Biology subjects

Mani, S.

Publications and source records attributed to Mani, S..

3 recordsLinked to original sources

bioRxiv2019

Interferons drive development of novel interleukin-15-responsive macrophages in the uterus

Disruption in homeostasis of interleukin-15 (IL-15) is linked to poor maternal and fetal outcomes during pregnancy. The only cells described to respond to IL-15 at the early maternal-fetal interface have been natural killer (NK) cells. We now show a novel population of macrophages, evident in several organs but enriched in the uterus of mice and humans, expressing the {beta} chain of the IL-15 receptor complex (CD122) and responding to IL-15. CD122+ macrophages (CD122+Macs) are morphologic, phenotypic, and transcriptomic macrophages that can derive from bone marrow monocytes. CD122+Macs develop in the uterus and placenta with kinetics that mirror interferon (IFN) activity at the maternal-fetal interface. Macrophage colony-stimulating factor (M-CSF) permits macrophages to express CD122, and IFNs are sufficient to drive expression of CD122 on macrophages. Neither Type-I nor Type-II IFNs are required to generate CD122+Macs, however. In response to IL-15, CD122+Macs activate the ERK signaling cascade and enhance production of proinflammatory cytokines after stimulation with the Toll-like receptor 9 agonist CpG. Finally, we provide evidence of human cells that phenocopy murine CD122+Macs in secretory phase endometrium during the implantation window and in first-trimester uterine decidua. Our data support a model wherein IFNs local to the maternal-fetal interface direct novel IL-15-responsive macrophages with the potential to mediate IL-15 signals critical for optimal outcomes of pregnancy. The microarray data presented in this article have been submitted to the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE132353.

immunology↗

bioRxiv2019

Identification of lncRNAs associated with early stage breast cancer and their prognostic implications

Breast cancer is a common malignancy among women with the highest incidence rate worldwide. Dysregulation of long non-coding RNAs occurring in the preliminary stages of breast carcinogenesis is poorly understood. In this study, RNA sequencing was done to identify long non-coding RNA expression profiles associated with early-stage breast cancer. RNA sequencing was done in 6 invasive ductal carcinoma (IDC) tissues along with paired normal tissue samples, 7 ductal carcinoma in situ (DCIS) tissues and 5 apparently normal breast tissues. We identified 375 differentially expressed lncRNAs (DElncRNAs) in IDC tissues compared to paired normal tissues. Antisense transcripts ([~]58%) were the largest subtype among DElncRNAs. About 20% of the 375 DElncRNAs were supported by typical split readings leveraging their detection confidence. Validation was done in n=52 IDC and paired normal tissue by qRT-PCR for the identified targets (ADAMTS9-AS2, EPB41L4A-AS1, WDFY3-AS2, RP11-295M3.4, RP11-161M6.2, RP11-490M8.1, CTB-92J24.3 and FAM83H-AS)1. We evaluated the prognostic significance of DElncRNAs based on TCGA datasets and overexpression of FAM83H-AS1 was associated with patient poor survival. We confirmed that the down-regulation of ADAMTS9-AS2 in breast cancer was due to promoter hypermethylation through in-vitro silencing experiments and pyrosequencing.

cancer biology↗

bioRxiv2018

RNA sequencing identifies dysregulated circular RNAs in early-stage breast cancer

BackgroundBreast cancer is a major cause of cancer related death in women worldwide. Molecular diagnostic markers that are detectable in early-stage breast cancer can aid in effective clinical intervention. Circular RNAs are a recently identified group of non-coding RNA with potential role in cancer development and progression. In this study, we aimed to identify circular RNAs specific for early stage breast cancer.\n\nMethodCircular RNA expression profile was analyzed in early-stage breast cancer tissues (N=5), matched normal counterparts (N=5) and absolute normal samples (N=5) by RNA-sequencing that enables a comprehensive analysis of RNA expression across the transcriptome. Two different algorithms, find_circ and DCC were used to identify the differentially expressed circular RNAs.\n\nResultsA total of 58 and 87 circular RNAs were found to be differentially expressed by find_circ and DCC algorithms, respectively, among which 26 circular RNAs were common. Hsa_circ_0001946 (CDR1-as) was found to be upregulated in early stage breast cancer along with other novel circular RNAs (hsa_circ_0008225, hsa_circ_0007766, hsa_circ_0016601). We also found that a few of the identified circular RNAs harbor microRNA binding sites which can lead to microRNA sponging activity and pre-microRNA sequences which can generate mature microRNAs. The identified circular RNAs that are differentially regulated in early stage breast cancer can be of potential diagnostic/prognostic importance.\n\nConclusionCircular RNA are differentially expressed in the early-stage breast cancer with potential application in early diagnosis and prognosis. The differentially expressed circular RNA can sequester microRNA and can act as microRNA precursor as well.

cancer biology↗