paper-with-me

Papers

Diversity in the radiation-induced transcriptomic temporal response of mouse brain tissue regions

2024-04-29 · Karolina Kulis, Sarah Baatout, Kevin Tabury, Joanna Polanska, Mohammed Abderrafi Benotmane

A number of studies have indicated a potential association between prenatal exposure to radiation and late mental disabilities. This is believed to be due to long-term developmental changes and functional impairment of the central nervous system following radiation exposure during gestation. This study conducted a bioinformatics analysis on transcriptomic profiles from mouse brain tissue prenatally exposed to increasing doses of X-radiation. Gene expression levels were assessed in different brain regions (cortex, hippocampus, cerebellum) and collected at different time points (at 1 and 6 months after birth) for C57BL mice exposed at embryonic day E11 to varying doses of radiation (0, 0.1 and 1 Gy). This study aimed to elucidate the differences in response to radiation between different brain regions at different intervals after birth (1 and 6 months). The data was visualised using a two-dimensional Uniform Manifold Approximation and Projection (UMAP) projection, and the influence of the factors was investigated using analysis of variance (ANOVA). It was observed that gene expression was influenced by each factor (tissue, time, and dose), although to varying degrees. The gene expression trend within doses was compared for each tissue, as well as the significant pathways between tissues at different time intervals. Furthermore, in addition to radiation-responsive pathways, Cytoscape's functional and network analyses revealed changes in various pathways related to cognition, which is consistent with previously published data [1] [2] [3], indicating late behavioural changes in animals prenatally exposed to radiation.

📄 PDF Abstract BibTeX arXiv:2404.18660

Code (0)

등록된 구현이 없습니다.

Tasks

DiversityHippocampus

Similar Papers 제목 키워드 기반

Network Pharmacology Reveals HSPA1A/BST2 as Potential Targets of Ci Bai Capsule's Active Compounds Intervening in Leukopenia

2025-06-13 · DingFan Zhang, Congshu Huang, Lei Zhou, Boyang Wang 외

Background: Radiation-induced leukopenia caused by low-dose exposure is frequently associated with Traditional Chinese Medicine (TCM) syndromes like "blood deficiency" and "fatigue syndrome". Ci Bai Capsule (CB) has been…

Integrated Transcriptomic-proteomic Biomarker Identification for Radiation Response Prediction in Non-small Cell Lung Cancer Cell Lines

2025-11-27 · Yajun Yu, Guoping Xu, Steve Jiang, Robert Timmerman 외 arxiv

To develop an integrated transcriptome-proteome framework for identifying concurrent biomarkers predictive of radiation response, as measured by survival fraction at 2 Gy (SF2), in non-small cell lung cancer (NSCLC) cell…

Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations

2026-07-06 · Dongmin Bang, Sugyun An, Inyoung Sung, Ilho Yun 외 arxiv

Accurate prediction of patient-specific therapeutic response from pre-treatment transcriptomes is hindered by the scarcity of matched clinical response labels and post-treatment molecular profiles. Preclinical transfer-l…

Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells

2026-03-26 · Han Zhang, Guo-Hua Yuan, Chaohao Yuan, Tingyang Xu 외 arxiv

Modeling cellular states and predicting their responses to perturbations are central challenges in computational biology and the development of virtual cells. Existing foundation models for single-cell transcriptomics pr…

Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling

2024-09-09 · Stathis Megas, Daniel G. Chen, Krzysztof Polanski, Moshe Eliasof 외

Celcomen leverages a mathematical causality framework to disentangle intra- and inter- cellular gene regulation programs in spatial transcriptomics and single-cell data through a generative graph neural network. It can l…

counterfactualDisentanglementGraph Neural Network