Lingting Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lingting Shi has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- Elham Azizi
Columbia University
2 shared publications Jee Yoon Lim
Department of Biological Sciences Columbia University New York New York USA
2 shared publications- Lance Cameron Kam
Department of Biomedical Engineering, Columbia University
2 shared publications - Andrew J. Blumberg
Department of Computer Science, Columbia University, 500 W 120th St., New York, 10027, New York, USA
1 shared publication Bailey T Van
Columbia University
1 shared publication- Cody Slater
Columbia University
1 shared publication
Latest Publications
- Open Access
In situ single-cell CRISPR screens uncover context-dependent rewiring of glioma states and immune recruitment
In vivo single-cell CRISPR screens can resolve perturbation effects in native tissues, but few combine cell-type-restricted delivery, somatic tumor initiation, and combinatorial perturbation. Here we developed an RCAS-TVA-based single-cell CRISPR screening approach coupling oncogenic transformation with single- or dual-guide perturbation in defined neural progenitors. In glioma, tumor suppressor loss produced distinct genotype-dependent transcriptional states, including an NF1-loss-associated increase in mesenchymal programs. Introducing a fixed Cdkn2a(ARF) perturbation altered malignant-cell state composition, immune-cell abundance, and the effects of additional tumor-suppressor perturbations, including increased representation of Pten- and Rb1-deficient cells, suggestive of the relief of an ARF-dependent genetic barrier. These perturbations converged on transcriptional states resembling pharmacologic p53 activation in human glioblastoma. Across mouse tumors and human glioblastoma models, this response was associated with increased astrocyte-like state representation. These findings establish a framework for single-cell analysis of context-dependent somatic perturbations during tumor initiation in vivo.
Open AccessIn situ single-cell CRISPR screens uncover context-dependent rewiring of glioma states and immune recruitment
In vivo single-cell CRISPR screens can resolve perturbation effects in native tissues, but few combine cell-type-restricted delivery, somatic tumor initiation, and combinatorial perturbation. Here we developed an RCAS-TVA-based single-cell CRISPR screening approach coupling oncogenic transformation with single- or dual-guide perturbation in defined neural progenitors. In glioma, tumor suppressor loss produced distinct genotype-dependent transcriptional states, including an NF1-loss-associated increase in mesenchymal programs. Introducing a fixed Cdkn2a(ARF) perturbation altered malignant-cell state composition, immune-cell abundance, and the effects of additional tumor-suppressor perturbations, including increased representation of Pten- and Rb1-deficient cells, suggestive of the relief of an ARF-dependent genetic barrier. These perturbations converged on transcriptional states resembling pharmacologic p53 activation in human glioblastoma. Across mouse tumors and human glioblastoma models, this response was associated with increased astrocyte-like state representation. These findings establish a framework for single-cell analysis of context-dependent somatic perturbations during tumor initiation in vivo.
- Open Access
Automated Cell Type Annotation with Reference Cluster Mapping
Single-cell RNA sequencing has transformed the field of cellular biology by providing unprecedented insights into cellular heterogeneity. However, characterizing scRNA-seq datasets remains a significant challenge. We introduce RefCM, a novel computational method that combines optimal transport and integer programming to enhance the annotation of scRNA clusters using established reference datasets. Our method produces highly accurate cross-technology, cross-tissue, and cross-species mappings while remaining tractable at atlas scale, outperforming existing methods across all these tasks. By providing precise annotations, RefCM can enable the discovery of new cell types, states, and relationships in single-cell transcriptomic data.
Open AccessAutomated Cell Type Annotation with Reference Cluster Mapping
Single-cell RNA sequencing has transformed the field of cellular biology by providing unprecedented insights into cellular heterogeneity. However, characterizing scRNA-seq datasets remains a significant challenge. We introduce RefCM, a novel computational method that combines optimal transport and integer programming to enhance the annotation of scRNA clusters using established reference datasets. Our method produces highly accurate cross-technology, cross-tissue, and cross-species mappings while remaining tractable at atlas scale, outperforming existing methods across all these tasks. By providing precise annotations, RefCM can enable the discovery of new cell types, states, and relationships in single-cell transcriptomic data.
- 7 March 2024
- Published by Wiley in Journal of Biomedical Materials Research Part A
- Vol. 112 (7) , 1138-1148
Improving regulatory T cell production through mechanosensing
Induced Tregs (iTregs) have great promise in adoptive immunotherapy for treatment of autoimmune diseases. This report investigates the impacts of substrate stiffness on human Treg induction, providing a powerful yet simple approach to improving production of these cells. Conventional CD4+ human T cells were activated on materials of different elastic modulus and cultured under suppressive conditions. Enhanced Treg induction was observed on softer materials as early as 3 days following activation and persisted for multiple weeks. Substrate stiffness also affected epigenetic modification of Treg specific genes and Treg suppressive capacity. Tregs induced on substrates of an optimal stiffness balance quantity and suppressive quality.
- 7 March 2024
- Published by Wiley in Journal of Biomedical Materials Research Part A
- Vol. 112 (7) , 1138-1148
Improving regulatory T cell production through mechanosensing
Induced Tregs (iTregs) have great promise in adoptive immunotherapy for treatment of autoimmune diseases. This report investigates the impacts of substrate stiffness on human Treg induction, providing a powerful yet simple approach to improving production of these cells. Conventional CD4+ human T cells were activated on materials of different elastic modulus and cultured under suppressive conditions. Enhanced Treg induction was observed on softer materials as early as 3 days following activation and persisted for multiple weeks. Substrate stiffness also affected epigenetic modification of Treg specific genes and Treg suppressive capacity. Tregs induced on substrates of an optimal stiffness balance quantity and suppressive quality.
- 26 November 2022
- Published by Elsevier in Biomaterials
- Vol. 292, 121928
Substrate stiffness enhances human regulatory T cell induction and metabolism
- 26 November 2022
- Published by Elsevier in Biomaterials
- Vol. 292, 121928
Substrate stiffness enhances human regulatory T cell induction and metabolism
- 1 June 2021
- Published by Elsevier in Biomaterials
- Vol. 273, 120797
Biphasic response of T cell activation to substrate stiffness
- 1 June 2021
- Published by Elsevier in Biomaterials
- Vol. 273, 120797
Biphasic response of T cell activation to substrate stiffness