Biology subjects

Lim, S. H.

Publications and source records attributed to Lim, S. H..

7 recordsLinked to original sources

bioRxiv2026

Bispecific Antibody Architecture and TNFRSF Target Selection Determine CD8+ T Cell Differentiation and Anti-tumour Immunity

Tumour necrosis factor receptor superfamily (TNFRSF)-targeting bispecific antibodies (bsAb) enable tumour-localised T cell co-stimulation, yet how antibody architecture and receptor choice govern activity remains unclear. Here we define how bsAb format and TNFRSF target selection shape CD8+ T cell responses and anti-tumour immunity. Using B7-H3 as a tumour-associated antigen, we show that dual-bivalent 2x2 bsAb elicit maximal agonistic activity, whereas the corresponding monovalent 1x1 format is least active. A 2x1 format retaining TNFRSF bivalency but monovalent B7-H3 binding preserves substantial activity, identifying co-stimulatory receptor bivalency as a key determinant of efficacy. Across TNFRSF targets, 4-1BB drives the strongest cytotoxic CD8+ T cell differentiation and anti-tumour response. This superiority is conserved in human T cells and reproduced by cognate ligands, indicating that the observed functional hierarchy reflects receptor-intrinsic biology. Mechanistically, efficacy requires tumour-associated B7-H3 and T cell-dependent 4-1BB signalling. Together, these findings establish general principles linking antibody architecture and receptor biology to co-stimulatory bsAb efficacy and provide a framework for rational design leading to optimal therapeutics.

immunology↗

bioRxiv2024

Changes in the cellular composition of the endometrium during the implantation window are associated with recurrent pregnancy loss

Recurrent pregnancy loss (RPL) affects 1-2% of women trying to conceive, yet in many cases the causes remain unclear. Endometrial function is central to the establishment and maintenance of pregnancy, and endometrial dysfunction may underlie RPL. A greater understanding of the endometrial cell populations and their interactions in women with and without RPL may identify markers of endometrial receptivity and the likelihood of pregnancy success. Single cell RNA sequencing was performed on RPL (n = 3) and control (n = 4) endometrial biopsies collected at days 21-24 of the menstrual cycle, the window of implantation. 10,022 cells were clustered and nine major individual cell types were characterised. Further analysis identified six distinct endometrial stromal cell (EnSCs) and three natural killer (NK) cell sub-populations. In RPL, there were changes in the abundance of specific endometrial stromal and NK cell subpopulations with associated differences in cellular communication between the cell types related to the Wnt pathway and angiogenesis. This is consistent with NK cell signalling orchestrating the difference in abundance of stromal cells and regulating processes needed for successful implantation. These changes in RPL endometrium provide further evidence for an endometrial cause of RPL and identify specific mechanisms for future study.

genomics↗

bioRxiv2022

16S rRNA sequencing for profiling microbial communities in idiopathic granulomatous mastitis

BackgroundIdiopathic granulomatous mastitis (IGM) is a rare, chronic, and benign inflammatory breast disease with ambiguous aetiology. Contrastingly, lactational mastitis (LM) is commonly diagnosed in breastfeeding women. To investigate IGM aetiology, we profiled the microbial flora of pus and skin in IGM and LM patients. MethodsIGM patients were recruited from 2018 to 2020; LM patients were recruited as controls. 16S rRNA sequencing libraries were constructed from 16S rRNA gene amplified from total DNA extracted from pus and skin swabs. Metagenomic analysis was conducted using modified microbiome abundance analysis-suite customised R-resource for paired pus and skin samples. Microbiome multivariable association analyses were performed using linear models. Results21 IGM and 3 LM paired pus and skin samples underwent metagenomic analysis. Bray-Curtis ecological dissimilarity distance showed dissimilarity across four sample types (IGM-pus, IGM-skin, LM-pus, LM-skin; PERMANOVA, p<0.001). No characteristic dominant genus was observed across IGM samples. IGM pus samples were more diverse than corresponding IGM skin samples (Shannon and Simpson index; Wilcoxon paired signed-rank tests, p=0.022 and p=0.07). Corynebacterium kroppenstedtii, reportedly associated with IGM in literature, was higher in IGM pus samples than paired skin sample (Wilcoxon, p=0.022). Three other species and nineteen genera were statistically significant in paired IGM pus-skin comparison after antibiotic treatment adjustment, and multiple comparisons correction. ConclusionsMicrobial profiles are unique between IGM and LM patients. Inter-patient variability and polymicrobial IGM pus samples cannot implicate specific genus or species as an infectious cause for IGM.

microbiology↗

bioRxiv2020

Highly functional virus-specific cellular immune response in asymptomatic SARS-CoV-2 infection

The efficacy of virus-specific T cells in clearing pathogens involves a fine balance between their antiviral and inflammatory features. SARS-CoV-2-specific T cells in individuals who clear SARS-CoV-2 infection without symptoms or disease could reveal non-pathological yet protective characteristics. We therefore compared the quantity and function of SARS-CoV-2-specific T cells in a cohort of asymptomatic individuals (n=85) with that of symptomatic COVID-19 patients (n=76), at different time points after antibody seroconversion. We quantified T cells reactive to structural proteins (M, NP and Spike) using ELISpot assays, and measured the magnitude of cytokine secretion (IL-2, IFN-{gamma}, IL-4, IL-6, IL-1{beta}, TNF- and IL-10) in whole blood following T cell activation with SARS-CoV-2 peptide pools as a functional readout. Frequencies of T cells specific for the different SARS-CoV-2 proteins in the early phases of recovery were similar between asymptomatic and symptomatic individuals. However, we detected an increased IFN-{gamma} and IL-2 production in asymptomatic compared to symptomatic individuals after activation of SARS-CoV-2-specific T cells in blood. This was associated with a proportional secretion of IL-10 and pro-inflammatory cytokines (IL-6, TNF- and IL-1{beta}) only in asymptomatic infection, while a disproportionate secretion of inflammatory cytokines was triggered by SARS-CoV-2-specific T cell activation in symptomatic individuals. Thus, asymptomatic SARS-CoV-2 infected individuals are not characterized by a weak antiviral immunity; on the contrary, they mount a robust and highly functional virus-specific cellular immune response. Their ability to induce a proportionate production of IL-10 might help to reduce inflammatory events during viral clearance.

immunology↗

bioRxiv2020

Quantitative single cell heterogeneity profiling of patient derived tumor initiating gliomaspheres reveals unique signatures of malignancy and response

BackgroundGlioblastoma is a deadly brain tumor with median patient survival of 14.6 months. At the core of this malignancy are rare, highly heterogenous malignant stem-like tumor initiating cells. Aberrant signaling across the EGFR-PTEN-AKT-mTOR signal transduction pathways are common oncogenic drivers in these cells. Though gene-level clustering has determined the importance of the EGFR signaling pathway as a treatment indicator, multiparameter protein-level analyses are necessary to discern functional attributes of signal propagation. Multiparameter single cell analyses is emerging as particularly useful in identifying such attributes. MethodsSingle cell targeted proteomic analysis of EGFR-PTEN-AKT-mTOR proteins profiled heterogeneity in a panel of fifteen patient derived gliomaspheres. A microfluidic cell array chip tool served as a low cost methodology to derive high quality quantitative single cell analytical outputs. Chip design specifications produced extremely high signal-to-noise ratios and brought experimental efficiencies of cell control and minimal cell use to accommodate experimentation with these rare and often slow-growing cell populations. Quantitative imaging software generated datasets to observe similarities and differences within and between cells and patients. Bioinformatic self-organizing maps (SOMs) and hierarchical clustering stratified patients into malignancy and responder groups which were validated by phenotypic and statistical analyses. ResultsFifteen patient dissociated gliomaspheres produced 59,464 data points from 14,866 cells. Forty-nine molecularly defined signaling phenotypes were identified across samples. Bioinformatics resolved two clusters diverging on EGFR expression (p = 0.0003) and AKT/TORC1 activation (p = 0.08 and p = 0.09 respectively). TCGA status of a subset showed genetic heterogeneity with proneural, classical and mesenchymal subtypes represented in both clusters. Phenotypic validation measures indicated drug responsive phenotypes to EGFR blocking were found in the EGFR expressing cluster. EGFR expression in the subset of drug-treated lines was statistically significant (p<.05). The EGFR expressing cluster was of lower tumor initiating potential in comparison to the AKT/TORC1 activated cluster. Though not statistically significant, EGFR expression trended with improved patient prognosis while AKT/TORC1 activated samples trended with poorer outcomes. ConclusionsQuantitative single cell heterogeneity profiling resolves signaling diversity into meaningful non-obvious phenotypic groups suggesting EGFR is decoupled from AKT/TORC1 signalling while identifying potentially valuable targets for personalized therapeutic approaches for deadly tumor-initiating cell populations.

cancer biology↗

bioRxiv2019

Heart Rate n-Variability (HRnV) and Its Application to Risk Stratification of Chest Pain Patients in the Emergency Department

BackgroundChest pain is one of the most common complaints among patients presenting to the emergency department (ED). Causes of chest pain can be benign or life threatening, making accurate risk stratification a critical issue in the ED. In addition to the use of established clinical scores, prior studies have attempted to create predictive models with heart rate variability (HRV). In this study, we proposed heart rate n-variability (HRnV), an alternative representation of beat-to-beat variation in electrocardiogram (ECG) and investigated its association with major adverse cardiac events (MACE) for ED patients with chest pain. MethodsWe conducted a retrospective analysis of data collected from the ED of a tertiary hospital in Singapore between September 2010 and July 2015. Patients >20 years old who presented to the ED with chief complaint of chest pain were conveniently recruited. Five to six-minute single-lead ECGs, demographics, medical history, troponin, and other required variables were collected. We developed the HRnV-Calc software to calculate HRnV parameters. The primary outcome was 30-day MACE, which included all-cause death, acute myocardial infarction, and revascularization. Univariable and multivariable logistic regression analyses were conducted to investigate the association between individual risk factors and the outcome. Receiver operating characteristic (ROC) analysis was performed to compare the HRnV model (based on leave-one-out cross-validation) against other clinical scores in predicting 30-day MACE. ResultsA total of 795 patients were included in the analysis, of which 247 (31%) had MACE within 30 days. The MACE group was older and had a higher proportion of male patients. Twenty-one conventional HRV and 115 HRnV parameters were calculated. In univariable analysis, eleven HRV parameters and 48 HRnV parameters were significantly associated with 30-day MACE. The multivariable stepwise logistic regression identified 16 predictors that were strongly associated with the MACE outcome; these predictors consisted of one HRV, seven HRnV parameters, troponin, ST segment changes, and several other factors. The HRnV model outperformed several clinical scores in the ROC analysis. ConclusionsThe novel HRnV representation demonstrated its value of augmenting HRV and traditional risk factors in designing a robust risk stratification tool for patients with chest pain at the ED.

bioengineering↗

bioRxiv2017

Kinesin-6 KIF20B is required for efficient cytokinetic furrowing and timely abscission in human cells

Cytokinesis requires the cooperation of many cytoskeletal and membrane regulators. Most of the major players required for cytokinesis are known, but the temporal regulation and adaptations for different cell types are less understood. KIF20B (previously called MPHOSPH1 or MPP1) is a member of the Kinesin-6 family, which also includes the better-known members KIF23/MKLP1 and KIF20A/MKLP2. Previously, we showed that mouse Kif20b is involved in cerebral cortex growth and midbody organization of neural stem cells. Here we show that KIF20B has a cell-autonomous role in cytokinesis in isolated human cells. It localizes to microtubules of the central spindle and midbody throughout cytokinesis, at sites distinct from the other Kinesin-6 family members. KIF20B is not required for central spindle or midbody assembly, but affects midbody shape and late maturation steps. KIF20B appears to temporally regulate both furrow ingression and abscission.

cell biology↗