This study was designed to identify candidate genes associated with iron efficiency in soybeans. Two genotypes, Clark (PI548553) and IsoClark (PI547430), were grown in both iron sufficient (100uM Fe(NO3)3) and iron deficient (50uM Fe(NO3)3) hydroponics conditions. The second trifoliate was harvested for RNA extraction for the microarray experiment. Candidate genes were identified by comparing gene expression profiles within genotypes between the two iron growth conditions.
Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response.
No sample metadata fields
View SamplesThis analysis represents the first comprehensive sampling of germ cells in the developing testis over time, at high-resolution, single-cell depth. From these analyses, we have not only revealed novel genetic regulatory signatures of murine germ cells over time, but have also demonstrated that cell types positive for a single marker gene have the capacity to change dramatically during testis maturation, and therefore cells of a particular “identity” may differ significantly from postnatal to adult life. Overall design: Single-cell suspensions of mammalian testes ranging from PND6 to adult were processed for single-cell RNAseq (10x Genomics Chromium) and libraries were sequenced on a NextSeq500 (Illumina).
Dynamic transcriptome profiles within spermatogonial and spermatocyte populations during postnatal testis maturation revealed by single-cell sequencing.
Age, Disease, Cell line, Subject
View SamplesNeonates are intrinsically defective at creating memory CD8+ T cells in response to infection with intracellular pathogens. Here we investigated differential of small RNAs, transcription factors, and chemokine receptors regulation in neonates as compared to adults before and during infection. We found that prior to infection, na誰ve cells have a different expression profile for many microRNAs, and gene targets of these microRNAs show widespread expression differences. These targets and other changes in gene expression in na誰ve cells result in neonatal cells that get activated more easily, express chemokine receptors that home to sites of infection, and are less protected from apoptosis during contraction. As a result, changes in neonatal na誰ve cells drive effector cell terminal differentiation at the expense of creating long-lived memory cells. Overall design: total RNAs were sequenced from adult and neonatal CD8+ T cells before and during infection
MicroRNAs and Their Targets Are Differentially Regulated in Adult and Neonatal Mouse CD8+ T Cells.
No sample metadata fields
View SamplesNeonates are intrinsically defective at creating memory CD8+ T cells in response to infection with intracellular pathogens. Here we investigated differential of small RNAs, transcription factors, and chemokine receptors regulation in neonates as compared to adults before and during infection. We found that prior to infection, na誰ve cells have a different expression profile for many microRNAs, and gene targets of these microRNAs show widespread expression differences. These targets and other changes in gene expression in na誰ve cells result in neonatal cells that get activated more easily, express chemokine receptors that home to sites of infection, and are less protected from apoptosis during contraction. As a result, changes in neonatal na誰ve cells drive effector cell terminal differentiation at the expense of creating long-lived memory cells. Overall design: PolyA RNA was selected and sequenced from adult and neonatal CD8+ T cells before and during infection
MicroRNAs and Their Targets Are Differentially Regulated in Adult and Neonatal Mouse CD8+ T Cells.
No sample metadata fields
View SamplesWe used NEBNext Ultra Directional RNA Library Prep Kits to prepare RNA-seq libraries of total RNA from hnRNP A2/B1 and A1 depleted A549 cells. Pro-seq libraries were prepared from A549 cells using Illumina adapters Overall design: hnRNP A2/B1 and A1 depleted A549 cells were generated by lentiviral infections of shRNA constructs. RNAs were isolated using Trizol.
A widespread sequence-specific mRNA decay pathway mediated by hnRNPs A1 and A2/B1.
No sample metadata fields
View SamplesNeonates often generate incomplete immunity against intracellular pathogens, although the mechanism of this defect is poorly understood. An important question is whether the impaired development of memory CD8+ T cells in neonates is due to an immature priming environment or lymphocyte-intrinsic defects. Here we show that neonatal and adult CD8+ T cells adopted different fates when responding to equal amounts of stimulation in the same host. While adult CD8+ T cells differentiated into a heterogeneous pool of effector and memory cells, neonatal CD8+ T cells preferentially gave rise to short-lived effector cells and exhibited a distinct gene expression profile. Surprisingly, impaired neonatal memory formation was not due to a lack of responsiveness, but instead because neonatal CD8+ T cells expanded more rapidly than adult cells and quickly became terminally differentiated. Collectively, these findings demonstrate that neonatal CD8+ T cells exhibit an imbalance in effector and memory CD8+ T cell differentiation, which impairs the formation of memory CD8+ T cells in early life Overall design: mRNA profiles of effector CD8+ T cells from neonatal and adult mice
Rapid proliferation and differentiation impairs the development of memory CD8+ T cells in early life.
No sample metadata fields
View SamplesNCI-60 cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips.
A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery.
No sample metadata fields
View Samples40 bladder cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips.
A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery.
No sample metadata fields
View SamplesSingle-cell expression profiling by RNA-Seq promises to exploit cell-to-cell variation in gene expression to reveal regulatory circuitry governing cell differentiation and other biological processes. Here, we describe Monocle, a novel unsupervised algorithm for ordering cells by progress through differentiation that dramatically increases temporal resolution of expression measurements. This reordering unmasks switch-like changes in expression of key regulatory factors, reveals sequentially organized waves of gene regulation, and exposes regulators of cell differentiation. A functional screen confirms that a number of these regulators dramatically alter the efficiency of myoblast differentiation, demonstrating that single-cell expression analysis with Monocle can uncover new regulators even in well-studied systems. Overall design: We selected primary human myoblasts as a model system of cell differentiation to investigate whether ordering cells by progress revealed new regulators of the process. We sequenced RNA-Seq libraries from each of several hundred cells taken over a time-course of serum-induced differentiation. Please note that this dataset is a single-cell RNA-Seq data set, and each cell comes from a capture plate. Thus, each well of the plate was scored and flagged with several QC criteria prior to library construction, which are provided as sample characteristics; CONTROL indicates that this library is a off-chip tube control library constructed from RNA of approximately 250 cells and ''DEBRIS'' indicates that the well contained visible debris (and may or may not include a cell). Libraries marked DEBRIS thus cannot be confirmed to come from a single cell.
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
No sample metadata fields
View SamplesThe PLZF-RARa fusion oncoprotein is overexpressed in the t(11;17) subtype of acute promyelocytic leukemia. Gene expression microarrays were used to identify genes involved in leukemic transformation.
Comprehensive genomic screens identify a role for PLZF-RARalpha as a positive regulator of cell proliferation via direct regulation of c-MYC.
Cell line
View Samples