scholarly journals Quantitative Profiling of Arabidopsis Polar Glycerolipids in Response to Phosphorus Starvation. Roles of Phospholipases Dζ1 and Dζ2 in Phosphatidylcholine Hydrolysis and Digalactosyldiacylglycerol Accumulation in Phosphorus-Starved Plants

2006 ◽  
Vol 142 (2) ◽  
pp. 750-761 ◽  
Author(s):  
Maoyin Li ◽  
Ruth Welti ◽  
Xuemin Wang
Keyword(s):  
Phosphorus Starvation ◽  
Phosphatidylcholine Hydrolysis ◽  
Polar Glycerolipids ◽  
Quantitative Profiling

Identification of Differential Expressed Proteins Responding to Phosphorus Starvation Based on Proteomic Analysis in Roots of Wheat (Triticum aestivum L.)

2013 ◽  
Vol 38 (5) ◽  
pp. 780-790 ◽  
Author(s):  
Wan-Jun FENG ◽  
Zhen-Xing LI ◽  
Bao-Jian GUO ◽  
Hui-Ru PENG ◽  
Ying-Yin YAO ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Proteomic Analysis ◽  
Phosphorus Starvation

Quantitative profiling of pseudouridylation dynamics in native RNAs with nanopore sequencing

2021 ◽  
Author(s):  
Oguzhan Begik ◽  
Morghan C. Lucas ◽  
Leszek P. Pryszcz ◽  
Jose Miguel Ramirez ◽  
Rebeca Medina ◽  
...  
Keyword(s):  
Nanopore Sequencing ◽  
Quantitative Profiling

scholarly journals Quantitative profiling of N6-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yubang Gao ◽  
Xuqing Liu ◽  
Bizhi Wu ◽  
Huihui Wang ◽  
Feihu Xi ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Populus Trichocarpa ◽  
Alternative Polyadenylation ◽  
High Accuracy ◽  
Single Base ◽  
Rna Immunoprecipitation ◽  
Single Base Resolution ◽  
Single Transcript ◽  
Quantitative Profiling ◽  
Identification And Quantification

AbstractThere are no comprehensive methods to identify N6-methyladenosine (m6A) at single-base resolution for every single transcript, which is necessary for the estimation of m6A abundance. We develop a new pipeline called Nanom6A for the identification and quantification of m6A modification at single-base resolution using Nanopore direct RNA sequencing based on an XGBoost model. We validate our method using methylated RNA immunoprecipitation sequencing (MeRIP-Seq) and m6A-sensitive RNA-endoribonuclease–facilitated sequencing (m6A-REF-seq), confirming high accuracy. Using this method, we provide a transcriptome-wide quantification of m6A modification in stem-differentiating xylem and reveal that different alternative polyadenylation (APA) usage shows a different ratio of m6A.

scholarly journals Exosomal Cargo May Hold the Key to Improving Reproductive Outcomes in Dairy Cows

2021 ◽  
Vol 22 (4) ◽  
pp. 2024
Author(s):  
Natalie Turner ◽  
Pevindu Abeysinghe ◽  
Pawel Sadowski ◽  
Murray D. Mitchell
Keyword(s):  
Mass Spectrometry ◽  
Dairy Cows ◽  
Bioactive Peptides ◽  
Cell Types ◽  
Dairy Herds ◽  
Dairy Farmers ◽  
Early Biomarkers ◽  
Health And Disease ◽  
Place Of Origin ◽  
Quantitative Profiling

The reproductive status of dairy cows remains a challenge for dairy farmers worldwide, with impaired fertility linked to a significant reduction in herd profitability, due in part to impaired immunity, increased metabolic pressure, and longer postpartum anestrous interval (PPAI). Exosomes are nanovesicles released from a variety of cell types and end up in circulation, and carry proteins, bioactive peptides, lipids, and nucleic acids specific to the place of origin. As such, their role in health and disease has been investigated in humans and animals. This review discusses research into exosomes in the context of reproduction in dairy herds and introduces recent advances in mass-spectrometry (MS) based proteomics that have a potential to advance quantitative profiling of exosomal protein cargo in a search for early biomarkers of cattle fertility.

Archiving of Food Samples from Restaurants and Caterers—Quantitative Profiling of Outbreaks of Foodborne Salmonellosis in Japan

2004 ◽  
Vol 67 (9) ◽  
pp. 2024-2032 ◽  
Author(s):  
FUMIKO KASUGA ◽  
MASAMITSU HIROTA ◽  
MASAMICHI WADA ◽  
TOSHIHIKO YUNOKAWA ◽  
HAJIME TOYOFUKU ◽  
...  
Keyword(s):  
Dose Response ◽  
Storage System ◽  
Epidemiological Data ◽  
Food Samples ◽  
Food Storage ◽  
Disease Rate ◽  
Data Sets ◽  
Response Data ◽  
Quantitative Profiling

The Ministry of Health, Labor and Welfare (former MHW) of Japan issued a Directive in 1997 advising restaurants and caterers to freeze portions of both raw food and cooked dishes for at least 2 weeks. This system has been useful for determining vehicle foods at outbreaks. Enumeration of bacteria in samples of stored food provide data about pathogen concentrations in the implicated food. Data on Salmonella concentrations in vehicle foods associated with salmonellosis outbreaks were collected in Japan between 1989 and 1998. The 39 outbreaks that occurred during this period were categorized by the settings where the outbreaks took place, and epidemiological data from each outbreak were summarized. Characteristics of outbreak groups were analyzed and compared. The effect of new food-storage system on determination of bacterial concentration was evaluated. Freezing and nonfreezing conditions prior to microbial examination were compared in the dose-response relationship. Data from outbreaks in which implicated foods had been kept frozen suggested apparent correlation between the Salmonella dose ingested and the disease rate. Combined with results of epidemiological investigation, quantitative data from the ingested pathogen could provide complete dose-response data sets.

Phosphorus starvation induces post-transcriptional CHS gene silencing in Petunia corolla

2013 ◽  
Vol 32 (5) ◽  
pp. 601-609 ◽  
Author(s):  
Munetaka Hosokawa ◽  
Takayoshi Yamauchi ◽  
Masayoshi Takahama ◽  
Mariko Goto ◽  
Sachiko Mikano ◽  
...  
Keyword(s):  
Gene Silencing ◽  
Phosphorus Starvation

scholarly journals Quantitative Profiling of DNA Damage and Apoptotic Pathways in UV Damaged Cells Using PTMScan Direct

2012 ◽  
Vol 14 (1) ◽  
pp. 286-307 ◽  
Author(s):  
Matthew Stokes ◽  
Jeffrey Silva ◽  
Xiaoying Jia ◽  
Kimberly Lee ◽  
Roberto Polakiewicz ◽  
...  
Keyword(s):  
Dna Damage ◽  
Apoptotic Pathways ◽  
Quantitative Profiling
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