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Whole-genome sequencing reveals the molecular implications of the stepwise progression of lung adenocarcinoma.

Nature communications | 2023

The mechanism underlying the development of tumors, particularly at early stages, still remains mostly elusive. Here, we report whole-genome long and short read sequencing analysis of 76 lung cancers, focusing on very early-stage lung adenocarcinomas such as adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma. The obtained data is further integrated with bulk and spatial transcriptomic data and epigenomic data. These analyses reveal key events in lung carcinogenesis. Minimal somatic mutations in pivotal driver mutations and essential proliferative factors are the only detectable somatic mutations in the very early-stage of AIS. These initial events are followed by copy number changes and global DNA hypomethylation. Particularly, drastic changes are initiated at the later AIS stage, i.e., in Noguchi type B tumors, wherein cancer cells are exposed to the surrounding microenvironment. This study sheds light on the pathogenesis of lung adenocarcinoma from integrated pathological and molecular viewpoints.

Pubmed ID: 38102134 RIS Download

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


BLASTN (tool)

RRID:SCR_001598

Web application to search nucleotide databases using a nucleotide query. Algorithms: blastn, megablast, discontiguous megablast.

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GATK (tool)

RRID:SCR_001876

A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software)

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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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COSMIC - Catalogue Of Somatic Mutations In Cancer (tool)

RRID:SCR_002260

Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.

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STAR (tool)

RRID:SCR_004463

Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays.

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SAMtools/BCFtools (tool)

RRID:SCR_005227

Provide various utilities for manipulating alignments in the SAM format, including sorting, merging, indexing and generating alignments in a per-position format.

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Picard (tool)

RRID:SCR_006525

Java toolset for working with next generation sequencing data in the BAM format.

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Control-FREEC (tool)

RRID:SCR_010822

Prediction of copy number alterations and loss of heterozygosity using deep-sequencing data.

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featureCounts (tool)

RRID:SCR_012919

A read summarization program, which counts mapped reads for the genomic features such as genes and exons.

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Agilent Technologies (tool)

RRID:SCR_013575

Company provides laboratories worldwide with analytical instruments and supplies, clinical and diagnostic testing services, consumables, applications and expertise in life sciences and applied chemical markets.

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DESeq2 (tool)

RRID:SCR_015687

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

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Nanopolish (tool)

RRID:SCR_016157

Software package for signal-level analysis of Oxford Nanopore sequencing data.

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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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Power Analysis and Sample Size software (tool)

RRID:SCR_019099

Sample size software for clinical trial, pharmaceutical, and other medical research where sample size calculation or evaluation is needed. Provides sample size tools for statistical test and confidence interval scenarios. Each tool has been validated with published articles and texts.

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BWA-MEM2 (tool)

RRID:SCR_022192

Software tool for sequence mapping.The next version of BWA-MEM. Used for aligning sequencing reads against large reference genome.

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SigProfilerExtractor (tool)

RRID:SCR_023121

Software tool for de novo extraction of mutational signatures from data generated in matrix format. Identifies number of operative mutational signatures, their activities in each sample, and probability for each signature to cause specific mutation type in cancer sample.

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