140 results on '"Kar, Gozde"'
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2. Ferroptosis of tumour neutrophils causes immune suppression in cancer
3. Supplementary Appendix from Neoadjuvant Durvalumab Alone or Combined with Novel Immuno-Oncology Agents in Resectable Lung Cancer: The Phase II NeoCOAST Platform Trial
4. Data from Neoadjuvant Durvalumab Alone or Combined with Novel Immuno-Oncology Agents in Resectable Lung Cancer: The Phase II NeoCOAST Platform Trial
5. Supplementary Data - Supplementary Table 7 from Neoadjuvant Durvalumab Alone or Combined with Novel Immuno-Oncology Agents in Resectable Lung Cancer: The Phase II NeoCOAST Platform Trial
6. 877 Intermittent dosing of the ataxia telangiectasia and Rad3-related (ATR) inhibitor ceralasertib promotes antitumor immunity by remodelling the tumor immune microenvironment in pre-clinical models
7. 785 mAZD0171 mediated LIF blockade in combination with chemotherapy and PD-L1 inhibition repolarizes macrophages and increases T cell infiltration via CX3CR1-CX3CL1 axis
8. Neoadjuvant Durvalumab Alone or Combined with Novel Immuno-Oncology Agents in Resectable Lung Cancer: The Phase II NeoCOAST Platform Trial
9. A cellular census of human lungs identifies novel cell states in health and in asthma
10. CD73 Inhibitor Oleclumab Plus Osimertinib in Previously Treated Patients With Advanced T790M-Negative EGFR-Mutated NSCLC: A Brief Report
11. Tumors induce de novo steroid biosynthesis in T cells to evade immunity
12. Distinct mechanisms govern populations of myeloid-derived suppressor cells in chronic viral infection and cancer
13. Efficacy and pharmacodynamic effect of anti-CD73 and anti-PD-L1 monoclonal antibodies in combination with cytotoxic therapy: observations from mouse tumor models.
14. Single cell analysis of human foetal liver captures the transcriptional profile of hepatobiliary hybrid progenitors
15. Abstract C046: Polymorphonuclear myeloid derived suppressor cells die by ferroptosis in the tumor microenvironment
16. Abstract 1293: AZD0171 (anti-LIF) combines productively with chemotherapy and anti-PD-L1 in mouse models of cancer
17. Direct targeting of FOXP3 in Tregs with AZD8701, a novel antisense oligonucleotide to relieve immunosuppression in cancer
18. Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expression
19. Allostery and population shift in drug discovery
20. Abstract 1584: Efficacy and pharmacodynamic effect of anti-CD73/PD-L1 monoclonal antibodies in combination with chemotherapy: Observations from mouse tumor models
21. Abstract 390: Identification of a novel immunosuppressive myeloid gene expression signature for clinical biomarker development
22. Mapping Rora expression in resting and activated CD4+ T cells
23. Mapping Rora expression in resting and activated CD4+ T cells
24. Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth
25. A survey of available tools and web servers for analysis of protein–protein interactions and interfaces
26. Roraregulates activated T helper cells during inflammation
27. Tumors inducede novosteroid biosynthesis in T cells to evade immunity
28. Single-cell RNA sequencing reveals a dynamic stromal niche within the evolving tumour microenvironment
29. Erratum to: Single cell analysis of CD4+ T cell differentiation reveals three major cell states and progressive acceleration of proliferation [Genome Biol. 17 (2016) 103]
30. Computational approaches for interpreting scRNA-seq data
31. Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation
32. Novel cell types and altered cell states in asthma revealed by single-cell RNA sequencing of airway wall biopsies.
33. Single-cell analysis identifies EpCAM+/CDH6+/TROP-2−cells as human liver progenitors
34. Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
35. The IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation
36. Wounding induces dedifferentiation of epidermal Gata6 + cells and acquisition of stem cell properties
37. Wounding induces dedifferentiation of epidermal Gata6 + cells and acquisition of stem cell properties
38. Towards inferring time dimensionality in protein–protein interaction networks by integrating structures: the p53 example† †This article is part of a Molecular BioSystems themed issue on Computational and Systems Biology
39. Computational approaches for interpreting sc RNA ‐seq data
40. Wounding induces dedifferentiation of epidermal Gata6+ cells and acquisition of stem cell properties
41. Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expression
42. Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation
43. Erratum to: Single cell analysis of CD4+ T cell differentiation reveals three major cell states and progressive acceleration of proliferation
44. Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation
45. Emerging Role of the Ubiquitin-proteasome System as Drug Targets
46. Protein-protein Interfaces Integrated into Interaction Networks: Implications on Drug Design
47. Human Proteome-scale Structural Modeling of E2–E3 Interactions Exploiting Interface Motifs
48. Wounding induces dedifferentiation of epidermal Gata6+cells and acquisition of stem cell properties
49. Determination of the correspondence between mobility (rigidity) and conservation of the interface residues
50. Human Cancer Protein-Protein Interaction Network: A Structural Perspective
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