Results 101 to 110 of about 600,813 (339)

Spatial Transcriptomics Analysis of Spatially Dense Gene Expression Prediction [PDF]

open access: yesarXiv
Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering insights into tissue molecular landscapes. Previous methods for spatial gene expression prediction usually crop spots of interest from pathology tissue slide images, and learn a model that maps each spot to a single gene expression profile.
arxiv  

Circulating tumor cells in metastatic breast cancer patients treated with immune checkpoint inhibitors – a biomarker analysis of the ALICE and ICON trials

open access: yesMolecular Oncology, EarlyView.
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen   +13 more
wiley   +1 more source

Ir-genes in H-2 regulate generation of anti-viral cytotoxic T cells. Mapping to K or D and dominance of unresponsiveness. [PDF]

open access: bronze, 1978
Rolf M. Zinkernagel   +9 more
openalex   +1 more source

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network [PDF]

open access: yesarXiv, 2019
Radiogenomic map linking image features and gene expression profiles is useful for noninvasively identifying molecular properties of a particular type of disease. Conventionally, such map is produced in three separate steps: 1) gene-clustering to "metagenes", 2) image feature extraction, and 3) statistical correlation between metagenes and image ...
arxiv  

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

open access: yesMolecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi   +6 more
wiley   +1 more source

Genetic mapping of xthA, the structural gene for exonuclease III in Escherichia coli K-12 [PDF]

open access: bronze, 1976
Bradley J. White   +3 more
openalex   +1 more source

Roadblocked monotonic paths and the enumeration of coalescent histories for non-matching caterpillar gene trees and species trees [PDF]

open access: yesarXiv, 2019
Given a gene tree topology and a species tree topology, a coalescent history represents a possible mapping of the list of gene tree coalescences to associated branches of a species tree on which those coalescences take place. Enumerative properties of coalescent histories have been of interest in the analysis of relationships between gene trees and ...
arxiv  

On‐treatment dynamics of circulating extracellular vesicles in the first‐line setting of patients with advanced non‐small cell lung cancer: the LEXOVE prospective study

open access: yesMolecular Oncology, EarlyView.
The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina   +17 more
wiley   +1 more source

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