Single-cell Transcriptomics Research Articles

Sphingolipids in prostate cancer prognosis: integrating single-cell and bulk sequencing.

Stratifying patient risk and exploring the tumor microenvironment are critical endeavors in prostate cancer research, essential for advancing our understanding and management of this disease. Single-cell sequencing data for prostate cancer were sourced from the pradcellatlas website, while bulk transcriptome data were obtained from the TCGA database. Dimensionality reduction cluster analysis was employed to investigate heterogeneity in single-cell sequencing data. Gene set enrichment analysis, utilizing GO and KEGG pathways, was conducted to explore functional aspects. Weighted gene coexpression network analysis (WGCNA) identified key gene modules. Prognostic models were developed using Cox regression and LASSO regression techniques, implemented in R software. Validation of key gene expression levels was performed via PCR assays. Through integrative analysis of single-cell and bulk transcriptome data, key genes implicated in prostate cancer pathogenesis were identified. A prognostic model focused on sphingolipid metabolism (SRSR) was constructed, comprising five genes: "FUS," "MARK3," "CHTOP," "ILF3," and "ARIH2." This model effectively stratified patients into high-risk and low-risk groups, with the high-risk cohort exhibiting significantly poorer prognoses. Furthermore, distinct differences in the immune microenvironment were observed between these groups. Validation of key gene expression, exemplified by ILF3, was confirmed through PCR analysis. This study contributes to our understanding of the role of sphingolipid metabolism in prostate cancer diagnosis and treatment. The identified prognostic model holds promise for improving risk stratification and patient outcomes in clinical settings.

Comprehensive single-cell analysis deciphered microenvironmental dynamics and immune regulator olfactomedin 4 in pathogenesis of gallbladder cancer

ObjectiveElucidating complex ecosystems and molecular features of gallbladder cancer (GBC) and benign gallbladder diseases is pivotal to proactive cancer prevention and optimal therapeutic intervention.DesignWe performed single-cell transcriptome analysis on 230 ...

Single-Cell Transcriptome Landscape and Cell Fate Decoding in Human Brain Organoids after Transplantation.

Human stem cells and derivatives transplantation are widely used to treat nervous system diseases, while the fate determination of transplanted cells is not well elucidated. To explore cell fate changes of human brain organoids before and after transplantation, human brain organoids are transplanted into prefrontal cortex (PFC) and hippocampus (HIP), respectively. Single-cell sequencing is then performed. According to time-series sample comparison, transplanted cells mainly undergo neural development at 2 months post-transplantation (MPT) and then glial development at 4MPT, respectively. A different brain region sample comparison shows that organoids grafted to PFC have obtained cell fate close to those of host cells in PFC, other than HIP, which may be regulated by the abundant expression of dopamine (DA) and acetylcholine (Ach) in PFC. Meanwhile, morphological complexity of human astrocyte grafts is greater in PFC than in HIP. DA and Ach both activate the calcium activity and increase morphological complexity of astrocytes in vitro. This study demonstrates that human brain organoids receive host niche factor regulation after transplantation, resulting in the alignment of grafted cell fate with implanted brain regions, which may contribute to a better understanding of cell transplantation and regenerative medicine.

Single-cell transcriptome revealed dysregulated RNA-binding protein expression patterns and functions in human ankylosing spondylitis

Single-cell transcriptome revealed dysregulated RNA-binding protein expression patterns and functions in human ankylosing spondylitis

A review of single-cell transcriptomics and epigenomics studies in maternal and child health.

Single-cell sequencing technologies enhance our understanding of cellular dynamics throughout pregnancy. We outlined the workflow of single-cell sequencing techniques and reviewed single-cell studies in maternal and child health. We conducted a literature review of single cell studies on maternal and child health using PubMed. We summarized the findings from 16 single-cell atlases of the human and mammalian placenta across gestational stages and 31 single-cell studies on maternal exposures and complications including infection, obesity, diet, gestational diabetes, pre-eclampsia, environmental exposure and preterm birth. Single-cell studies provides insights on novel cell types in placenta and cell type-specific marks associated with maternal exposures and complications.

Differential expression of small bowel TGFβ1 and TGFβ3 characterizes intestinal strictures in patients with fibrostenotic Crohn's disease.

Small bowel strictures remain a debilitating consequence of Crohn's disease and contribute to poor outcomes for patients. Recently, TGFβ has been identified as an important driver of intestinal fibrosis. We studied the localization of TGFβ isoforms in ileal strictures of patients with Crohn's disease using in situ hybridization to understand TGFβ's role in stricture formation. The mucosa of strictures was characterized by higher TGFβ1 while the stricture submucosa showed higher TGFβ3 compared to normal ileum from patients without Crohn's disease (p = 0.02 and p = 0.044, respectively). We correlated these findings with single-cell transcriptomics which demonstrated that TGFβ3 transcripts overall are very rare, which may partially explain why its role in intestinal fibrosis has remained unclear to date. There were no significant differences in fibroblast or B cell TGFβ1 and/or TGFβ3 expression in inflamed vs. noninflamed ileum. We discuss the implications of these findings for therapeutic development strategies to treat patients with fibrostenotic Crohn's disease.

Ependymal cells undergo astrocyte-like reactivity in response to neuroinflammation.

Ependymal cells form a specialized brain-cerebrospinal fluid (CSF) interface and regulate local CSF microcirculation. It is becoming increasingly recognized that ependymal cells assume a reactive state in response to aging and disease, including conditions involving hypoxia, hydrocephalus, neurodegeneration, and neuroinflammation. Yet what transcriptional signatures govern these reactive states and whether this reactivity shares any similarities with classical descriptions of glial reactivity (i.e., in astrocytes) remain largely unexplored. Using single-cell transcriptomics, we interrogated this phenomenon by directly comparing the reactive ependymal cell transcriptome to the reactive astrocyte transcriptome using a well-established model of autoimmune-mediated neuroinflammation (MOG35-55 EAE). In doing so, we unveiled core glial reactivity-associated genes that defined the reactive ependymal cell and astrocyte response to MOG35-55 EAE. Interestingly, known reactive astrocyte genes from other CNS injury/disease contexts were also up-regulated by MOG35-55 EAE ependymal cells, suggesting that this state may be conserved in response to a variety of pathologies. We were also able to recapitulate features of the reactive ependymal cell state acutely using a classic neuroinflammatory cocktail (IFNγ/LPS) both invitro and invivo. Taken together, by comparing reactive ependymal cells and astrocytes, we identified a conserved signature underlying glial reactivity that was present in several neuroinflammatory contexts. Future work will explore the mechanisms driving ependymal reactivity and assess downstream functional consequences.

A human neural crest model reveals the developmental impact of neuroblastoma-associated chromosomal aberrations

Early childhood tumours arise from transformed embryonic cells, which often carry large copy number alterations (CNA). However, it remains unclear how CNAs contribute to embryonic tumourigenesis due to a lack of suitable models. Here we employ female human embryonic stem cell (hESC) differentiation and single-cell transcriptome and epigenome analysis to assess the effects of chromosome 17q/1q gains, which are prevalent in the embryonal tumour neuroblastoma (NB). We show that CNAs impair the specification of trunk neural crest (NC) cells and their sympathoadrenal derivatives, the putative cells-of-origin of NB. This effect is exacerbated upon overexpression of MYCN, whose amplification co-occurs with CNAs in NB. Moreover, CNAs potentiate the pro-tumourigenic effects of MYCN and mutant NC cells resemble NB cells in tumours. These changes correlate with a stepwise aberration of developmental transcription factor networks. Together, our results sketch a mechanistic framework for the CNA-driven initiation of embryonal tumours.

Integrative analyses of bulk and single-cell transcriptomics reveals the infiltration and crosstalk of cancer-associated fibroblasts as a novel predictor for prognosis and microenvironment remodeling in intrahepatic cholangiocarcinoma

BackgroundIntrahepatic cholangiocarcinoma (ICC) is a highly malignant neoplasm and characterized by desmoplastic matrix. The heterogeneity and crosstalk of tumor microenvironment remain incompletely understood.MethodsTo address this gap, we performed Weighted Gene Co-expression Network Analysis (WGCNA) to identify and construct a cancer associated fibroblasts (CAFs) infiltration biomarker. We also depicted the intercellular communication network and important receptor-ligand complexes using the single-cell transcriptomics analysis of tumor and Adjacent normal tissue.ResultsThrough the intersection of TCGA DEGs and WGCNA module genes, 784 differential genes related to CAFs infiltration were obtained. After a series of regression analyses, the CAFs score was generated by integrating the expressions of EVA1A, APBA2, LRRTM4, GOLGA8M, BPIFB2, and their corresponding coefficients. In the TCGA-CHOL, GSE89748, and 107,943 cohorts, the high CAFs score group showed unfavorable survival prognosis (p < 0.001, p = 0.0074, p = 0.028, respectively). Additionally, a series of drugs have been predicted to be more sensitive to the high-risk group (p < 0.05). Subsequent to dimension reduction and clustering, thirteen clusters were identified to construct the single-cell atlas. Cell-cell interaction analysis unveiled significant enhancement of signal transduction in tumor tissues, particularly from fibroblasts to malignant cells via diverse pathways. Moreover, SCENIC analysis indicated that HOXA5, WT1, and LHX2 are fibroblast specific motifs.ConclusionsThis study reveals the key role of fibroblasts - oncocytes interaction in the remodeling of the immunosuppressive microenvironment in intrahepatic cholangiocarcinoma. Subsequently, it may trigger cascade activation of downstream signaling pathways such as PI3K-AKT and Notch in tumor, thus initiating tumorigenesis. Targeted drugs aimed at disrupting fibroblasts-tumor cell interaction, along with associated enrichment pathways, show potential in mitigating the immunosuppressive microenvironment that facilitates tumor progression.

A blueprint for tumor-infiltrating B cells across human cancers.

B lymphocytes are essential mediators of humoral immunity and play multiple roles in human cancer. To decode the functions of tumor-infiltrating B cells, we generated a B cell blueprint encompassing single-cell transcriptome, B cell-receptor repertoire, and chromatin accessibility data across 20 different cancer types (477 samples, 269 patients). B cells harbored extraordinary heterogeneity and comprised 15 subsets, which could be grouped into two independent developmental paths (extrafollicular versus germinal center). Tumor types grouped into the extrafollicular pathway were linked with worse clinical outcomes and resistance to immunotherapy. The dysfunctional extrafollicular program was associated with glutamine-derived metabolites through epigenetic-metabolic cross-talk, which promoted a T cell-driven immunosuppressive program. These data suggest an intratumor B cell balance between extrafollicular and germinal-center responses and suggest that humoral immunity could possibly be harnessed for B cell-targeting immunotherapy.

A single cell atlas of sexual development in Plasmodium falciparum.

The developmental decision made by malaria parasites to become sexual underlies all malaria transmission. Here, we describe a rich atlas of short- and long-read single-cell transcriptomes of over 37,000 Plasmodium falciparum cells across intraerythrocytic asexual and sexual development. We used the atlas to explore transcriptional modules and exon usage along sexual development and expanded it to include malaria parasites collected from four Malian individuals naturally infected with multiple P. falciparum strains. We investigated genotypic and transcriptional heterogeneity within and among these wild strains at the single-cell level, finding differential expression between different strains even within the same host. These data are a key addition to the Malaria Cell Atlas interactive data resource, enabling a deeper understanding of the biology and diversity of transmission stages.

Abstract PO1-25-06: Integrated analysis of single-cell RNA and VDJ-sequencing data to identify T cell marker expressed on antigen-specific T cells

Abstract Background In recent years, the advancement of adoptive cell transfer-based immunotherapies has significantly contributed to the evolution of cancer treatment. The crucial step in achieving successful treatment lies in the identification of T cells that exhibit reactivity towards tumor-specific antigens. However, the heterogeneous composition of tumor antigen-specific T cells poses a challenge as there are no standardized biomarkers available for their identification. To overcome this limitation, we investigated alternative approaches, employing single cell RNA and VDJ sequencing to identify antigen-specific T cells. Methods First, peripheral blood mononuclear cells (PBMCs) obtained from healthy human donors were stained with carboxyfluorescein succinimidyl ester (CFSE) to facilitate the identification of proliferating antigen-specific T cells. Then the PBMCs were exposed to 1 ug/ml of CMV pp65 peptide. After a 2-day incubation period with the CMV peptide, interleukin-2 (IL-2) was administered to stimulate T cell expansion. At various time points (0, 1, 2, 3, 5, and 7 days) following the CMV peptide treatment, CD8+ T cells were isolated through fluorescence-activated cell sorting (FACS) analysis. On day 7, the CD8+ T cells were further segregated into CFSE- and CFSE+ cell populations. The single-cell transcriptomes and T cell receptor (TCR) repertoire of the CD8+ T cells were subsequently examined using the Chromium Single Cell Reagent Kit. Results The TCR repertoire analysis of CD8+ CFSE- T cells revealed the dominance of 10 major clones, accounting for 93.9% of the total cells. These clones were confirmed to be CMV-specific through various in vitro assays, including NFAT-luciferase, IFN-γ ELISA, and cytotoxicity assay. In contrast, CD8+ CFSE+ T cells did not exhibit significant overlap with the major TCR clones found in CFSE- CD8+ T cells, comprising only 0.02% of the total cells. Gene set enrichment analysis demonstrated that the upregulated genes in CFSE- CD8+ T cells, when compared to CFSE+ T cells, were related to cell cycle proliferation and T cell cytotoxicity. Furthermore, these genes exhibited a matching upregulation pattern with CFSE- T cells from another batch of the same donor, as well as from two other healthy donors. In addition, there was a moderate increase in the expression of the upregulated genes in CFSE- CD8+ T cells at day 3 compared to day 0-2. In this end, we selected a set of nine genes that were consistently upregulated in CFSE- CD8+ T to serve as markers for antigen-specific T cells, employing a logistic regression model. This gene set showed high sensitivity (97.7%) and specificity (95.6%) in identifying T cell clones that respond to CMV antigen at day 3. Conclusions We have discovered potential markers for antigen-specific CD8+ T cells. These results can offer the promising opportunity for earlier isolation of T cells that exhibit reactivity towards tumor-specific antigens. This breakthrough has significant implications, as it can potentially contribute to cost savings in adoptive cell transfer-based immunotherapies. Citation Format: Byung-Kwan Jeong, Young-Ae Kim, Jungwook Park, Baknoon Ham, Jiheyong Kim, Chae Lyul Lim, Hee Jin Lee. Integrated analysis of single-cell RNA and VDJ-sequencing data to identify T cell marker expressed on antigen-specific T cells [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-25-06.

Abstract PO2-13-04: Single cell characterization of senescent CD8+ T cell promotes immunotherapy resistance in early-stage triple-negative breast cancer

Abstract Background: Immune checkpoint blockade (ICB) has been explored in triple-negative breast cancer (TNBC) and has been proven to improve patient survival in advanced TNBCs (IMpassion130) or increase the pathological complete response rate in early TNBCs (KEYNOTE522). However, ICB could only benefit a subset of patients, highlighting the urgent need to optimize patient selection. Unlike in advanced TNBCs, a predictive biomarker for ICB in early TNBCs is still lacking. The main reason might be that previous studies neglected the heterogeneity of tumor ecosystems between early and advanced TNBCs. There is an urgent need to understand the unique ecosystem of early-stage TNBC and develop biomarkers for precision immunotherapy. Objective: This study aims to characterize the micro-loop associated with the immune efficacy of early TNBC, so as to explain the mechanisms behind the differences in early and late efficacy markers, identify efficacy markers in early TNBC immunotherapy, and search for clinical targeting strategies to sensitize TNBC for neoadjuvant therapy. Methods: We conducted an in-depth analysis of 32 single-cell transcriptomes, comprising 26 early-stage TNBC enrolled in prospective clinical trials (NCT04418154 and NCT04613674), receiving neoadjuvant chemotherapy alone (n=8) or combined with anti-PD1 (n=18), and 6 advanced TNBC. We analyzed the microenvironmental differences between early and advanced tumors, and between different treatment response groups in early stages, and identified a subpopulation of cells specific to early stages and associated with immunotherapeutic efficacy. We used mIHC, flow-through, and validated the presence of this cell in clinical samples. We also explored its predictive performance on four independent cohorts of TNBCs with ICB treatment (GSE194040, NCT04129996, GSE169246, GSE124821). Furthermore, to understand the impact of ISG+ T cells on immunotherapy efficacy and explore targeting strategies, we employed a multi-faceted approach to assess their tumor-killing ability, response to Anti-PD1 treatment, and sensitization effect of drugs targeting ISG+ T cells. ISG+ T cells were sorted using flow cytometry for further experiment. In vitro, we established a co-culture model of primary TNBC patients-derived organoid (PDO) and tumor infiltrated CD8+T cells and evaluated the tumor cell viability as well as T cell cytotoxicity. In vivo, we established TS/A tumor cell bearing BalB/c mouse and E0771 tumor cell-bearing C57BL mouse and measured tumor size and tumor microenvironment by flow cytometry. Results: We obtained 236,017 high-quality cells and identified cell subsets across 32 samples with different stages, treatments and responses. We then uncovered an enriched subset of interferon-induced (ISG+) CD8+ T cells specific to early TNBC, serving as a predictive factor for ICB resistance. Mechanistically, the upregulation of the IFN pathway in early-stage TNBC triggers a transition in ISG+ CD8+ T cells, resulting in cellular senescence, diminished cytotoxicity, and impaired response to ICB. Encouragingly, we made a noteworthy discovery that Nicotinamide mononucleotide, an anti-aging drug, effectively restores the functionality of ISG+ CD8+ T cells, amplifying immunotherapy sensitivity. Conclusions: This study provided a comprehensive single-cell transcriptome atlas of early-stage TNBC and depicted stage-related ISG+CD8+ T cell for predicting ICB response in early TNBC. We emphasize the critical role of T cell dysfunction prompted by cellular senescence in driving ICB resistance during the early stages of TNBC and propose an approach for sensitizing immunotherapy with aging drugs. Citation Format: Tong Fu, Yi-Yu Chen, Xi Jin, Yi-Zhou Jiang, Zhi-Ming Shao. Single cell characterization of senescent CD8+ T cell promotes immunotherapy resistance in early-stage triple-negative breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-13-04.

Abstract PO4-13-09: Paclitaxel affects the efficacy of PD-1 blockade by interfering with lipid metabolism reprogramming in patients with breast cancer

Abstract Background: The question of how chemotherapeutic drugs affect the efficacy of PD-1/PD-L1 antibodies in patients with breast cancer is still pending. In a previously single-cell sequencing study, we have demonstrated that paclitaxel reduces the level of CXCL13+ T cells and other immune cells critical for atezolizumab to work, leading to inferior efficacy of atezolizumab in triple negative breast cancer (TNBC). How paclitaxel affects these important immune cells remains obscure. Recently, plasma metabolomic and proteomics analysis have shown that patients’ systemic metabolic signatures is correlated with the response of PD-1/PD-L1 antibody. As such, understanding the differential metabolic influences of the diverse chemotherapeutic drugs that comprise an immune response to TNBC offers an opportunity to appropriately select chemotherapeutic backbones for ICIs. Methods: We collected pre- and post-treatment plasma samples from breast cancer patients for metabolomic and proteomic analysis, including four patient cohorts: two independent cohorts (discovery cohort and validation cohort) in which patients were treated with ICIs, one cohort in which patients were treated with paclitaxel, and one cohort of patients treated with nab-paclitaxel. Patients were divided into responder group (R, tumor shrinkage) or non-responder group (NR, tumor increase) according to the change in tumor size after treatment relative to baseline. This was followed by integrating metabolomics and proteomics with single-cell transcriptome, along with in vitro experiments, to shed light on the mechanisms of action leading to ICIs resistance in breast cancer patients. Results: In the discovery cohort, the metabolites that mostly differed between the R and NR groups at baseline were lysoglycerophospholipids. These results were further validated in the validation cohort of patients. The dynamic changes of lysoglycerophospholipids were still significantly different between the R and the NR groups after ICIs treatment in the discovery cohort. It’s worth noting that the level of lysophosphatidylcholines (LPCs), the most prominent lysoglycerophospholipids, increased significantly in the R group, while no significant changes among LPCs were found in the NR group after ICIs treatment. In the validation cohort, the median PFS of LPClow patients was 1.8 months versus 6.8 months in the LPChigh group (P = 0.0068). After one cycle of paclitaxel treatment, the metabolic status of patients changed dramatically, especially the levels of lipids. It is notable that most LPCs were significantly downregulated after paclitaxel treatment. However, in patients who received nab-paclitaxel, few significantly changed lipids were detected after one cycle nab-paclitaxel treatment compared with their baseline conditions. Interestingly, the levels of LPCs were upregulated after one cycle nab-paclitaxel treatment, but decreased after paclitaxel treatment. Single-cell omics results showed that in patients' PBMCs, CXCR4+ NK cells were the most closely related to plasma LPC levels, while FGFBP2+ NK cells were in the tumor microenvironment. We isolated and expanded NK cells from PBMCs for in vitro experiments, and found that LPC stimulation can significantly upregulate the expression of CXCR4+ in NK cells, and further increase the chemotaxis and cytotoxicity of NK cells. Conclusions: In breast cancer patients receiving ICIs, the systemic lipid metabolism status, especially lysoglycerophospholipids, is closely related to the efficacy of immunotherapy. The key molecule LPC, the most prominent lysoglycerophospholipids, may promote the efficacy of immunotherapy by activating NK cells in breast cancer patients. Paclitaxel may impair the efficacy of immunotherapy by affecting the systemic lipid metabolism status, especially by reducing plasma LPC levels, so it is not a suitable partner for ICIs. Citation Format: Hongnan Mo, Jiashu Han, Jingtong Zhai, Xiaoying Sun, Xiuwen Guan, Haili Qian, Fei Ma. Paclitaxel affects the efficacy of PD-1 blockade by interfering with lipid metabolism reprogramming in patients with breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-13-09.

Abstract PO2-25-03: Deciphering the immune molecular signature associated with pembrolizumab efficacy in the neoadjuvant setting of Triple-Negative Breast Cancer patients: a single-centre experience

Abstract Triple-negative breast cancer (TNBC) accounts for 15-20% of all breast cancers and is characterized by a high rate of recurrence, despite the improvement of the therapeutic approaches in recent years. Neoadjuvant chemotherapy (NACT) is the standard treatment for early-stage TNBC. Achieving a pathological complete response (pCR) is considered an essential prognostic factor for long-term outcomes. However, the percentage of pCR patients after NACT is limited to 30-40%, thus requiring the implementation of novel therapeutic strategies. Recently, by applying a morphology-guided spatial transcriptomic approach on Tru-Cut biopsies, we showed that intratumoral infiltrating lymphocytes (iTILs) and stromal Natural Killer (NK) cells are major determinants of chemotherapy efficacy in TNBC. These data highlight a complex three-dimensional organization of the tumor landscape and underline how spatiality and molecular activation of immune cells are essential to enhance the efficacy of neoadjuvant NACT in TNBC. The fact that immune cells are important players in this setting is corroborated by the clinical success shown by the KEYNOTE-522 study. This trial paved the way for the use of immunotherapy in neoadjuvant settings, obtaining a significant improvement in the patient’s overall response compared to standard NACT. Still, the implementation of chemotherapy with immunotherapy in the TNBC neoadjuvant treatment implicates several compelling questions, including how to further increase the percentage of patients with a complete response, overcoming resistance mechanisms, and how to improve the personalization of treatment, evaluating which patients can benefit from a therapy de-scalation or another combined therapeutic strategy. In this prospective cohort study, we decided to define the relevance of different immune populations in affecting pembrolizumab efficacy in the neoadjuvant treatment of TNBC patients. We treated 40 patients with an early-TNBC diagnosis with the KEYNOTE-522 regimen that consists of four cycles of an intravenous infusion of pembrolizumab plus paclitaxel and carboplatin, followed by four cycles of pembrolizumab plus epirubicin and cyclophosphamide. Only patients with evident side effects to immunotherapy administration were a priori excluded. Currently, 18 patients ended the neoadjuvant schedule and underwent surgical excision. Our data indicate that 15 patients displayed a pCR at the end of the therapy, whereas 3 patients displayed only partial response. To further clarify the immune dynamics that lead to a complete response to pembrolizumab in these patients, we collected peripheral blood before and after neoadjuvant treatment to isolate peripheral blood mononucleated cells (PBMCs). We applied a single-cell transcriptome analysis to shape any variations in circulating immune cells occurring during neoadjuvant treatment and associated with patient response. In addition, we collected residual tumors at surgery from partial responders and derived three-dimensional organoids that recapitulate the characteristics of the original patient tumor. These ex vivo organoid-based platforms are applied to clarify the molecular mechanisms driving neoadjuvant resistance. To this aim, we are performing co-cultures with autologous immune cells to identify novel combined therapeutic strategies to rescue pembrolizumab efficacy in these models. Overall, our study is defining the immune-related molecular mechanisms driving pembrolizumab and chemotherapy response in the neoadjuvant treatment of TNBC patients. Our findings can improve our understanding of which immune populations are determinant players in anti-TNBC immune response and can be proposed as novel biomarkers of pembrolizumab efficacy during the neoadjuvant treatment. Citation Format: Elisa Gasparini, Gloria Manzotti, Moira Ragazzi, Benedetta Donati, Federica Torricelli, Elisa Salviato, Alessandra Bisagni, Eleonora Zanetti, Alessandra Bologna, Saverio Coiro, Rita Vacondio, Guglielmo Ferrari, Giancarlo Bisagni, Carmine Pinto, Alessia Ciarrocchi, Francesca Reggiani. Deciphering the immune molecular signature associated with pembrolizumab efficacy in the neoadjuvant setting of Triple-Negative Breast Cancer patients: a single-centre experience [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-25-03.

Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging

Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging

Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging

Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging

Comprehensive proteogenomic characterization of rare kidney tumors.

Non-clear cell renal cell carcinomas (non-ccRCCs) encompass diverse malignant and benign tumors. Refinement of differential diagnosis biomarkers, markers for early prognosis of aggressive disease, and therapeutic targets to complement immunotherapy are current clinical needs. Multi-omics analyses of 48 non-ccRCCs compared with 103 ccRCCs reveal proteogenomic, phosphorylation, glycosylation, and metabolic aberrations in RCC subtypes. RCCs with high genome instability display overexpression of IGF2BP3 and PYCR1. Integration of single-cell and bulk transcriptome data predicts diverse cell-of-origin and clarifies RCC subtype-specific proteogenomic signatures. Expression of biomarkers MAPRE3, ADGRF5, and GPNMB differentiates renal oncocytoma from chromophobe RCC, and PIGR and SOSTDC1 distinguish papillary RCC from MTSCC. This study expands our knowledge of proteogenomic signatures, biomarkers, and potential therapeutic targets in non-ccRCC.

Branching topology of the human embryo transcriptome revealed by entropy sort feature weighting.

Analysis of single cell transcriptomics (scRNA-seq) data is typically performed after sub-setting to highly variable genes (HVGs). Here we show that Entropy Sorting provides an alternative mathematical framework for feature selection. On synthetic datasets, continuous entropy sort feature weighting (cESFW) outperforms HVG selection in distinguishing cell state specific genes. We apply cESFW to six merged scRNA-seq datasets spanning human early embryo development. Without smoothing or augmenting the raw counts matrices, cESFW generates a high-resolution embedding displaying coherent developmental progression from 8-cell to post-implantation stages and delineating 15 distinct cell states. The embedding highlights sequential lineage decisions during blastocyst development while unsupervised clustering identifies branch point populations obscured in previous analyses. The first branching region, where morula cells become specified for inner cell mass or trophectoderm, includes cells previously asserted to lack a developmental trajectory. We quantify the relatedness of different pluripotent stem cell cultures to distinct embryo cell types and identify marker genes of naïve and primed pluripotency. Finally, by revealing genes with dynamic lineage-specific expression we provide markers for staging progression from morula to blastocyst.

Machine learning and deep learning to identifying subarachnoid haemorrhage macrophage-associated biomarkers by bulk and single-cell sequencing.

We investigated subarachnoid haemorrhage (SAH) macrophage subpopulations and identified relevant key genes for improving diagnostic and therapeutic strategies. SAH rat models were established, and brain tissue samples underwent single-cell transcriptome sequencing and bulk RNA-seq. Using single-cell data, distinct macrophage subpopulations, including a unique SAH subset, were identified. The hdWGCNA method revealed 160 key macrophage-related genes. Univariate analysis and lasso regression selected 10 genes for constructing a diagnostic model. Machine learning algorithms facilitated model development. Cellular infiltration was assessed using the MCPcounter algorithm, and a heatmap integrated cell abundance and gene expression. A 3 × 3 convolutional neural network created an additional diagnostic model, while molecular docking identified potential drugs. The diagnostic model based on the 10 selected genes achieved excellent performance, with an AUC of 1 in both training and validation datasets. The heatmap, combining cell abundance and gene expression, provided insights into SAH cellular composition. The convolutional neural network model exhibited a sensitivity and specificity of 1 in both datasets. Additionally, CD14, GPNMB, SPP1 and PRDX5 were specifically expressed in SAH-associated macrophages, highlighting its potential as a therapeutic target. Network pharmacology analysis identified some targeting drugs for SAH treatment. Our study characterised SAH macrophage subpopulations and identified key associated genes. We developed a robust diagnostic model and recognised CD14, GPNMB, SPP1 and PRDX5 as potential therapeutic targets. Further experiments and clinical investigations are needed to validate these findings and explore the clinical implications of targets in SAH treatment.