Publications by authors named "Taeseob Lee"

Hormone receptor-positive and HER2-negative breast cancer (HR+/HER2-BC) is the most common type with a favorable prognosis under endocrine therapy. However, it still demonstrates unpredictable progression and recurrences influenced by high tumoral diversity and microenvironmental status. To address these heterogeneous molecular characteristics of HR+/HER2-BC, we aimed to simultaneously characterize its transcriptomic landscape and genetic architecture at the same resolution.

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  • - The study explores how symmetry breaking in human pluripotent stem cells (hPSCs) can mimic the processes of axis formation and cell patterning during development.
  • - Researchers created polarized spinal cord organoids (pSCOs) that exhibit organized dorsoventral (DV) structures and can differentiate into specific cell types through the application of specific signals.
  • - The control of dorsal/ventral domain proportions in pSCOs is achieved by adjusting the sizes of the initial cell micropatterns, resulting in distinct neural activities in mature organoids, which sheds light on the principles of neural development.
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  • The study explores the relationship between B-cell immune responses and the severity of COVID-19, highlighting how aberrant B-cell activity may contribute to disease progression, especially in high-risk groups.
  • Using single-cell RNA sequencing, researchers found that severe COVID-19 patients displayed a distinct B-cell response, characterized by increased plasma cells and diverse B-cell receptors, which suggests a stronger immune reaction compared to those with moderate disease.
  • The emergence of atypical memory B cells (AM2) and a novel plasma cell subset (PC2) during severe cases indicates unique inflammatory characteristics that could play a key role in the progression of COVID-19.
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Purpose: We investigated the feasibility of using an anatomically localized, target-enriched liquid biopsy (TLB) in mouse models of lung cancer.

Materials And Methods: After irradiating xenograft mouse with human lung cancer cell lines, H1299 (NRAS proto-oncogene, GTPase [NRAS] Q61K) and HCC827 (epidermal growth factor receptor [EGFR] E746-750del), circulating (cell-free) tumor DNA (ctDNA) levels were monitored with quantitative polymerase chain reaction on human long interspersed nuclear element-1 and cell line-specific mutations. We checked dose-dependency at 6, 12, or 18 Gy to each tumor-bearing mouse leg using 6-MV photon beams.

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Immunotherapy for metastatic colorectal cancer is effective only for mismatch repair-deficient tumors with high microsatellite instability that demonstrate immune infiltration, suggesting that tumor cells can determine their immune microenvironment. To understand this cross-talk, we analyzed the transcriptome of 91,103 unsorted single cells from 23 Korean and 6 Belgian patients. Cancer cells displayed transcriptional features reminiscent of normal differentiation programs, and genetic alterations that apparently fostered immunosuppressive microenvironments directed by regulatory T cells, myofibroblasts and myeloid cells.

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  • Researchers created a glioma-specific next-generation sequencing (NGS) panel called "GliomaSCAN" to better identify molecular variations in gliomas, which traditional cancer panels often miss.
  • The panel effectively detects single nucleotide variations and other key genomic changes in 232 important glioma-related genes, showing a high concordance with results from whole exome sequencing and other methods.
  • GliomaSCAN proved highly sensitive in finding actionable mutations in glioma patients, indicating its potential to improve treatment strategies based on genomic data.
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In addition to the rapid advancement in Next-Generation Sequencing (NGS) technology, clinical panel sequencing is being used increasingly in clinical studies and tests. However, tools that are used in NGS data analysis have not been comparatively evaluated in performance for panel sequencing. This study aimed to evaluate the tools used in the alignment process, the first procedure in bioinformatics analysis, by comparing tools that have been widely used with ones that have been introduced recently.

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