Lingting Shi
@lingting-shi.bsky.social
T32 GEIC Postdoctoral research scientist co-mentored by @elhamazizi and @joselmcfaline @Cancer_dynamics, Ph.D. @columbiaBME, NSF Graduate Research Fellow (2019-2022)
Had the great opportunity to attend and present my project in @jlmcfalinefigueroa.bsky.social lab, leveraging the tools developed in the @elhamazizi.bsky.social lab in the Genome Engineering: CRISPR Frontiers meeting at the @cshlnews.bsky.social Cold Spring Harbor Laboratory last week.
August 19, 2025 at 4:46 AM
Had the great opportunity to attend and present my project in @jlmcfalinefigueroa.bsky.social lab, leveraging the tools developed in the @elhamazizi.bsky.social lab in the Genome Engineering: CRISPR Frontiers meeting at the @cshlnews.bsky.social Cold Spring Harbor Laboratory last week.
8/🧬
🌍 We used the first, to our knowledge, Visium HD dataset from human gut tissue in GVHD—2µm resolution—to show that CD8⁺ effector T cells cluster near intestinal stem cells in Severe GVHD and are enriched in crypt loss region, suggesting these effector cells drive tissue damage.
🌍 We used the first, to our knowledge, Visium HD dataset from human gut tissue in GVHD—2µm resolution—to show that CD8⁺ effector T cells cluster near intestinal stem cells in Severe GVHD and are enriched in crypt loss region, suggesting these effector cells drive tissue damage.
May 29, 2025 at 5:10 PM
8/🧬
🌍 We used the first, to our knowledge, Visium HD dataset from human gut tissue in GVHD—2µm resolution—to show that CD8⁺ effector T cells cluster near intestinal stem cells in Severe GVHD and are enriched in crypt loss region, suggesting these effector cells drive tissue damage.
🌍 We used the first, to our knowledge, Visium HD dataset from human gut tissue in GVHD—2µm resolution—to show that CD8⁺ effector T cells cluster near intestinal stem cells in Severe GVHD and are enriched in crypt loss region, suggesting these effector cells drive tissue damage.
7/🧬
🧠 Key finding:
👀 Here’s the Decipher map showing clonal trajectories across tissue compartments. We discovered that cytototix CD8⁺ T cell clones are clonally expanded, change state as they move between gut layers, and acquire resident memory (Hobit⁺ Trm) phenotypes.
🧠 Key finding:
👀 Here’s the Decipher map showing clonal trajectories across tissue compartments. We discovered that cytototix CD8⁺ T cell clones are clonally expanded, change state as they move between gut layers, and acquire resident memory (Hobit⁺ Trm) phenotypes.
May 29, 2025 at 5:03 PM
7/🧬
🧠 Key finding:
👀 Here’s the Decipher map showing clonal trajectories across tissue compartments. We discovered that cytototix CD8⁺ T cell clones are clonally expanded, change state as they move between gut layers, and acquire resident memory (Hobit⁺ Trm) phenotypes.
🧠 Key finding:
👀 Here’s the Decipher map showing clonal trajectories across tissue compartments. We discovered that cytototix CD8⁺ T cell clones are clonally expanded, change state as they move between gut layers, and acquire resident memory (Hobit⁺ Trm) phenotypes.
6/🧬
📈 DecompTCR uncovers which clones persist, expand, and associate with GVHD severity.
📈 DecompTCR uncovers which clones persist, expand, and associate with GVHD severity.
May 29, 2025 at 5:01 PM
6/🧬
📈 DecompTCR uncovers which clones persist, expand, and associate with GVHD severity.
📈 DecompTCR uncovers which clones persist, expand, and associate with GVHD severity.
5/ 🧬
🧪 We developed StarfyshHD, a spatial transcriptomics analysis tool tailored for Visium HD data to integrate multiple samples, map fine-grained cell states, and identify spatial hubs (unique composition of cell types).
🧪 We developed StarfyshHD, a spatial transcriptomics analysis tool tailored for Visium HD data to integrate multiple samples, map fine-grained cell states, and identify spatial hubs (unique composition of cell types).
May 29, 2025 at 4:59 PM
5/ 🧬
🧪 We developed StarfyshHD, a spatial transcriptomics analysis tool tailored for Visium HD data to integrate multiple samples, map fine-grained cell states, and identify spatial hubs (unique composition of cell types).
🧪 We developed StarfyshHD, a spatial transcriptomics analysis tool tailored for Visium HD data to integrate multiple samples, map fine-grained cell states, and identify spatial hubs (unique composition of cell types).
3/🧬 We built #DecompTCR, a new model to resolve T cell clonal dynamics over time.
May 29, 2025 at 4:55 PM
3/🧬 We built #DecompTCR, a new model to resolve T cell clonal dynamics over time.
I just presented my work at the @keystonesymposia.bsky.social Single Cell Biology-where we tracked how human T cells evolve across time and space during #GVHD. And it changes everything.
💡 It’s not just infiltration—T cells adapt and shift phenotype as they migrate through tissue.
bioarxiv link 👇
💡 It’s not just infiltration—T cells adapt and shift phenotype as they migrate through tissue.
bioarxiv link 👇
May 29, 2025 at 4:45 PM
I just presented my work at the @keystonesymposia.bsky.social Single Cell Biology-where we tracked how human T cells evolve across time and space during #GVHD. And it changes everything.
💡 It’s not just infiltration—T cells adapt and shift phenotype as they migrate through tissue.
bioarxiv link 👇
💡 It’s not just infiltration—T cells adapt and shift phenotype as they migrate through tissue.
bioarxiv link 👇
#ASH2024 Just finished presenting in the largest room ever! 🎉 So grateful for my amazing team and mentors @elhamazizi.bsky.social and ReshefLab for their support in sharing our work on immune profiling in GVHD. Wonderful moment to remember! #GVHD
December 9, 2024 at 4:22 AM
#ASH2024 Just finished presenting in the largest room ever! 🎉 So grateful for my amazing team and mentors @elhamazizi.bsky.social and ReshefLab for their support in sharing our work on immune profiling in GVHD. Wonderful moment to remember! #GVHD