Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Transcriptome analysis combined with single-cell analysis identified that APOC1 influences cholesterol transport by macrophages in ccRCC
by
Han, Zhenwei
, Wang, Hu
, Ma, Ziyang
, Guo, Fengran
in
631/250
/ 631/67
/ 692/4028
/ APOC1
/ Apolipoprotein C-I - genetics
/ Apolipoprotein C-I - metabolism
/ Apolipoproteins
/ Apoptosis
/ Bioinformatics
/ Biological Transport
/ Carcinoma, Renal Cell - genetics
/ Carcinoma, Renal Cell - metabolism
/ Carcinoma, Renal Cell - pathology
/ ccRCC
/ Cell Line, Tumor
/ Cell Movement - genetics
/ Cell Proliferation
/ Cells
/ Cholesterol
/ Cholesterol - metabolism
/ Clear cell-type renal cell carcinoma
/ Clinical outcomes
/ Correlation analysis
/ Cytokines
/ Datasets
/ Flow cytometry
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Immunofluorescence
/ Immunohistochemistry
/ Immunotherapy
/ Kidney cancer
/ Kidney Neoplasms - genetics
/ Kidney Neoplasms - metabolism
/ Kidney Neoplasms - pathology
/ Kinases
/ Leukocyte migration
/ Macrophages
/ Macrophages - metabolism
/ Mann-Whitney U test
/ Medical prognosis
/ Medical research
/ Metabolism
/ Metastasis
/ multidisciplinary
/ Mutation
/ Phenotypes
/ Ribonucleic acid
/ RNA
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis - methods
/ Single-cell RNA sequencing
/ Software packages
/ Statistical significance
/ Survival analysis
/ Transcriptome
/ Transcriptomes
/ Western blotting
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Transcriptome analysis combined with single-cell analysis identified that APOC1 influences cholesterol transport by macrophages in ccRCC
by
Han, Zhenwei
, Wang, Hu
, Ma, Ziyang
, Guo, Fengran
in
631/250
/ 631/67
/ 692/4028
/ APOC1
/ Apolipoprotein C-I - genetics
/ Apolipoprotein C-I - metabolism
/ Apolipoproteins
/ Apoptosis
/ Bioinformatics
/ Biological Transport
/ Carcinoma, Renal Cell - genetics
/ Carcinoma, Renal Cell - metabolism
/ Carcinoma, Renal Cell - pathology
/ ccRCC
/ Cell Line, Tumor
/ Cell Movement - genetics
/ Cell Proliferation
/ Cells
/ Cholesterol
/ Cholesterol - metabolism
/ Clear cell-type renal cell carcinoma
/ Clinical outcomes
/ Correlation analysis
/ Cytokines
/ Datasets
/ Flow cytometry
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Immunofluorescence
/ Immunohistochemistry
/ Immunotherapy
/ Kidney cancer
/ Kidney Neoplasms - genetics
/ Kidney Neoplasms - metabolism
/ Kidney Neoplasms - pathology
/ Kinases
/ Leukocyte migration
/ Macrophages
/ Macrophages - metabolism
/ Mann-Whitney U test
/ Medical prognosis
/ Medical research
/ Metabolism
/ Metastasis
/ multidisciplinary
/ Mutation
/ Phenotypes
/ Ribonucleic acid
/ RNA
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis - methods
/ Single-cell RNA sequencing
/ Software packages
/ Statistical significance
/ Survival analysis
/ Transcriptome
/ Transcriptomes
/ Western blotting
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Transcriptome analysis combined with single-cell analysis identified that APOC1 influences cholesterol transport by macrophages in ccRCC
by
Han, Zhenwei
, Wang, Hu
, Ma, Ziyang
, Guo, Fengran
in
631/250
/ 631/67
/ 692/4028
/ APOC1
/ Apolipoprotein C-I - genetics
/ Apolipoprotein C-I - metabolism
/ Apolipoproteins
/ Apoptosis
/ Bioinformatics
/ Biological Transport
/ Carcinoma, Renal Cell - genetics
/ Carcinoma, Renal Cell - metabolism
/ Carcinoma, Renal Cell - pathology
/ ccRCC
/ Cell Line, Tumor
/ Cell Movement - genetics
/ Cell Proliferation
/ Cells
/ Cholesterol
/ Cholesterol - metabolism
/ Clear cell-type renal cell carcinoma
/ Clinical outcomes
/ Correlation analysis
/ Cytokines
/ Datasets
/ Flow cytometry
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Immunofluorescence
/ Immunohistochemistry
/ Immunotherapy
/ Kidney cancer
/ Kidney Neoplasms - genetics
/ Kidney Neoplasms - metabolism
/ Kidney Neoplasms - pathology
/ Kinases
/ Leukocyte migration
/ Macrophages
/ Macrophages - metabolism
/ Mann-Whitney U test
/ Medical prognosis
/ Medical research
/ Metabolism
/ Metastasis
/ multidisciplinary
/ Mutation
/ Phenotypes
/ Ribonucleic acid
/ RNA
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis - methods
/ Single-cell RNA sequencing
/ Software packages
/ Statistical significance
/ Survival analysis
/ Transcriptome
/ Transcriptomes
/ Western blotting
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Transcriptome analysis combined with single-cell analysis identified that APOC1 influences cholesterol transport by macrophages in ccRCC
Journal Article
Transcriptome analysis combined with single-cell analysis identified that APOC1 influences cholesterol transport by macrophages in ccRCC
2025
Request Book From Autostore
and Choose the Collection Method
Overview
Renal cell carcinoma (RCC) is one of the most prevalent categories of cancer worldwide, accounting for approximately 2% of cancer diagnoses and cancer deaths worldwide. various immunotherapeutic strategies have emerged as key approaches to managing advanced RCC. Bioinformatics methodologies were employed to analyze the TCGA-KIRC RNA sequencing dataset, GSE105261, GSE168845, and single-cell dataset GSE121636. Various techniques, including PCR, Western blotting, migration assays, scratch wound assays, flow cytometry, and immunofluorescence staining, were utilized to elucidate the functional characteristics of the tumor. In this study, we obtained transcriptome RNA sequencing data from the Cancer Genome Atlas (TCGA) database. Using the ESTIMATE algorithm, 249 immune-related genes were identified. Additionally, single-cell RNA sequencing data were integrated to determine the immune-related genes that affect the prognosis of clear cell renal cell carcinoma (ccRCC). Eventually, a total of 42 immune-related genes (IMDGs) were identified. Subsequently, in vitro experiments confirmed that APOC1 is highly expressed in ccRCC and significantly affects the migration and proliferation of ccRCC cells. Furthermore, our findings indicate that APOC1 plays a critical role in modulating cholesterol transport within macrophages and significantly contributes to the polarization of macrophages toward the M2 phenotype.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 631/67
/ 692/4028
/ APOC1
/ Apolipoprotein C-I - genetics
/ Apolipoprotein C-I - metabolism
/ Carcinoma, Renal Cell - genetics
/ Carcinoma, Renal Cell - metabolism
/ Carcinoma, Renal Cell - pathology
/ ccRCC
/ Cells
/ Clear cell-type renal cell carcinoma
/ Datasets
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Kidney Neoplasms - metabolism
/ Kidney Neoplasms - pathology
/ Kinases
/ Mutation
/ RNA
/ Science
This website uses cookies to ensure you get the best experience on our website.