STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering DOI
Lihong Peng,

Xianzhi He,

Xinhuai Peng

и другие.

Computers in Biology and Medicine, Год журнала: 2023, Номер 166, С. 107440 - 107440

Опубликована: Сен. 9, 2023

Язык: Английский

Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance DOI Creative Commons
Hussein Sabit, Borros Arneth, Timothy M. Pawlik

и другие.

Pharmaceuticals, Год журнала: 2025, Номер 18(1), С. 75 - 75

Опубликована: Янв. 10, 2025

Recent developments in single-cell multi-omics technologies have provided the ability to identify diverse cell types and decipher key components of tumor microenvironment (TME), leading important advancements toward a much deeper understanding how heterogeneity contributes cancer progression therapeutic resistance. These are able integrate data from molecular genomic, transcriptomic, proteomics, metabolomics studies cells at resolution scale that give rise full cellular complexity TME. Understanding complex sometimes reciprocal relationships among cells, CAFs, immune ECs has led novel insights into their immense functions, which can consequences on behavior. In-depth uncovered evasion mechanisms, including exhaustion T metabolic reprogramming response hypoxia cells. Single-cell also revealed resistance such as stromal cell-secreted factors physical barriers extracellular matrix. Future examining specific pathways targeting approaches reduce TME will likely lead better outcomes with immunotherapies, drug delivery, etc., for treatments. incorporate data, spatial micro-environments, translation personalized therapies. This review emphasizes provide TME, revealing reprogramming, influences. aim guide development targeted therapies, highlighting role diversity shaping behavior treatment outcomes.

Язык: Английский

Процитировано

7

Functional diversity of cardiac macrophages in health and disease DOI Creative Commons
Steven Yang, Vinay Penna, Kory J. Lavine

и другие.

Nature Reviews Cardiology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

4

Cancer associated fibroblasts in cancer development and therapy DOI Creative Commons

Hongyuan Jia,

Xingmin Chen,

Linling Zhang

и другие.

Journal of Hematology & Oncology, Год журнала: 2025, Номер 18(1)

Опубликована: Март 28, 2025

Cancer-associated fibroblasts (CAFs) are key players in cancer development and therapy, they exhibit multifaceted roles the tumor microenvironment (TME). From their diverse cellular origins, CAFs undergo phenotypic functional transformation upon interacting with cells presence can adversely influence treatment outcomes severity of cancer. Emerging evidence from single-cell RNA sequencing (scRNA-seq) studies have highlighted heterogeneity plasticity CAFs, subtypes identifiable through distinct gene expression profiles properties. multiple mechanisms, including regulation extracellular matrix (ECM) remodeling, direct promotion growth provision metabolic support, promoting epithelial-mesenchymal transition (EMT) to enhance invasiveness growth, as well stimulating stem cell properties within tumor. Moreover, induce an immunosuppressive TME contribute therapeutic resistance. In this review, we summarize fundamental knowledge recent advances regarding focusing on sophisticated potential targets. We discuss various strategies target ECM modulation, elimination, interruption CAF-TME crosstalk, CAF normalization, approaches developing more effective treatments. An improved understanding complex interplay between is crucial for new targeted therapies

Язык: Английский

Процитировано

4

YTHDF2-mediated m6A modification of ONECUT2 promotes stemness and oxaliplatin resistance in gastric cancer through transcriptionally activating TFPI DOI

Xingdi Fan,

Fangyi Han,

Haocheng Wang

и другие.

Drug Resistance Updates, Год журнала: 2025, Номер 79, С. 101200 - 101200

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

3

Microglial Responses to Alzheimer's Disease Pathology: Insights From “Omics” Studies DOI Open Access
Aquene N. Reid, Suman Jayadev, Katherine E. Prater

и другие.

Glia, Год журнала: 2025, Номер 73(3), С. 519 - 538

Опубликована: Янв. 6, 2025

Human genetics studies lent firm evidence that microglia are key to Alzheimer's disease (AD) pathogenesis over a decade ago following the identification of AD-associated genes expressed in microglia-specific manner. However, while alterations microglial morphology and gene expression observed human postmortem brain tissue, mechanisms by which drive contribute AD pathology remain ill-defined. Numerous mouse models have been developed facilitate disambiguation biological underlying AD, incorporating amyloidosis, phosphorylated tau, or both. Over time, use multiple technologies including bulk tissue single cell transcriptomics, epigenomics, spatial proteomics, lipidomics, metabolomics shed light on heterogeneity phenotypes molecular patterns altered models. Each these 'omics provide unique information insight. Here, we review literature approaches findings methods synthesis knowledge generated applying AD.

Язык: Английский

Процитировано

3

The Trail of axonal protein Synthesis: Origins and current functional Landscapes DOI
Joaquín Garat, Andrés Di Paolo, Guillermo Eastman

и другие.

Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Ushering in a new era of single-cell transcriptomics in bacteria DOI Creative Commons
Christina Homberger, Lars Barquist, Jörg Vogel

и другие.

microLife, Год журнала: 2022, Номер 3

Опубликована: Янв. 1, 2022

Abstract Transcriptome analysis of individual cells by single-cell RNA-seq (scRNA-seq) has become routine for eukaryotic tissues, even being applied to whole multicellular organisms. In contrast, developing methods read the transcriptome single bacterial proven more challenging, despite a general perception bacteria as much simpler than eukaryotes. Bacterial are harder lyse, their RNA content is about two orders magnitude lower that cells, and mRNAs less stable counterparts. Most importantly, transcripts lack functional poly(A) tails, precluding simple adaptation popular standard scRNA-seq protocols come with double advantage specific mRNA amplification concomitant depletion rRNA. However, thanks very recent breakthroughs in methodology, now feasible. This short review will discuss recently published approaches (MATQ-seq, microSPLiT, PETRI-seq) spatial transcriptomics approach based on multiplexed situ hybridization (par-seqFISH). Together, these novel not only enable new understanding cell-to-cell variation gene expression, they also promise microbiology enabling high-resolution profiling activity complex microbial consortia such microbiome or pathogens invade, replicate, persist host tissue.

Язык: Английский

Процитировано

47

The role of tumor microenvironment in drug resistance: emerging technologies to unravel breast cancer heterogeneity DOI Creative Commons
Vincenzo Salemme, Giorgia Centonze, Lidia Avalle

и другие.

Frontiers in Oncology, Год журнала: 2023, Номер 13

Опубликована: Май 17, 2023

Breast cancer is a highly heterogeneous disease, at both inter- and intra-tumor levels, this heterogeneity crucial determinant of malignant progression response to treatments. In addition genetic diversity plasticity cells, the tumor microenvironment contributes shaping physical biological surroundings tumor. The activity certain types immune, endothelial or mesenchymal cells in can change effectiveness therapies via plethora different mechanisms. Therefore, deciphering interactions between distinct cell types, their spatial organization specific contribution growth drug sensitivity still major challenge. Dissecting currently an urgent need better define breast biology develop therapeutic strategies targeting as helpful tools for combined personalized treatment. review, we analyze mechanisms by which affects characteristics that ultimately result resistance, outline state art preclinical models emerging technologies will be instrumental unraveling impact on resistance therapies.

Язык: Английский

Процитировано

42

Unveiling the future of metabolic medicine: omics technologies driving personalized solutions for precision treatment of metabolic disorders DOI
Samradhi Singh, Devojit Kumar Sarma, Vinod Verma

и другие.

Biochemical and Biophysical Research Communications, Год журнала: 2023, Номер 682, С. 1 - 20

Опубликована: Сен. 29, 2023

Язык: Английский

Процитировано

41

Cancer‐Associated Fibroblast‐Induced Remodeling of Tumor Microenvironment in Recurrent Bladder Cancer DOI Creative Commons
Ting Liang,

Tao Tao,

Kai Wu

и другие.

Advanced Science, Год журнала: 2023, Номер 10(31)

Опубликована: Сен. 24, 2023

Bladder carcinoma (BC) recurrence is a major clinical challenge, and targeting the tumor microenvironment (TME) promising therapy. However, relationship between individual TME components, particularly cancer-associated fibroblasts (CAFs), unclear. Here, heterogeneity in primary recurrent BC investigated using single-cell RNA sequence profiling of 62 460 cells. Two cancer stem cell (CSC) subtypes are identified BC. An inflammatory CAF subtype, ICAM1+ iCAFs, specifically associated with also identified. iCAFs found to secrete FGF2, which acts on CD44 receptor rCSC-M, thereby maintaining stemness epithelial-mesenchymal transition. Additionally, THBS1+ monocytes, group myeloid-derived suppressor cells (MDSCs), enriched interacted CAFs. CCL2, binds CCR2 MDSCs. Moreover, elevated STAT3, NFKB2, VEGFA, CTGF levels reshape tumors. CCL2 inhibition an situ mouse model suppressed growth, decreased MDSCs Tregs, fostered immune suppression. The study results highlight role cell-cell crosstalk during identification pivotal signaling factors driving relapse for development novel therapies.

Язык: Английский

Процитировано

34