◼ If to understand the function of organs and other structures of the body, it is essential that we first understand the basic organization of the cell and the function of its component parts. Review the basic structure of Cell Cell membrane protoplasm :water etc. cytoplasma cell Organelle:...
Diffuse large B cell lymphoma (DLBCL) is the most common form of blood cancer and is characterized by a striking degree ofgeneticand clinical heterogeneity. This heterogeneity poses a major barrier to understanding the genetic basis of the disease and its response to therapy. Here, we performed ...
Cell–cell communications of various cell populations within tumor microenvironment play an essential role in primary tumor growth, metastasis evolution, and immune escape. Nevertheless, comprehensive investigation of cell–cell communications in the ccR
Spatial omics data are clustered to define both cell types and tissue domains. We present Building Aggregates with a Neighborhood Kernel and Spatial Yardstick (BANKSY), an algorithm that unifies these two spatial clustering problems by embedding cells in a product space of their own and the local...
Poly(ADP-ribose): novel functions for an old molecule. Nature Rev. Mol. Cell Biol. 7, 517–528 (2006). Article CAS Google Scholar Krishnakumar, R. & Kraus, W. L. The PARP side of the nucleus: molecular actions, physiological outcomes, and clinical targets. Mol. Cell 39, 8–24 (...
The user can use the functions in scDEED to adapt to other dimension reduction methods. The user will need to specify the input parameters, and apply the dimension reduction method to both the original and permuted data. As an example here using t-SNE: ...
Because of the parts-based nature of the factorization, cells can be clustered by simply assigning each cell to the factors on which they have the highest loading. This is a common way of performing clustering using NMF representations (Xu et al, 2003). If we perform such simple assignment,...
Our model function \(m(C;\theta )\) is divided into two parts: (1) estimating the distance between cells and (2) constructing a tree using the distance matrix Full size image Choice of distance One notion for calculating the distance is to define the distance function for the two ...
Mesenchymal stromal/stem cells (MSCs) are one of the most frequently used stem cells in cellular therapy trials based on their immunomodulation, tissue regeneration, and protective functions [1,2,3]. Previously, exogenous-infused MSCs were thought to exert their protective effects by migrating to ...
Deconvoluting cell-state abundances from bulk RNA-sequencing data can add considerable value to existing data, but achieving fine-resolution and high-accuracy deconvolution remains a challenge. Here we introduce MeDuSA, a mixed model-based method that le