CD56/NCAM mediates cell migration of human NK cells by promoting integrin-mediated adhesion turnover DOI Creative Commons
Amera L. Martinez, Michael J. Shannon,

Tyler Sloan

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Ноя. 22, 2023

Natural killer (NK) cells patrol tissue to mediate lysis of virally infected and tumorigenic cells. Human NK are typically identified by their expression neural cell adhesion molecule (NCAM, CD56), yet, despite its ubiquitous on cells, CD56 remains a poorly understand protein immune has been previously demonstrated play roles in cytotoxic function migration. Specifically, CD56-deficient have impaired migration stromal is localized the uropod migrating stroma. Here, we show that required for ICAM-1 establishment persistent polarity unidirectional actin flow. The intracellular domain (NCAM-140) function, loss leads enlarged foci sequestration phosphorylated Pyk2, accompanied increased size frequency activated LFA-1 clusters. Together, these data identify role regulating human through modulation dynamics integrin turnover.

Язык: Английский

CellTracksColab is a platform that enables compilation, analysis, and exploration of cell tracking data DOI Creative Commons
Estibaliz Gómez‐de‐Mariscal, Hanna Grobe, Joanna W. Pylvänäinen

и другие.

PLoS Biology, Год журнала: 2024, Номер 22(8), С. e3002740 - e3002740

Опубликована: Авг. 8, 2024

In life sciences, tracking objects from movies enables researchers to quantify the behavior of single particles, organelles, bacteria, cells, and even whole animals. While numerous tools now allow automated video, a significant challenge persists in compiling, analyzing, exploring large datasets generated by these approaches. Here, we introduce CellTracksColab, platform tailored simplify exploration analysis cell data. CellTracksColab facilitates compiling results across multiple fields view, conditions, repeats, ensuring holistic dataset overview. also harnesses power high-dimensional data reduction clustering, enabling identify distinct behavioral patterns trends without bias. Finally, includes specialized modules spatial analyses (clustering, proximity specific regions interest). We demonstrate capabilities with 3 use cases, including T cells cancer migration, as well filopodia dynamics. is available for broader scientific community at https://github.com/CellMigrationLab/CellTracksColab .

Язык: Английский

Процитировано

6
CD56/NCAM mediates cell migration of human NK cells by promoting integrin-mediated adhesion turnover DOI
Amera L. Martinez, Michael J. Shannon,

Tyler Sloan

и другие.

Molecular Biology of the Cell, Год журнала: 2024, Номер 35(5)

Опубликована: Март 20, 2024

Natural killer (NK) cells patrol tissue to mediate lysis of virally infected and tumorigenic cells. Human NK are typically identified by their expression neural cell adhesion molecule (NCAM, CD56), yet despite its ubiquitous on cells, CD56 remains a poorly understood protein immune has been previously demonstrated play roles in cytotoxic function migration. Specifically, CD56-deficient have impaired migration stromal is localized the uropod migrating stroma. Here, we show that required for ICAM-1 establishment persistent polarity unidirectional actin flow. The intracellular domain (NCAM-140) loss leads enlarged foci sequestration phosphorylated Pyk2 accompanied increased size frequency activated LFA-1 clusters. Together, these data identify role regulating human through modulation dynamics integrin turnover.

Язык: Английский

Процитировано

5
A novel approach for cluster detection in trajectory data with low cluster-to-noise density ratio DOI
Zidong Fang, Tao Pei, Xiaohan Liu

и другие.

International Journal of Geographical Information Science, Год журнала: 2025, Номер unknown, С. 1 - 30

Опубликована: Апрель 30, 2025

Язык: Английский

Процитировано

0
Evaluation of image analysis tools for the measurement of cellular morphology DOI Creative Commons
Matthew D. Bourn, Leslie Daly, Jim F. Huggett

и другие.

Frontiers in Cell and Developmental Biology, Год журнала: 2025, Номер 13

Опубликована: Май 15, 2025

Morphological cell analysis offers a means of identification and classification key morphological measurement parameters linked to bioactivity health and, as such, it is great interest academic industrial research sectors. Widespread adoption this approach has yet occur, partially due the lack alignment in methodologies output metrics, limiting data comparability. Work within metrology wider multidisciplinary community aims reduce variability through improved image acquisition methodologies. Furthermore, improve comparability, also focused on minimal set measurands, often termed critical quality attributes (CQAs), which are traceable standardised (SI) units measurement. Whilst efforts defining CQAs have progressed significantly for healthcare applications, there still numerous challenges associated with cultured cells due, part, their complex heterogenous nature. This review evaluates various automated tools developed four commonly considered features: nucleus, actin cytoskeleton, mitochondria, membrane. The outputs from each tool been evaluated coinciding highlighted potential CQAs.

Язык: Английский

Процитировано

0
CellTracksColab — A platform for compiling, analyzing, and exploring tracking data DOI Creative Commons
Estibaliz Gómez‐de‐Mariscal, Hanna Grobe, Joanna W. Pylvänäinen

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 23, 2023

Abstract In life sciences, tracking objects from movies enables researchers to quantify the behavior of single particles, organelles, bacteria, cells, and even whole animals. While numerous tools now allow automated video, a significant challenge persists in compiling, analyzing, exploring large datasets generated by these approaches. Here, we introduce CellTracksColab, platform tailored simplify exploration analysis data. CellTracksColab facilitates compiling results across multiple fields view, conditions, repeats, ensuring holistic dataset overview. also harnesses power high-dimensional data reduction clustering, enabling identify distinct behavioral patterns trends without bias. Finally, includes specialized modules spatial analyses (clustering, proximity specific regions interest). We demonstrate capabilities with three use cases, including T-cells cancer cell migration, as well filopodia dynamics. is available for broader scientific community at https://github.com/CellMigrationLab/CellTracksColab .

Язык: Английский

Процитировано

6
BEHAV3D Tumor Profiler to map heterogeneous cancer cell behavior in the tumor microenvironment DOI Creative Commons

Emilio Rios-Jimenez,

Anoek Zomer,

Raphaël Collot

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 27, 2024

Abstract Intravital microscopy (IVM) enables live imaging of animals at single-cell level, offering essential insights into cancer progression. This technique allows for the observation behaviors within their natural 3D tissue environments, shedding light on how genetic and microenvironmental changes influence complex dynamics tumors. The complexity data generated by IVM often surpasses capabilities conventional analyses accessible to biomedical scientists, thereby neglecting heterogeneity limiting exploration influences cellular behavior without bias. To address this challenge, here we introduce BEHAV3D Tumor Profiler (BEHAV3D-TP), a user-friendly computational framework designed comprehensive analysis single tumor cell interactions with microenvironment (TME). BEHAV3D-TP facilitates unbiased profiling requiring advanced expertise. Here, apply study diffuse midline glioma (DMG), highly aggressive pediatric brain characterized invasive growth. Our reveals that distinct migratory DMG cells correlate specific TME components such as tumor-associated macrophages vasculature. approach, initially aimed uncovering patterns TME, holds promise understanding additional like intravasation metastasis. represents significant advancement in democratizing heterogeneous interactions, providing dynamics.

Язык: Английский

Процитировано

0
Imaging cell architecture and dynamics DOI
Lucy Collinson, Guillaume Jacquemet

Journal of Cell Science, Год журнала: 2024, Номер 137(20)

Опубликована: Окт. 15, 2024

Язык: Английский

Процитировано

0
BEHAV3D Tumor Profiler to map heterogeneous cancer cell behavior in the tumor microenvironment DOI Open Access

Emilio Rios-Jimenez,

Anoek Zomer,

Raphaël Collot

и другие.

Опубликована: Ноя. 8, 2024

Intravital microscopy (IVM) enables live imaging of animals at single-cell level, offering essential insights into cancer progression. This technique allows for the observation behaviors within their natural 3D tissue environments, shedding light on how genetic and microenvironmental changes influence complex dynamics tumors. The complexity data generated by IVM often surpasses capabilities conventional analyses accessible to biomedical scientists, thereby neglecting heterogeneity limiting exploration influences cellular behavior without bias. To address this challenge, here we introduce BEHAV3D Tumor Profiler (BEHAV3D-TP), a user-friendly computational framework designed comprehensive analysis single tumor cell interactions with microenvironment (TME). BEHAV3D-TP facilitates unbiased profiling requiring advanced expertise. Here, apply study diffuse midline glioma (DMG), highly aggressive pediatric brain characterized invasive growth. Our reveals that distinct migratory DMG cells correlate specific TME components such as tumor-associated macrophages vasculature. approach, initially aimed uncovering patterns TME, holds promise understanding additional like intravasation metastasis. represents significant advancement in democratizing heterogeneous interactions, providing dynamics.

Язык: Английский

Процитировано

0
BEHAV3D Tumor Profiler to map heterogeneous cancer cell behavior in the tumor microenvironment DOI Open Access

Emilio Rios-Jimenez,

Anoek Zomer,

Raphaël Collot

и другие.

Опубликована: Ноя. 8, 2024

Intravital microscopy (IVM) enables live imaging of animals at single-cell level, offering essential insights into cancer progression. This technique allows for the observation behaviors within their natural 3D tissue environments, shedding light on how genetic and microenvironmental changes influence complex dynamics tumors. The complexity data generated by IVM often surpasses capabilities conventional analyses accessible to biomedical scientists, thereby neglecting heterogeneity limiting exploration influences cellular behavior without bias. To address this challenge, here we introduce BEHAV3D Tumor Profiler (BEHAV3D-TP), a user-friendly computational framework designed comprehensive analysis single tumor cell interactions with microenvironment (TME). BEHAV3D-TP facilitates unbiased profiling requiring advanced expertise. Here, apply study diffuse midline glioma (DMG), highly aggressive pediatric brain characterized invasive growth. Our reveals that distinct migratory DMG cells correlate specific TME components such as tumor-associated macrophages vasculature. approach, initially aimed uncovering patterns TME, holds promise understanding additional like intravasation metastasis. represents significant advancement in democratizing heterogeneous interactions, providing dynamics.

Язык: Английский

Процитировано

0
Video tracking of single cells to identify clustering behaviour DOI Creative Commons
Mónica Suárez Korsnes, Håkon Ramberg, Kristin Austlid Taskén

и другие.

Опубликована: Ноя. 11, 2024

Abstract Cancer cell clustering is a critical factor in metastasis, with cells often believed to migrate groups as they establish themselves new environments. This study presents preliminary findings from an vitro experiment, suggesting that co-culturing provides effective method for observing this phenomenon, even though the are grown monolayers. We introduce novel single-cell tracking approach based on graph theory identify clusters PC3 cultivated both monoculture and co-culture PC12 cells, using 66-hour time-lapse recordings. The initial step consists of defining ‘linked’ pairs laying foundation application theory. propose two alternative definitions pairings. first method, Method 1 , defines at given time t if close together within defined period before after . A second potential 2 there overlap between convex hulls their respective tracks during period. Pairing enables subsequent analysis. framework represents vertex (node) relation edge. An interconnected set high-degree nodes (nodes many connections or edges) forms subgraph, backbone, patch (cluster) cells. All connected backbone part subgraph. functions partition (or cut) graph. Two consecutive video considered share same identity following cluster contains least p = 75 % preceding cluster, mean positions △ r µm. appear form persistent exceeding 10 40 50 h incubation seeding. In contrast, cultured alone (mono-culture) did not exhibit behaviour. experimental requires further validation broader dataset.

Язык: Английский

Процитировано

0