You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: _bibliography/pubs.bib
+4Lines changed: 4 additions & 0 deletions
Original file line number
Diff line number
Diff line change
@@ -1330,6 +1330,7 @@ @Article{ CoH2024
1330
1330
doi = {10.1038/s41540-024-00447-0},
1331
1331
day = 10,
1332
1332
number = 118,
1333
+
pmid = {39389979},
1333
1334
abstract = {Cytokines mediate cell-to-cell communication across the immune system and therefore are
1334
1335
critical to immunosurveillance in cancer and other diseases. Several cytokines show
1335
1336
dysregulated abundance or signaling responses in breast cancer, associated with the disease
@@ -1361,6 +1362,7 @@ @Article{ Tan2024
1361
1362
day = 21,
1362
1363
volume = 15,
1363
1364
number = 8,
1365
+
pmid = {39173584},
1364
1366
abstract = {Recent biological studies have been revolutionized in scale and granularity by multiplex and high-throughput assays. Profiling cell responses across several experimental parameters, such as perturbations, time, and genetic contexts, leads to richer and more generalizable findings. However, these multidimensional datasets necessitate a reevaluation of the conventional methods for their representation and analysis. Traditionally, experimental parameters are merged to flatten the data into a two-dimensional matrix, sacrificing crucial experiment context reflected by the structure. As Marshall McLuhan famously stated, “the medium is the message.” In this work, we propose that the experiment structure is the medium in which subsequent analysis is performed, and the optimal choice of data representation must reflect the experiment structure. We review how tensor-structured analyses and decompositions can preserve this information. We contend that tensor methods are poised to become integral to the biomedical data sciences toolkit.},
abstract = {As important immune regulatory cells, whether innate lymphoid cells (ILCs) are involved in liver transplantation (LT) remains unclear. In a murine orthotopic LT model, we dissected roles of ILCs in liver ischemia-reperfusion injury (IRI). Wild type (WT) grafts suffered significantly higher IRI in Rag2-γc double knockout (DKO) than Rag2 KO recipients, in association with downregulation of group 1 ILCs genes, including IFN-γ. Antibody-mediated ILC depletion or IFN-γ neutralization in Rag2 KO recipients increased, while IFN-γ treatment in DKO recipients reduced, liver graft injuries. At the donor side, grafts from DKO mice or anti-NK1.1-treated WT mice suffered significantly higher IRI, while grafts treated with IFN-γ during cold preservation decreased IRI. Thus, both recipient and donor group 1 ILCs protect liver grafts from IRI. Low-dose IFN-γ upregulated c-FLIP expression in vitro and in vivo, and protected hepatocytes from inflammatory cell death. In human liver graft biopsies, single-cell RNA-sequencing analysis revealed group 1 ILCs produce IFN-γ. The c-FLIP levels were positively correlated with IFN-γ in pre-transplant biopsies. Grafts with higher c-FLIP were associated with lower caspase-8 activation, IRI gradings, and frequency of early allograft dysfunction post-LT. Our study reveals a novel IFN-γ-mediated cytoprotective role of group 1 ILCs in LT.},
0 commit comments