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A Metatranscriptome approach to investigate active microbial communities in Diabetes Related Foot Osteomyelitis

NIAID Data Ecosystem2026-03-13 收录

糖尿病足溃疡微生物组

宏转录组学感染分析

数据链接：

https://www.ncbi.nlm.nih.gov/bioproject/PRJNA832884 数据链接链接失效反馈

官方服务：

资源简介：

Metatranscriptomic analysis of total-RNA sequencing data isolated from diabetic foot osteomyelitis samples

应用场景：

创建时间：

2022-04-28

糖尿病足溃疡微生物组

伤口愈合机制

Chronic, non-healing wounds are a major complication of diabetes associated with high morbidity and health care expenditures estimated at $9-13 billion annually in the US. Though microbial infection a

NIAID Data Ecosystem60

Metatranscriptomics analysis of bacterial communities during diabetic foot infection progression

糖尿病足溃疡微生物组

宏转录组

Analysis of metabolically active bacterial communities and human response in diabetic wounds

NIAID Data Ecosystem40

Additional file 2 of Concordance between culture, Molecular Culture and Illumina 16S rRNA gene amplicon sequencing of bone and ulcer bed biopsies in people with diabetic foot osteomyelitis

糖尿病足溃疡微生物组

16SrRNA测序方法学比较

Additional file 2: Supplementary data 2.

Figshare2023-08-01 更新20

Data for: A multi-omics approach identifies host-microbe alterations associated with infection severity in diabetic foot infections.

糖尿病足溃疡微生物组

宿主-微生物多组学分析

Raw data derived from: 1. Microbial and host RNAseq analysis (raw counts) 2. Metagenome analysis using Humann2 (raw output data)

NIAID Data Ecosystem50

Bacterial Bioburden Characterization of Infected Diabetic Foot Ulcers in Hospitalized Patients in Association with Clinical Outcomes: Traditional Cultures vs. Molecular Sequencing Methods.

糖尿病足溃疡微生物组

感染病原体检测方法比较

Background: Infected diabetic foot ulcers (IDFU) are a major complication of diabetes mellitus (DM). These potentially limb-threatening ulcers are challenging to treat due to the impairment of wound h

NIAID Data Ecosystem20

A Metatranscriptome approach to investigate active microbial communities in Diabetes Related Foot Osteomyelitis

资源简介：

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