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Institution scientifique

NanoCellect Biomedical (United States)

San Diego, US, company

30Publications signalées
959Citations signalées
12Thèmes principaux

Les principaux domaines

Microfluidic and Bio-sensing TechnologiesSingle-cell and spatial transcriptomicsCell Image Analysis TechniquesMicrofluidic and Capillary Electrophoresis ApplicationsCAR-T cell therapy research3D Printing in Biomedical ResearchCOVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 ResearchAdvanced biosensing and bioanalysis techniquesCOVID-19 epidemiological studiesRNA Interference and Gene DeliveryBiosensors and Analytical Detection

L’évolution annuelle

2009 1
2011 1
2013 2
2016 1
2017 1
2019 1
2020 5
2021 2
2022 6
2023 1
2024 2
2025 5
2026 2

Les publications récentes

Accès ouvert 2026 article OpenAlex

Protocol for clonal isolation of gene-edited hiPSCs using droplet and microfluidic sorting

Hemanta Sarmah, Grazia Iannello, Ryan Wantroba, Christopher Wu et autres

Genetically engineered human induced pluripotent stem cells (hiPSCs) are vital for disease modeling and drug discovery, yet generating clonal lines efficiently post-editing remains challenging. Here, we present a protocol to generate clonal hiPSC lines after gene editing using either electrostatic droplet- or …

us, it (code pays fourni par la source)

1 citation STAR Protocols
Accès ouvert 2026 article OpenAlex

Identification of an Elusive CBFA2T3::GLIS2 Fusion Variant in Acute Megakaryoblastic Leukemia by Whole Genome Sequencing

Yuna Lee, Jung Yoon Choi, Hyun Jin Park, Bo Kyung Kim et autres

ABSTRACT Advancements in genomic profiling have significantly improved the classification and treatment strategies for acute myeloid leukemia (AML). However, widely utilized molecular diagnostic techniques, including targeted gene panels, are often insufficient for detecting complex structural variants, cryptic fusions, and poorly characterized driver …

us, kr (code pays fourni par la source)

0 citations eJHaem
Accès ouvert 2025 preprint OpenAlex

Clonal dynamics of monozygotic twinning in early human embryogenesis

Sung-Soo Yoon, Chang Hyun Nam, Seung Mi Lee, J. Bae et autres

ABSTRACT Monozygotic twins are derived from the split of a single zygote early in embryogenesis. Although it was hypothesized that the timing of twining is overall associated with fetal membrane configuration of twins, i.e., chorionicity and amnionicity, our understanding of early embryonic …

us, kr, Éthiopie, be (code pays fourni par la source)

0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 preprint OpenAlex

APOBEC3A drives deaminase mutagenesis in human gastric epithelium

Yohan An, Ji‐Hyun Lee, Joonoh Lim, Jeonghwan Youk et autres

Cancer genomes frequently carry apolipoprotein B mRNA editing catalytic polypeptide-like (APOBEC)-associated DNA mutations, suggesting APOBEC enzymes as innate mutagens during cancer initiation and evolution. However, the pure mutagenic impacts of the specific enzymes among this family remain unclear in human normal cell …

kr, us, gr, nl (code pays fourni par la source)

1 citation Genome Research
Accès ouvert 2025 article OpenAlex

Highly Efficient Calibration‐Free Color Compensation Algorithm for Imaging Flow Cytometry

Ziqi Zhou, Zhaoyu Lai, Rui Tang, Xinyu Chen et autres

As an emerging platform gaining significant attention from the biomedical community, multiplexed fluorescent imaging from imaging flow cytometry enables simultaneous detection of numerous biological targets within a single cell. Due to the spectral overlap, signals from one fluorophore can bleed into other …

us (code pays fourni par la source)

0 citations Cytometry Part A
Accès ouvert 2025 article OpenAlex

Predicting cell properties with AI from 3D imaging flow cytometer data

Zunming Zhang, Yuxuan Zhu, Zhaoyu Lai, Xinyu Chen et autres

Predicting the properties of tissues or organisms from the genomics data is widely accepted by the medical community. Here we ask a question: can we predict the properties of each individual cell? Single-cell genomics does not work because the RNA sequencing process …

us (code pays fourni par la source)

5 citations Scientific Reports
Accès ouvert 2025 preprint OpenAlex

Trio-Based Whole-Genome Sequencing for Critically Ill Pediatric Patients in Korea

Seungbok Lee, June‐Young Koh, Joonoh Lim, Jaeso Cho et autres

Abstract This study aimed to implement genome sequencing using an automated pipeline for critically ill pediatric patients within a real-world healthcare system. Twenty patients under 36 months of age, admitted to the NICU/PICU or suspected of having rapidly progressive genetic disorders, were …

kr, us (code pays fourni par la source)

0 citations medRxiv
2024 conference-abstract OpenAlex

VERLO: a novel imaging cell sorter for enhanced analysis of tumor infiltration by immune cells

Rea Dabelic, Adonary Munoz, Micayla George, Lin Xia et autres

Abstract Cancer ranks as the second leading cause of death in the US. Central to cancer progression is the tumor microenvironment (TME), which significantly influences the disease's spread. Immune cell infiltration into the TME is crucial for effective immunotherapy. Traditional infiltration assessment …

us (code pays fourni par la source)

1 citation The Journal of Immunology
Accès ouvert 2024 preprint OpenAlex

Predicting the severity of disease progression in COVID-19 at the individual and population level: A mathematical model

Narendra Chirmule, Pradip Nair, Bela Desai, R. S. Khare et autres

The impact of COVID-19 disease on health and economy has been global, and the magnitude of devastation is unparalleled in modern history. Any potential course of action to manage this complex disease requires the systematic and efficient analysis of data that can …

in, us (code pays fourni par la source)

0 citations
Accès ouvert 2023 article OpenAlex

Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry

Zunming Zhang, Xinyu Chen, Rui Tang, Yuxuan Zhu et autres

A primary challenge of high-throughput imaging flow cytometry (IFC) is to analyze the vast amount of imaging data, especially in applications where ground truth labels are unavailable or hard to obtain. We present an unsupervised deep embedding algorithm, the Deep Convolutional Autoencoder-based …

us (code pays fourni par la source)

9 citations Scientific Reports
Accès ouvert 2022 article OpenAlex

Low-latency label-free image-activated cell sorting using fast deep learning and AI inferencing

Rui Tang, Lin Xia, Bien Gutierrez, Ivan Gagne et autres

Classification and sorting of cells using image-activated cell sorting (IACS) systems can bring significant insight to biomedical sciences. Incorporating deep learning algorithms into IACS enables cell classification and isolation based on complex and human-vision uninterpretable morphological features within a heterogeneous cell population. …

us (code pays fourni par la source)

34 citations Biosensors and Bioelectronics
Accès ouvert 2022 article OpenAlex

High efficiency sorting and outgrowth for single-cell cloning of mammalian cell lines

Adonary Munoz, José M. Morachis

Single-cell selection and cloning is required for multiple bioprocessing and cell engineering workflows. Dispensing efficiency and outgrowth were optimized for multiple common suspension (CHO ES, Expi293F, and Jurkat) and adherent (MCF-7, A549, CHO-K1, and HEK293) cell lines. Single-cell sorting using a low …

us (code pays fourni par la source)

10 citations Biotechnology Letters

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