Division of Pediatric Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA.
Published: October 2013
AI Article Synopsis
Article Abstract
Stem cell differentiation pathways are most often studied at the population level, whereas critical decisions are executed at the level of single cells. We have established a highly multiplexed, quantitative PCR assay to profile in an unbiased manner a panel of all commonly used cell surface markers (280 genes) from individual cells. With this method, we analyzed over 1,500 single cells throughout the mouse hematopoietic system and illustrate its utility for revealing important biological insights. The comprehensive single cell data set permits mapping of the mouse hematopoietic stem cell differentiation hierarchy by computational lineage progression analysis. Further profiling of 180 intracellular regulators enabled construction of a genetic network to assign the earliest differentiation event during hematopoietic lineage specification. Analysis of acute myeloid leukemia elicited by MLL-AF9 uncovered a distinct cellular hierarchy containing two independent self-renewing lineages with different clonal activities. The strategy has broad applicability in other cellular systems.
Dioscorea alata, a key tuber crop for global food security, is threatened by anthracnose disease caused by Colletotrichum gloeosporioides. However, identification of functional resistance genes against C. gloeosporioides in D.
Background: Primary squamous cell carcinoma (SCC) of the middle ear is rare, with non-keratinizing basaloid types being exceptionally uncommon. Distinguishing these cancers, often caused by viral factors (, human papillomavirus or Epstein-Barr virus), or specific genetic alterations (, bromodomain-containing protein 4-nuclear protein in or gene fused with FLI chromosomal rearrangement), from other cranial conditions, is difficult. The recently identified DEK::AFF2 non-keratinizing SCC (NKSCC) is a novel subtype, fitting the World Health Organization classification of head and neck neoplasms.
Recent advances in immunology have challenged the conventional division of T-lymphocyte function by uncovering novel subpopulations with diverse roles and characteristics. This article reviews these discoveries and their implications for understanding immune regulation and disease pathogenesis. Innovative techniques have enabled the identification of previously unrecognized T-lymphocyte subsets, disrupting the classical classification system.
Omics techniques, such as proteomics, contain crucial data for understanding biological processes, but they remain underutilized due to their high dimensionality. Typically, proteomics research focuses narrowly on using a limited number of datasets, hindering cross-study comparisons, a problem that can potentially be addressed by machine learning. Despite this potential, machine learning has seen limited adoption in the field of proteomics.
Universidade Federal de Mato Grosso (UFMT) campus Cuiabá, Avenida Fernando Corrêa da Costa, 2367, Boa Esperança, Cuiabá, 78060-900, Brazil; Programa de Pós-Graduação Stricto Sensu em Biociência Animal, Universidade de Cuiabá (UNIC), Avenida Manoel José de Arruda, 3100, Jardim Europa, Cuiabá, 78065-900, Brazil. Electronic address:
This study aimed to evaluate the impact of cholesterol supplementation at various concentrations in cryopreserved Pantaneiro bovine semen on in vitro embryo production (IVEP). Grade I and II cumulus-oocyte complexes (COCs) were collected from ovaries retrieved from a commercial slaughterhouse and matured in vitro for 24 h. The matured COCs were divided into four groups based on the concentration of cholesterol -loaded cyclodextrin (CLC) during semen cryopreservation from a Pantaneiro breed bull: Control (C) - 0 mg/mL CLC, T1 - 0.
