Evidence map›Paper›PMID 30082875›Full record

ArticleScientific reports2018

Comprehensive profiling of transcriptional networks specific for lactogenic differentiation of HC11 mammary epithelial stem-like cells.

Trinadha Rao Sornapudi, Rakhee Nayak, Prashanth Kumar Guthikonda, Anil Kumar Pasupulati, Srinivas Kethavath, Vanita Uppada, Sukalpa Mondal, Sailu Yellaboina, Sreenivasulu Kurukuti

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Trinadha Rao SornapudiDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Rakhee NayakDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Prashanth Kumar GuthikondaDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Anil Kumar PasupulatiDepartment of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Srinivas KethavathDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Vanita UppadaDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Sukalpa MondalDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India.
Sailu YellaboinaCR Rao Advanced Institute of Mathematics, Statistics and Computer Sciences, University of Hyderabad campus, Gachibowli, Hyderabad, 500046, India.
Sreenivasulu KurukutiDepartment of Animal Biology, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India. skurukuti@uohyd.ac.in.
University of Hyderabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of mammary gland as a lactogenic tissue is a highly coordinated multistep process. The epithelial cells of lactiferous tubules undergo profound changes during the developmental window of puberty, pregnancy, and lactation. Several hormones including estrogen, progesterone, glucocorticoids and prolactin act in concert, and orchestrate the development of mammary gland. Understanding the gene regulatory networks that coordinate proliferation and differentiation of HC11 Mammary Epithelial stem-like Cells (MEC) under the influence of lactogenic hormones is critical for elucidating the mechanism of lactogenesis in detail. In this study, we analyzed transcriptome profiles of undifferentiated MEC (normal) and compared them with Murine Embryonic Stem Cells (ESC) using next-generation mRNA sequencing. Further, we analyzed the transcriptome output during lactogenic differentiation of MEC following treatment with glucocorticoids (primed state) and both glucocorticoids and prolactin together (prolactin state). We established stage-specific gene regulatory networks in ESC and MEC (normal, priming and prolactin states). We validated the top up-and downregulated genes in each stage of differentiation of MEC by RT-PCR and found that they are comparable with that of RNA-seq data. HC11 MEC display decreased expression of Pou5f1 and Sox2, which is crucial for the differentiation of MEC, which otherwise ensure pluripotency to ESC. Cited4 is induced during priming and is involved in milk secretion. MEC upon exposure to both glucocorticoids and prolactin undergo terminal differentiation, which is associated with the expression of several genes, including Xbp1 and Cbp that are required for cell growth and differentiation. Our study also identified differential expression of transcription factors and epigenetic regulators in each stage of lactogenic differentiation. We also analyzed the transcriptome data for the pathways that are selectively activated during lactogenic differentiation. Further, we found that selective expression of chromatin modulators (Dnmt3l, Chd9) in response to glucocorticoids suggests a highly coordinated stage-specific lactogenic differentiation of MEC.

Indexed as

AnimalsCell CycleCell DifferentiationCell LineEmbryonic Stem CellsEpithelial CellsFemaleGene Regulatory NetworksImmunoblottingLactationMammary Glands, AnimalMicePregnancyProlactinReverse Transcriptase Polymerase Chain ReactionRNA, MessengerProlactinRNA, MessengerX-Box Binding Protein 1Xbp1 protein, mouse

Identifiers

PMID30082875
PMCPMC6079013
OpenAlexW2886844984

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.