Light Microscopic Analysis of Mitochondrial Heterogeneity in Cell Populations and Within Single Cells

Author(s):  
Stefan Jakobs ◽  
Stefan Stoldt ◽  
Daniel Neumann
1996 ◽  
Vol 5 (2) ◽  
pp. 61-68 ◽  
Author(s):  
R.J. van Suylen ◽  
E.E.C. van Bekkum ◽  
H. Boersma ◽  
L.B. de Kok ◽  
A.H.M.M. Balk ◽  
...  

1989 ◽  
Vol 9 (11) ◽  
pp. 241-244 ◽  
Author(s):  
W. Briegleb ◽  
J. Neubert ◽  
A. Schatz ◽  
B. Kruse

2020 ◽  
Vol 117 (46) ◽  
pp. 28784-28794
Author(s):  
Sisi Chen ◽  
Paul Rivaud ◽  
Jong H. Park ◽  
Tiffany Tsou ◽  
Emeric Charles ◽  
...  

Single-cell measurement techniques can now probe gene expression in heterogeneous cell populations from the human body across a range of environmental and physiological conditions. However, new mathematical and computational methods are required to represent and analyze gene-expression changes that occur in complex mixtures of single cells as they respond to signals, drugs, or disease states. Here, we introduce a mathematical modeling platform, PopAlign, that automatically identifies subpopulations of cells within a heterogeneous mixture and tracks gene-expression and cell-abundance changes across subpopulations by constructing and comparing probabilistic models. Probabilistic models provide a low-error, compressed representation of single-cell data that enables efficient large-scale computations. We apply PopAlign to analyze the impact of 40 different immunomodulatory compounds on a heterogeneous population of donor-derived human immune cells as well as patient-specific disease signatures in multiple myeloma. PopAlign scales to comparisons involving tens to hundreds of samples, enabling large-scale studies of natural and engineered cell populations as they respond to drugs, signals, or physiological change.


1978 ◽  
Vol 1 (4) ◽  
pp. 281-289 ◽  
Author(s):  
Marina Camatini ◽  
M. Faleri ◽  
Emilia Franchi

1993 ◽  
Vol 109 (3) ◽  
pp. 522-529 ◽  
Author(s):  
Tomas Norlander ◽  
M. Fukami ◽  
K. M. Westrin ◽  
P. Stierna ◽  
B. Carlsöö

Unilateral maxillary sinusitis was experimentally induced in New Zealand White rabbits with Streptococcus pneumoniae serotype 3, Bacteroides fragilis NCTC 9343, and Staphylococcus aureus V8. In another group of rabbits, sinusitis was induced by blocking of the sinus ostium only. Bacteriologic and light microscopic analysis was performed after 5 days to 1 month. Granulation-like polyps developed after deep mucosal inflammatory trauma initiating fibroblast proliferation, angiogenesis, and epithetlial migration to cover the polyp. In regions of a more superficial trauma—characterized by epithetlial desquamation and fibroblast growth—proliferation and differentiation of basal cells resulted in the formation of microcavities dissecting off edematous polyps. Polyps could be found in all sinusitis groups, irrespective of inducing agent. The cellular events of polyp formation appear to be the result of a continuous inflammatory reaction and are not directly related to the presence of a certain microorganism. Instead, the potential of any microorganism to induce a deep mucosal trauma or epithelial desquamation seems essential for its ability to initiate polyp formation. (OTOLARYNGOL HEAD NECK SURG 1993;109:522-9.)


Blood ◽  
1971 ◽  
Vol 37 (3) ◽  
pp. 340-348 ◽  
Author(s):  
H. J. HEINIGER ◽  
L. E. FEINENDEGEN ◽  
K. BüRKI

Abstract Thymidine reutilization was studied in single cells of the rat bone marrow. Using 3H-TdR in parallel with 125I-UdR in conjunction with the autoradiographic technique, cells of the erythrocytic series, the megakaryocytic group, and the lymphoid cells were analyzed. Reutilization of thymidine was observed only in those cells known to synthesize DNA. An estimate of the amounts of the thymidine reutilized by the salvage pathway indicated that approximately 40-60 per cent of the thymidine in the blast cells is supplied from DNA of dead cells. This value is similar to that reported previously for whole bone marrow cell populations, suggesting the presence of a common thymidine pool within the bone marrow.


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