Results 91 to 100 of about 28,348 (298)
Mis- and disinformation studies are too big to fail: Six suggestions for the field’s future [PDF]
Chico Q. Camargo, Felix M. Simon
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This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani+14 more
wiley +1 more source
Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma+9 more
wiley +1 more source
Too big not to fail: emerging evidence for size‐induced senescence [PDF]
Sandhya Manohar, Gabriel E. Neurohr
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The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song+11 more
wiley +1 more source
Robust and Efficient Harmonics Denoising in Large Dataset Based on Random SVD and Soft Thresholding
The Hankel matrix of harmonic signals has the important low-rank property, based on which the principal components (or the eigenvectors) extracted from the matrix by singular value decomposition (SVD) could be applied for harmonic signal denoising ...
Yu Yang, Jian Rao
doaj +1 more source
How Big a Problem is Too Big to Fail? [PDF]
This review essay examines whether too-big-to-fail is as serious a problem as Gary Stern and Ron Feldman contend. This essay argues that Stern and Feldman overstate the importance of the too-big-to-fail problem and do not give enough credit to the FDICIA legislation of 1991 for improving bank regulation and supervision.
Frederic S. Mishkin, Frederic S. Mishkin
openaire +1 more source
TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach+8 more
wiley +1 more source