Evidence map›Paper›PMID 30631869›Full record

ArticleThe Analyst2019

Microfluidic MeDIP-seq for low-input methylomic analysis of mammary tumorigenesis in mice.

Yan Zhu, Zhenning Cao, Chang Lu

Abstract read
In one paragraph

Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yan ZhuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA. changlu@vt.edu.
Zhenning Cao
Chang Lu

Funding

Probing dynamics in protein-DNA interactions during disease development using sinR01EB017235 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2014 to 2017
$1.3M
Next-generation MOWChIP-seq for high-throughput epigenomic profiling using clinically relevant samplesR33CA214176 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2017 to 2019
$1.2M
Ultrasensitive microfluidic ChIP-MethylC-seq for integrative analysis of histone modification and DNA methylationR21HG009256 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2016 to 2018
$604k
NCI NIH HHS R33 CA214176NHGRI NIH HHS R21 HG009256NIBIB NIH HHS R01 EB017235
6 · The paper itself

Abstract

Studies of dynamic epigenomic changes during tumorigenesis using mice often require profiling epigenomes using a tiny quantity of tissue samples. Conventional epigenomic tests do not support such analysis due to the large amount of materials required by these assays. In this study, we developed an ultrasensitive microfluidics-based methylated DNA immunoprecipitation followed by next-generation sequencing (MeDIP-seq) technology for profiling methylomes using as little as 0.5 ng DNA (or ∼100 cells) with 1.5 h on-chip process for immunoprecipitation. This technology enabled us to examine genome-wide DNA methylation in a C3(1)/SV40 T-antigen transgenic mouse model during different stages of mammary cancer development. Using our data, we identified differentially methylated regions and their associated genes in different periods of cancer development. Our results showed that unique methylomic features were presented in various tumor developmental stages.

Indexed as

DNA MethylationAnimalsBiomarkers, TumorCarcinogenesisCpG IslandsEpigenomicsFemaleGenomeMammary Neoplasms, AnimalMiceMice, TransgenicMicrofluidicsSequence Analysis, DNATransgenesBiomarkers, Tumor

Identifiers

PMID30631869
PMCPMC6411450

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.