key downstream effector of FXR. Overexpression of TLR3 abolished the protective effects observed in Fxr{Delta}IE mice. Moreover, pharmacological inhibition of TLR3 using CU CPT-4a significantly improved established atherosclerotic lesions in vivo. CONCLUSIONSThis study identifies a gut microbiota-driven FXR-TLR3 signaling axis that mediates PFOS-induced atherosclerosis. These findings provide new mechanistic insights into environmentally induced cardiovascular disease and suggest potential targets for risk assessment and therapeutic intervention.

pathology↗

bioRxiv2026

Aberrant ciliogenesis induced by enhanced BMP signaling causes heterotopic ossification

Bone morphogenetic protein (BMP) signaling is a principal driver of heterotopic ossification (HO), yet how aberrant BMP activity structurally reprograms cellular signaling machinery to develop HO remains unclear. Here, we identify BMP signaling as a direct upstream regulator of ciliogenesis that coordinates a multi-stage, pro-osteochondrogenic signaling relay during HO. Using a conditional gain-of-function BMP mouse model (Acvr1Q207D/+), we demonstrate that enhanced BMP signaling promotes primary cilium biogenesis and axonemal elongation through canonical Smad1/5/9-dependent transcriptional activation of intraflagellar transport (IFT) Ift20, a core component of the IFT machinery. Rather than operating via a singular downstream cascade, these elongated cilia establish a sensitized signaling hub. Genetic disruption of ciliary Hedgehog (Hh) transduction via Smoothened (Smo) deletion reveals that ciliary Hh signaling is dispensable for initial tissue condemnation but required for the subsequent proliferative expansion and maturation of HO. Conversely, complete genetic ablation of the ciliary structure via Ift20 deletion, or early pharmacological inhibition of ciliogenesis, significantly attenuates HO. Notably, this BMP-IFT20-cilia axis is functionally conserved within injury-responsive, PDGFR-positive fibro-adipogenic progenitor (FAP) populations harboring the clinically authentic Acvr1R206H/+ mutation responsible for fibrodysplasia ossificans progressiva (FOP) in mice. Together, these findings reveal that BMP signaling drives HO by structurally expanding the primary cilium, establishing a novel mechanism for HO development. SignificanceGrowth factor signaling instructs cellular behavior during tissue regeneration, but how they regulate cellular organelles to induce pathological fates remains poorly understood. This study reveals that Bone Morphogenetic Protein (BMP) signaling functions as a direct architectural regulator of the primary cilium, a critical cellular antenna. We show that BMP signaling directly transactivates intraflagellar transport machinery to structurally elongate the cilium, creating a sensitized signaling hub that drives heterotopic ossification. Our findings introduce a novel BMP-driven organelle regulation mechanism and establish a targetable cellular vulnerability to mitigate ectopic bone formation.

developmental biology↗

bioRxiv2026

Killer-cell dominance dichotomy governs tumor immune networks and stratifies inflamed cancers

Cancer immunotherapy benefits remain limited, even among "hot" tumors with high killer lymphocyte infiltration. Here, we investigated the population-level architecture of killer cells based on nearly 5,000 pan-cancer scRNA-seq samples, together with orthogonal validation by spectral cytometry and spatial transcriptomics. Unlike the prevailing "hot-cold" paradigm, which assumes coordinated infiltration of multiple cytotoxic lineages, we uncovered a conserved framework wherein terminal cytotoxic immunity in individuals or malignancies diverges into states dominated by either exhausted CD8+ T cells (Tex) or CD56dimCD16hi NK (NK1) cells. Despite the complexity of the tumor microenvironment, Tex-NK1 divergence governs the primary axis of tumor-intrinsic and tumor-extrinsic variance. Distinct from the conventional view that NK cells positively contribute to immunotherapy efficacy, NK1-skewed tumors, although highly cytolytic, are refractory to current immune checkpoint blockade regimens. This killer divergence defines a foundational axis of cancer immunity and provides a resource for prioritizing next-generation targets for NK-directed immunotherapy.

immunology↗

bioRxiv2026

Dissecting and directing pathology foundation models

Foundation models (FMs) are central to digital pathology, encoding histology images into dense embeddings for facilitating diagnostic classification, molecular alteration prediction, and clinical outcome modeling. However, the opacity of these embeddings renders FM-based systems "black boxes," limiting their trustworthiness for clinical translation and utility for scientific discovery. Here, we introduce PICASSO (Pathology Image Concept Atlas built via SparSe dictiOnary learning), a framework that makes pathology FMs interpretable and controllable. PICASSO decomposes FM embeddings into human-interpretable visual concepts using a sparse autoencoder. It is trained on more than 120 million tissue patches across 32 cancer types, producing the first pan-cancer atlas of histomorphological concepts. We demonstrate that PICASSO enables diverse downstream applications of FM embeddings by exposing interpretable structure within learned representations and supporting concept-level intervention. It enables auditing of clinical model behavior by revealing the morphological features driving predictions. Beyond transparency and validation, PICASSO enables the discovery of new biological insights; for example, it identified hobnailing epithelial morphology as a previously unrecognized biomarker of EGFR mutations in lung adenocarcinoma. By linking PICASSO-derived concepts with spatial transcriptomics, we uncover associations between morphological patterns and gene expression programs. Furthermore, PICASSO allows suppression of concepts associated with technical artifacts, thereby reducing model reliance on spurious signals. Finally, PICASSO enables controlled manipulation of learned concepts to generate counterfactual embeddings for exploratory therapeutic analysis, such as modulating tumour-infiltrating lymphocyte density to assess impacts on predict survival outcomes. Together, PICASSO provides a principled framework for transforming pathology FMs into platforms for mechanistic insight and discovery.

pathology↗

bioRxiv2026

Intra-Complex Differential Transcription Strategies for Scaffold versus Effector Proteins

Scaffold-organized multi-protein complexes are major drivers of cellular regulatory pathways, but how the expression of their constituent genes is coordinated to support efficient assembly and cell-to-cell homeostasis remains poorly understood. Using snapTotal-seq data, this study addresses this issue at the transcription level through comparative analyses of stochastic transcription bursting - a major driver of expression level and primary source of its intrinsic cell-to-cell noise. We compared scaffold proteins and their effector partners in major regulatory multi-protein complexes: TNRC6A/B/C (in the miRISC complex) and CNOT1/2 (in the CCR4-NOT complex) in mRNA regulation; and AXIN1, APC, KSR2, AKAPs, DLG1, PATJ, HOMER1/2, and SQSTM1 in signal transduction. Our analyses reveal a shared strategy: compared to genes for active effector partner proteins and the general transcriptome, genes for structural scaffold proteins consistently utilize more frequent and smaller-sized bursting to achieve the fine tuning of a homeostatic expression level. This finding establishes a fundamental link between a proteins physical role within a regulatory complex and the transcriptional bursting kinetics of its gene.

Systems Biology↗

bioRxiv2026

Estrogen-related receptor signaling counters sarcopenia and preserves exercise fitness in naturally aged mice

BackgroundEstrogen-related receptor gamma (ERR{gamma}) drives an exercise mimicking aerobic gene program in the skeletal muscle that could be beneficial in aging. We have investigated the effect of chronic ERR{gamma} activation on minimizing sarcopenia. MethodsExperiments were performed in muscle specific ERR{gamma} transgenic (TG) mice and wild type (WT) littermates, at young (4-5 months) and old (24-26 months) age. In the skeletal muscle, global gene expression changes, as well as myofiber histological changes in fiber type, size, vascular supply and neuromuscular junction (NMJ), and mitochondrial content were measured. Functional analysis was performed using in vivo muscle contraction assay. Exercise fitness was measured using treadmill sprint and endurance test. Gene and protein expression was measured using QPCR and Westerns, respectively. ResultsERR{gamma} activates a pan-ERR aerobic program in the skeletal muscle to increase expression of 574 genes including ERR, mitochondrial homeostasis (e.g. Mfn1, Opa1, Drp1, Fis1, and Tfam), vascularization (e.g. Vegfa, Angpt1, Fgf1), and neuromuscular junction (NMJ) (e.g. Nrp1, Aspa, Ptprm, Cxcr4), simultaneously suppressing the expression of atrophy related genes (e.g. Atrogin1, Traf6, Nedd4, Myd88, p21). ERR{gamma} increases mitochondrial content [Mitochondrial area: old TG vs. WT, 2.00 fold; young TG vs. WT, 1.32 fold], oxidative capacity [NADH-TR activity: old TG vs. WT, 1.20 fold; young TG vs. WT, 1.22 fold] and myofiber type [2a: old TG (687{+/-}258) vs. WT (252{+/-}71); young TG (797{+/-}168) vs. WT (440{+/-}76); 2x: old TG 1348{+/-}87 vs. WT 976{+/-}219; young TG 1131{+/-}135 vs. WT 936{+/-}84; 2b: old TG (798{+/-}103) vs. WT (1628{+/-}148); young TG (967{+/-}133) vs. WT (1623{+/-}189)], and capillarity [capillary-to-myofiber ratio: old TG (3.25{+/-}0.19) vs. WT (2.41{+/-}0.16); young TG (3.41{+/-}0.21) vs WT (2.59{+/-}0.2)] and [NMJ number [old TG (67{+/-}8) vs. WT (40{+/-}9); young TG (77{+/-}11) vs WT (77{+/-}7)], mitigating age-related loss of NMJ and myofiber cross-sectional area [old TG (1570{+/-}147{micro}m2) vs. WT (1692.5{+/-}208{micro}m2) WT; young TG (1828.15{+/-}132.8{micro}m2) vs. WT (2109.7{+/-}296.8{micro}m2)]. ERR{gamma} overexpression preserves muscle contractility with aging [Fatigue resistance: 22.72% reduction in force in old vs. young WT; 3.11% reduction in force between old vs. young TG]. Furthermore, ERR{gamma} maintains exercise fitness in old mice [Running: old TG (2964.52{+/-}405m) vs. old WT (910.75{+/-}6034m); young TG (2232.43{+/-}193.64m) vs. young WT (1366.76{+/-}60.76m)]. ConclusionsERR{gamma} drives a pan-ERR and counter sarcopenic gene program enhancing oxidative myofiber type, mitochondrial content, vasculature, and NMJ in aging muscle. Consequently, ERR{gamma} minimizes myofiber atrophy, preserves contractility, and improves exercise fitness in old mice. Therefore, ERRs are potential translational targets for combating sarcopenia.

physiology↗

bioRxiv2026

ACC1-Dependent De Novo Lipogenesis Sustains Hematopoietic Stem Cell Quiescence and Self-Renewal

Certain aspects of lipid metabolism are known to regulate hematopoietic stem cell (HSC) function, including fatty acid oxidation and lipid uptake, but there is a limited understanding of the contribution of de novo fatty acid synthesis to HSC homeostasis. Here, we show that endogenous fatty acid synthesis is essential for HSC function. Conditional deletion of Acaca, the gene that encodes the rate-limiting enzyme for de novo fatty acid synthesis, acetyl-CoA carboxylase 1 (ACC1), in hematopoietic cells profoundly reduces HSC function, marked by a reduced ability to reconstitute irradiated mice after competitive transplantation. ACC1 deficiency reduced quiescence, increased uptake of extracellular lipids, and increased reactive oxygen species in HSCs. The loss of HSC function is partly caused by increased fatty acid oxidation as deletion of CPT1a, which is required for long-chain fatty acid oxidation, partially rescued HSC function. A balance between fatty acid synthesis and fatty acid oxidation is thus critical for the maintenance of HSC function.

cell biology↗

bioRxiv2026

Modeling development of tertiary lymphoid structures in pulmonary tuberculosis by 3D profiling and trajectory analysis

Tertiary lymphoid structures (TLSs) are sites of immune organization in peripheral tissues that arise from chronic inflammation. They play important roles in infection control and cancer but the mechanisms controlling their formation remain only partly understood. Here, we combine high-plex imaging, serial-section 3D reconstruction, and optimal transport trajectory modeling to reconstruct TLSs in human lungs infected with Mycobacterium tuberculosis. We find that the extended and irregular shape of TLSs is poorly captured by 2D histopathology or spatial profiling, making assessment of developmental stage (early, primary, or secondary) error prone. In contrast, modeling TLS development in 3D using optimal transport reveals two trajectories that differ in the timing and coordination of follicular dendritic cell association, germinal center consolidation, and position within the tissue. These findings highlight the value of volumetric analysis in understanding immune organization and provide new insights into TLS biology. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=98 SRC="FIGDIR/small/725201v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@11b4daorg.highwire.dtl.DTLVardef@7871feorg.highwire.dtl.DTLVardef@1840c2dorg.highwire.dtl.DTLVardef@3b6028_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LI3D reconstruction of TB-infected lung reveals TLSs to be extended, heterogeneous structures that are frequently misclassified in 2D C_LIO_LITLS maturation follows continuous trajectories rather than discrete histological stages C_LIO_LIOptimal transport modeling identifies distinct maturation paths with divergent follicular dynamics C_LIO_LIGerminal center organization and Tfh-FDC interactions emerge along maturation trajectories C_LIO_LITLS maturation states are shaped by spatially localized microenvironmental niches. C_LI

immunology↗

bioRxiv2026

Compositional and interpretable representation of histology using AI foundation models and sparse autoencoders

Light microscopy of tissue sections stained with hematoxylin and eosin (H&E) has been the foundation of histopathology for over 150 years and remains essential for diagnosis and research. The development of high-plex spatial profiling approaches able to measure protein and RNA expression at single-cell resolution augments but does not replace H&E imaging, even in research. Computational pathology (CPath) models based on deep learning promise to further increase the value of H&E imaging but interpreting these models in biological terms remains challenging. As a result, they are not widely used in spatial profiling studies. Here we describe a human-in-the-loop computational framework that leverages CPath foundation models (FMs) and sparse autoencoders (SAEs) to decompose FM embeddings and automatically identify diverse, human-interpretable histopathology features in H&E images. When FM-SAE modeling was applied to pulmonary diseases such as tuberculosis and lung cancer, human-machine interaction augmented and accelerated expert interpretation. Moreover, the resulting annotations provide a morphology-aware approach to integrating 2D and 3D mesoscale tissue architectures with molecular spatial profiling.

bioinformatics↗