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  1. Article ; Online: Advances in Mapping Tumor Progression from Precancer Atlases.

    Chen, Zhengyi / Lau, Ken S

    Cancer prevention research (Philadelphia, Pa.)

    2023  Volume 16, Issue 8, Page(s) 439–447

    Abstract: Tissue profiling technologies present opportunities for understanding transition from precancerous lesions to malignancy, which may impact risk stratification, prevention, and even cancer treatment. A human precancer atlas building effort is ongoing to ... ...

    Abstract Tissue profiling technologies present opportunities for understanding transition from precancerous lesions to malignancy, which may impact risk stratification, prevention, and even cancer treatment. A human precancer atlas building effort is ongoing to tackle the significant challenge of decoding the heterogeneity among cells, specimens, and patients. Here, we discuss the findings resulting from atlases built across precancer types, including those found in colon, breast, lung, stomach, cervix, and skin, using bulk, single-cell, and spatial profiling strategies. We highlight two main themes that emerge across precancer types: the ordering of molecular events that occur during tumor progression and the fluctuation of microenvironmental response during precancer progression. We further highlight the key challenges of data integration across large cohorts of patients, and the need for computational tools to reliably annotate and quality control high-volume, high-dimensional data.
    MeSH term(s) Female ; Humans ; Precancerous Conditions/pathology ; Cervix Uteri/pathology ; Breast/pathology ; Skin/pathology
    Language English
    Publishing date 2023-05-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2434717-6
    ISSN 1940-6215 ; 1940-6207
    ISSN (online) 1940-6215
    ISSN 1940-6207
    DOI 10.1158/1940-6207.CAPR-22-0473
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Dissociation and inDrops microfluidic encapsulation of human gut tissues for single-cell atlasing studies.

    Simmons, Alan J / Lau, Ken S

    STAR protocols

    2022  Volume 3, Issue 3, Page(s) 101570

    Abstract: In droplet-based single-cell RNA-sequencing (scRNA-seq) experiments, cells, along with some of their surrounding buffer and ambient material, are encapsulated into droplets for mRNA capture and barcoding. This protocol details the steps for human gut ... ...

    Abstract In droplet-based single-cell RNA-sequencing (scRNA-seq) experiments, cells, along with some of their surrounding buffer and ambient material, are encapsulated into droplets for mRNA capture and barcoding. This protocol details the steps for human gut tissue dissociation using cold active protease, and subsequent isolation of single epithelial cells, with enrichment of viability through washes. Next, the steps for encapsulation on the inDrops scRNA-seq platform are described. This procedure has been demonstrated to be applicable to polyps, cancers, and inflamed tissues. For complete details on the use and execution of this protocol, please refer to Chen et al. (2021).
    MeSH term(s) Humans ; Microfluidics ; Neoplasms ; RNA, Messenger ; Sequence Analysis, RNA/methods ; Single-Cell Analysis/methods
    Chemical Substances RNA, Messenger
    Language English
    Publishing date 2022-07-19
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 2666-1667
    ISSN (online) 2666-1667
    DOI 10.1016/j.xpro.2022.101570
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Intestinal tuft cells assemble a cytoskeletal superstructure composed of co-aligned actin bundles and microtubules.

    Silverman, Jennifer B / Krystofiak, Evan E / Caplan, Leah R / Lau, Ken S / Tyska, Matthew J

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Background & aims: All tissues consist of a distinct set of cell types, which collectively support organ function and homeostasis. Tuft cells are a rare epithelial cell type found in diverse epithelia, where they play important roles in sensing antigens ...

    Abstract Background & aims: All tissues consist of a distinct set of cell types, which collectively support organ function and homeostasis. Tuft cells are a rare epithelial cell type found in diverse epithelia, where they play important roles in sensing antigens and stimulating downstream immune responses. Exhibiting a unique polarized morphology, tuft cells are defined by an array of giant actin filament bundles that support ∼2 μm of apical membrane protrusion and extend over 7 μm towards the cell's perinuclear region. Despite their established roles in maintaining intestinal epithelial homeostasis, tuft cells remain understudied due to their rarity (e.g. ∼ 1% in the small intestinal epithelium). Details regarding the ultrastructural organization of the tuft cell cytoskeleton, the molecular components involved in building the array of giant actin bundles, and how these cytoskeletal structures support tuft cell biology remain unclear.
    Methods: To begin to answer these questions, we used advanced light and electron microscopy to perform quantitative morphometry of the small intestinal tuft cell cytoskeleton.
    Results: We found that tuft cell core bundles consist of actin filaments that are crosslinked in a parallel "barbed-end out" configuration. These polarized structures are also supported by a unique group of tuft cell enriched actin-binding proteins that are differentially localized along the giant core bundles. Furthermore, we found that tuft cell actin bundles are co-aligned with a highly ordered network of microtubules.
    Conclusions: Tuft cells assemble a cytoskeletal superstructure that is well positioned to serve as a track for subcellular transport along the apical-basolateral axis and in turn, support the dynamic sensing functions that are critical for intestinal epithelial homeostasis.
    Synopsis: This research leveraged advanced light and electron microscopy to perform quantitative morphometry of the intestinal tuft cell cytoskeleton. Three-dimensional reconstructions of segmented image data revealed a co-aligned actin-microtubule superstructure that may play a fundamental role in tuft cell function.
    Language English
    Publishing date 2024-03-19
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.19.585757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Intestinal Tuft Cells: Morphology, Function, and Implications for Human Health.

    Silverman, Jennifer B / Vega, Paige N / Tyska, Matthew J / Lau, Ken S

    Annual review of physiology

    2023  Volume 86, Page(s) 479–504

    Abstract: Tuft cells are a rare and morphologically distinct chemosensory cell type found throughout many organs, including the gastrointestinal tract. These cells were identified by their unique morphologies distinguished by large apical protrusions. ... ...

    Abstract Tuft cells are a rare and morphologically distinct chemosensory cell type found throughout many organs, including the gastrointestinal tract. These cells were identified by their unique morphologies distinguished by large apical protrusions. Ultrastructural data have begun to describe the molecular underpinnings of their cytoskeletal features, and tuft cell-enriched cytoskeletal proteins have been identified, although the connection of tuft cell morphology to tuft cell functionality has not yet been established. Furthermore, tuft cells display variations in function and identity between and within tissues, leading to the delineation of distinct tuft cell populations. As a chemosensory cell type, they display receptors that are responsive to ligands specific for their environment. While many studies have demonstrated the tuft cell response to protists and helminths in the intestine, recent research has highlighted other roles of tuft cells as well as implicated tuft cells in other disease processes including inflammation, cancer, and viral infections. Here, we review the literature on the cytoskeletal structure of tuft cells. Additionally, we focus on new research discussing tuft cell lineage, ligand-receptor interactions, tuft cell tropism, and the role of tuft cells in intestinal disease. Finally, we discuss the implication of tuft cell-targeted therapies in human health and how the morphology of tuft cells may contribute to their functionality.
    MeSH term(s) Humans ; Intestinal Mucosa/metabolism ; Tuft Cells ; Intestines ; Gastrointestinal Tract ; Cell Lineage
    Language English
    Publishing date 2023-10-20
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 207933-1
    ISSN 1545-1585 ; 0066-4278
    ISSN (online) 1545-1585
    ISSN 0066-4278
    DOI 10.1146/annurev-physiol-042022-030310
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Quantitative Framework for Evaluating Single-Cell Data Structure Preservation by Dimensionality Reduction Techniques.

    Heiser, Cody N / Lau, Ken S

    Cell reports

    2020  Volume 31, Issue 5, Page(s) 107576

    Abstract: High-dimensional data, such as those generated by single-cell RNA sequencing (scRNA-seq), present challenges in interpretation and visualization. Numerical and computational methods for dimensionality reduction allow for low-dimensional representation of ...

    Abstract High-dimensional data, such as those generated by single-cell RNA sequencing (scRNA-seq), present challenges in interpretation and visualization. Numerical and computational methods for dimensionality reduction allow for low-dimensional representation of genome-scale expression data for downstream clustering, trajectory reconstruction, and biological interpretation. However, a comprehensive and quantitative evaluation of the performance of these techniques has not been established. We present an unbiased framework that defines metrics of global and local structure preservation in dimensionality reduction transformations. Using discrete and continuous real-world and synthetic scRNA-seq datasets, we show how input cell distribution and method parameters are largely determinant of global, local, and organizational data structure preservation by 11 common dimensionality reduction methods.
    MeSH term(s) Algorithms ; Cluster Analysis ; Gene Expression Profiling ; Humans ; RNA, Small Cytoplasmic/genetics ; Sequence Analysis, RNA/methods ; Single-Cell Analysis/methods ; Transcriptome/genetics ; Exome Sequencing/methods
    Chemical Substances RNA, Small Cytoplasmic
    Language English
    Publishing date 2020-05-06
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2020.107576
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Deciphering the cancer microenvironment from bulk data with EcoTyper.

    Rolong, Andrea / Chen, Bob / Lau, Ken S

    Cell

    2021  Volume 184, Issue 21, Page(s) 5306–5308

    Abstract: In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and ... ...

    Abstract In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and patient prognosis for a variety of tumor types from multiple data sources.
    MeSH term(s) Humans ; Neoplasms/genetics ; Software ; Transcriptome ; Tumor Microenvironment
    Language English
    Publishing date 2021-11-16
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2021.09.028
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Protecting the Right Ventricle Network (PRORVNet): Time to Defend the "Forgotten Ventricle"?

    Zochios, Vasileios / Lau, Gary / Conway, Hannah / Parhar, Ken Kuljit S

    Journal of cardiothoracic and vascular anesthesia

    2021  Volume 35, Issue 6, Page(s) 1565–1567

    MeSH term(s) Heart Ventricles/diagnostic imaging ; Humans
    Language English
    Publishing date 2021-01-08
    Publishing country United States
    Document type Editorial
    ZDB-ID 1067317-9
    ISSN 1532-8422 ; 1053-0770
    ISSN (online) 1532-8422
    ISSN 1053-0770
    DOI 10.1053/j.jvca.2021.01.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Use of mobile app to enhance functional outcomes and adherence of home-based rehabilitation program for elderly with hip fracture: A randomized controlled trial.

    Cheng, Kui Ching / Lau, Kin Ming Ken / Cheng, Andy S K / Lau, Tin Sing Keith / Lau, Fuk On Titanic / Lau, Mun Cheung Herman / Law, Sheung Wai

    Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao

    2022  Volume 42, Issue 2, Page(s) 99–110

    Abstract: Background: Mobile app has been used to improve exercise adherence and outcomes in populations with different health conditions. However, the effectiveness of mobile app in delivering home-based rehabilitation program to elderly patients with hip ... ...

    Abstract Background: Mobile app has been used to improve exercise adherence and outcomes in populations with different health conditions. However, the effectiveness of mobile app in delivering home-based rehabilitation program to elderly patients with hip fracture is unclear.
    Objective: The aim of this study was to test the effectiveness of mobile app in delivering home-based rehabilitation program for improving functional outcomes and reducing caregiver stress with enhancing adherence among the elderly patients with hip fracture.
    Methods: A randomized controlled trial with an intervention period of two months was performed. Eligible participants were randomized into either experimental group with home-based rehabilitation program using a mobile app or control group with home-based rehabilitation program using an exercise pamphlet. Primary outcomes were Modified Functional Ambulatory Category (MFAC), Elderly Mobility Scale (EMS) and Lower Extremity Functional Scale (LEFS). Secondary outcomes were exercise adherence and Modified Caregiver Strain Index (M-CSI). The outcomes were collected at pre-discharge training session, one month and two months after hospital discharge.
    Results: A total of 50 participants were enrolled, with 19 participants in the experimental group and 20 participants in the control group. Eleven participants had withdrawn from the study. The experimental group showed higher exercise adherence than the control group in first month (
    Conclusion: Use of the mobile app improved exercise adherence, yet it did not improve physical performance, self-efficacy and reduce caregiver stress when compared to a standard home rehabilitation program for elderly patients with hip fracture. Further studies to investigate the benefits of mobile apps are required. (ClinicalTrials.gov ID: NCT04053348.).
    Language English
    Publishing date 2022-06-15
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2202255-7
    ISSN 1876-441X ; 1013-7025
    ISSN (online) 1876-441X
    ISSN 1013-7025
    DOI 10.1142/S101370252250010X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Deciphering the cancer microenvironment from bulk data with EcoTyper

    Rolong, Andrea / Chen, Bob / Lau, Ken S.

    Cell. 2021 Oct. 14, v. 184, no. 21

    2021  

    Abstract: In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and ... ...

    Abstract In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and patient prognosis for a variety of tumor types from multiple data sources.
    Keywords computer software ; neoplasm progression ; neoplasms ; patients ; prognosis ; transcriptomics
    Language English
    Dates of publication 2021-1014
    Size p. 5306-5308.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2021.09.028
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Not All Insults Are Created Equal for Awakening Dormant Stem Cell Abilities.

    Vega, Paige N / Lau, Ken S / Goldenring, James R

    Cellular and molecular gastroenterology and hepatology

    2019  Volume 7, Issue 3, Page(s) 619–621

    MeSH term(s) Cell Count ; Cell Plasticity ; Paneth Cells ; Stem Cells
    Language English
    Publishing date 2019-01-07
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2819778-1
    ISSN 2352-345X ; 2352-345X
    ISSN (online) 2352-345X
    ISSN 2352-345X
    DOI 10.1016/j.jcmgh.2018.12.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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