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Profil bibliographique

Honesty Kim

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

22Publications signalées
381Citations signalées
4Affiliations récentes

Les institutions déclarées

Les domaines associés

3D Printing in Biomedical ResearchCell Image Analysis TechniquesBiomedical and Engineering EducationAdvanced Proteomics Techniques and ApplicationsScientific Computing and Data Management

Les publications récentes

Accès ouvert 2024 article OpenAlex

Biophysical characterization of synthetic adhesins for predicting and tuning engineered living material properties

Stefana A. Costan, Paul M. Ryan, Honesty Kim, Charles W. Wolgemuth et autres

Bacterial synthetic multicellular systems are promising platforms for engineered living materials (ELMs) for medical, biosynthesis, environmental, and smart materials applications. Recent advancements in genetically encoded adhesion toolkits have enabled precise manipulation of cell-cell adhesion and the design and patterning of self-assembled multicellular …

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10 citations Matter
Accès ouvert 2024 article OpenAlex

Field Guide to Traction Force Microscopy

Aleksandra K. Denisin, Honesty Kim, Ingmar H. Riedel‐Kruse, Beth L. Pruitt

Introduction: Traction force microscopy (TFM) is a widely used technique to measure cell contractility on compliant substrates that mimic the stiffness of human tissues. For every step in a TFM workflow, users make choices which impact the quantitative results, yet many times …

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22 citations Cellular and Molecular Bioengineering
Accès ouvert 2024 preprint OpenAlex

Stress relaxing granular bioprinting materials enable complex and uniform organoid self-organization

Austin J. Graham, Michelle W.L. Khoo, Vasudha Srivastava, Sara Viragova et autres

Complex and robust self-organization requires defined initial conditions and dynamic boundaries - neighboring tissues and extracellular matrix (ECM) that actively evolve to guide morphogenesis. A major challenge in tissue engineering is identifying material properties that mimic dynamic tissue boundaries but that are …

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6 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2023 article OpenAlex

Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis

Monica T. Dayao, Alexandro E. Trevino, Honesty Kim, Matthew Ruffalo et autres

MOTIVATION: Spatial proteomics data have been used to map cell states and improve our understanding of tissue organization. More recently, these methods have been extended to study the impact of such organization on disease progression and patient survival. However, to date, the …

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17 citations Bioinformatics
2023 conference-abstract OpenAlex

Abstract LB079: An end-to-end Visium spatial transcriptomics computational pipeline for generating low-code interactive reports of spatial insights

Steven Hamel, Elim Cheung, Ying Qu, Malachi Loviska et autres

Abstract In recent years, methods for analyzing and interpreting expression data have evolved rapidly. Newer and more complex datasets are being developed faster than ever, and the resources needed to perform rigorous data analysis have increased dramatically. In spatial transcriptomics analysis, researchers …

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0 citations Cancer Research
Accès ouvert 2022 article OpenAlex

4-bit adhesion logic enables universal multicellular interface patterning

Honesty Kim, Dominic J. Skinner, David S. Glass, Alex Hamby et autres

Abstract Multicellular systems, from bacterial biofilms to human organs, form interfaces (or boundaries) between different cell collectives to spatially organize versatile functions 1,2 . The evolution of sufficiently descriptive genetic toolkits probably triggered the explosion of complex multicellular life and patterning 3,4 …

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42 citations Nature
2022 conference-abstract OpenAlex

Abstract 2036: Multi-omic dissection of immunotherapy response groups in non-small cell lung cancer (NSCLC)

Arutha Kulasinghe, James Monkman, Honesty Kim, Aaron T. Mayer et autres

Abstract Immunotherapies have led to long term benefits in a subset of non-small cell lung cancer (NSCLC) patients. Developing predictive biomarkers of response to therapy is currently an unmet clinical need. The composition of the cellular content of the tumour microenvironment (TME) …

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0 citations Cancer Research
Accès ouvert 2021 preprint OpenAlex

IL-2 stromal signatures dissect immunotherapy response groups in non-small cell lung cancer (NSCLC)

James Monkman, Honesty Kim, Aaron T. Mayer, Ahmed M. Mehdi et autres

Abstract Introduction Immunotherapies, such as immune checkpoint inhibitors (ICI) have shown durable benefit in a subset of non-small cell lung cancer (NSCLC) patients. The mechanisms for this are not fully understood, however the composition and activation status of the cellular milieu contained …

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4 citations medRxiv

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