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Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus.

Zhuangyuan Tang | Shuo Wang | Xi Li | Chengbin Hu | Qiangrong Zhai | Jing Wang | Qingshi Ye | Jinnan Liu | Guohong Zhang | Yuanyuan Guo | Fengxia Su | Huikun Liu | Lingyao Guan | Chang Jiang | Jiayu Chen | Min Li | Fangyi Ren | Yu Zhang | Minjuan Huang | Lingguo Li | Haiqiang Zhang | Guixue Hou | Xin Jin | Fang Chen | Huanhuan Zhu | Linxuan Li | Jingyu Zeng | Han Xiao | Aifen Zhou | Lingyan Feng | Ya Gao | Gongshu Liu
Cell reports. Medicine | 2024

Gestational diabetes mellitus (GDM) presents varied manifestations throughout pregnancy and poses a complex clinical challenge. High-depth cell-free DNA (cfDNA) sequencing analysis holds promise in advancing our understanding of GDM pathogenesis and prediction. In 299 women with GDM and 299 matched healthy pregnant women, distinct cfDNA fragment characteristics associated with GDM are identified throughout pregnancy. Integrating cfDNA profiles with lipidomic and single-cell transcriptomic data elucidates functional changes linked to altered lipid metabolism processes in GDM. Transcription start site (TSS) scores in 50 feature genes are used as the cfDNA signature to distinguish GDM cases from controls effectively. Notably, differential coverage of the islet acinar marker gene PRSS1 emerges as a valuable biomarker for GDM. A specialized neural network model is developed, predicting GDM occurrence and validated across two independent cohorts. This research underscores the high-depth cfDNA early prediction and characterization of GDM, offering insights into its molecular underpinnings and potential clinical applications.

Pubmed ID: 39059385

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This is a list of tools and resources that we have found mentioned in this publication.


R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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SAMTOOLS (tool)

RRID:SCR_002105

Original SAMTOOLS package has been split into three separate repositories including Samtools, BCFtools and HTSlib. Samtools for manipulating next generation sequencing data used for reading, writing, editing, indexing,viewing nucleotide alignments in SAM,BAM,CRAM format. BCFtools used for reading, writing BCF2,VCF, gVCF files and calling, filtering, summarising SNP and short indel sequence variants. HTSlib used for reading, writing high throughput sequencing data.

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scikit-learn (tool)

RRID:SCR_002577

scikit-learn: machine learning in Python

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Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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biobambam (tool)

RRID:SCR_003308

Software tools for read pair collation based algorithms on BAM files including * bamcollate2: reads BAM and writes BAM reordered such that alignment or collated by query name * bammarkduplicates: reads BAM and writes BAM with duplicate alignments marked using the BAM flags field * bammaskflags: reads BAM and writes BAM while masking (removing) bits from the flags column * bamrecompress: reads BAM and writes BAM with a defined compression setting. This tool is capable of multi-threading. * bamsort: reads BAM and writes BAM resorted by coordinates or query name * bamtofastq: reads BAM and writes FastQ; output can be collated or uncollated by query name

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R package: lme4 (tool)

RRID:SCR_015654

Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue."

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Bamtools (tool)

RRID:SCR_015987

Software that provides both a C++ API and a command-line toolkit for reading, writing, and manipulating genome sequence alignment files in the BAM and SAM formats. It is used for research analysis and management of data produced by sequencing technologies.

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tensorflow (tool)

RRID:SCR_016345

Software as an open source machine learning framework for everyone. Library for high performance numerical computation. Allows deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

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fastp (tool)

RRID:SCR_016962

Software tool to provide fast all in one preprocessing for FastQ files. Developed in C++ with multithreading supported to afford high performance. Performs quality control, adapter trimming, quality filtering, per read quality pruning and many other operations with a single scan of the FASTQ data.

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Biorender (tool)

RRID:SCR_018361

Web tool for graphical illustrations for biological systems by BioRender. Used for articles and presentations. Collection of pre made icons and templates from life science fields for scientific illustrations. Customized icons possible on request.

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Minimap2 (tool)

RRID:SCR_018550

Software tool as pairwise alignment for nucleotide sequences. Alignment program to map DNA or long mRNA sequences against large reference database. Versatile pairwise aligner for genomic and spliced nucleotide sequences.

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ggraph (tool)

RRID:SCR_021239

Software tool as extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding concept of layouts to grammar.

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LipidSearch (tool)

RRID:SCR_023716

Software for automated identification and relative quantitation of lipids. Provides automated identification of lipids and integrates entire dataset into concise report showing statistical differences between sample groups.

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