pure cell
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2021 ◽  
pp. 55-56
Author(s):  
G Srivani ◽  
D Roja Aishwarya ◽  
P. V. S. Kiran

Pure cell aplasia is a rare bone marrow failure that affects erythroid lineage characterized by normocytic normochromic anemia with reticulocytopenia in the peripheral blood and absent or infrequent erythroblasts in the bone marrow. It can be congenital or acquired. Acquired can be primary when no cause is identied or secondary-due to underlying or associated pathology. Herein we report a case of a 28 year old female with Primary Acquired Pure Red cell aplasia. The patient presented with severe anemia (Hb-1.9gm%) and low reticulocyte count 0.1%. Bone marrow aspiration shows normocellular marrow with Decreased erythropoiesis with M:E ratio of 20:1..Patient was started on oral prednisolone and improvement was seen and the patient became transfusion independent.


2021 ◽  
Vol 90 ◽  
Author(s):  
Bartosz Pluciński ◽  
Andrzej Waloszek ◽  
Joanna Rutkowska ◽  
Kazimierz Strzałka

Abstract Despite being an essential micronutrient, copper is also a potentially toxic heavy metal. Using selection experiments, we produced Chlamydomonas reinhardtii populations with increased tolerance of copper ions and then derived pure cell lines from these populations. Strains derived from the same population (both adapted and nonadapted) significantly differed in terms of growth parameters. Cultivation of the strains in a range of copper ion concentrations revealed differences in growth and photosynthetic performance, which could be attributed to microevolutionary processes occurring with each cell division. Our results demonstrate the effects of environmental factors on rapidly multiplying microorganisms.


Author(s):  
Anibal Arce ◽  
Fernando Guzman Chavez ◽  
Chiara Gandini ◽  
Juan Puig ◽  
Tamara Matute ◽  
...  

Cell-free gene expression systems have emerged as a promising platform for field-deployed biosensing and diagnostics. When combined with programmable toehold switch-based RNA sensors, these systems can be used to detect arbitrary RNAs and freeze-dried for room temperature transport to the point-of-need. These sensors, however, have been mainly implemented using reconstituted PURE cell-free protein expression systems that are difficult to source in the Global South due to their high commercial cost and cold-chain shipping requirements. Based on preliminary demonstrations of toehold sensors working on lysates, we describe the fast prototyping of RNA toehold switch-based sensors that can be produced locally and reduce the cost of sensors by two orders of magnitude. We demonstrate that these in-house cell lysates provide sensor performance comparable to commercial PURE cell-free systems. We further optimize these lysates with a CRISPRi strategy to enhance the stability of linear DNAs by knocking-down genes responsible for linear DNA degradation. This enables the direct use of PCR products for fast screening of new designs. As a proof-of-concept, we develop novel toehold sensors for the plant pathogen Potato Virus Y (PVY), which dramatically reduces the yield of this important staple crop. The local implementation of low-cost cell-free toehold sensors could enable biosensing capacity at the regional level and lead to more decentralized models for global surveillance of infectious disease.


Author(s):  
David Kuntin ◽  
Paul Genever

Mesenchymal stem cells are as fascinating as they are enigmatic. They appear capable of performing a wide array of functions that cross skeletal biology, immunology and haematology. As therapeutics, mesenchymal stem cells or even just their secreted products may be used to regenerate tissue lost through injury or disease and suppress damaging immune reactions. However, these cells lack unique markers and are hard to identify and isolate as pure cell populations. They are often grown in laboratories using basic and undefined culture conditions. We cannot even agree on their name. While mesenchymal stem cells may lack the developmental understanding and defined differentiation hierarchies of their more illustrious stem cell cousins, they offer a compelling scientific challenge. In depth understanding of mesenchymal stem cell biology will enable us to exploit fully one of the most clinically valuable cell sources.


Author(s):  
Laura Grasemann ◽  
Barbora Lavickova ◽  
M. Carolina Elizondo-Cantú ◽  
Sebastian J. Maerkl

2021 ◽  
Author(s):  
Anibal Arce ◽  
Fernando Guzman ◽  
Chiara Gandini ◽  
Juan Puig ◽  
Tamara Matute ◽  
...  

Cell-free gene expression systems have emerged as a promising platform for field-deployed biosensing and diagnostics. When combined with programmable toehold switch-based RNA sensors, these systems can be used to detect arbitrary RNAs and freeze-dried for room temperature transport to the point-of-need. These sensors, however, have been implemented using reconstituted PURE cell-free protein expression systems that are difficult to source in the Global South due to their high commercial cost and cold-chain shipping requirements. Here, we describe the implementation of RNA toehold switch-based sensors using E. coli cell lysate-based cell-free protein expression systems, which can be produced locally and reduce the cost of sensors by two orders of magnitude. We then demonstrate that these in-house cell lysates provide sensor performance comparable to commercial PURE cell-free systems. We further optimize use of these lysates with a CRISPRi strategy to enhance the stability of linear DNAs, enabling the direct use of PCR products for fast screening of new designs. As a proof-of-concept, we develop novel toeholds sensors for the plant pathogen Potato Virus Y (PVY), which dramatically reduces the yield of this important staple crop. The local implementation of low-cost cell-free toehold sensors could enable biosensing capacity at the regional level and lead to more decentralized models for global surveillance of infectious disease.


2021 ◽  
Vol 22 (5) ◽  
pp. 2230
Author(s):  
Anne-Kathrin Knuth ◽  
Arnaud Huard ◽  
Zumer Naeem ◽  
Peter Rappl ◽  
Rebekka Bauer ◽  
...  

The interaction of macrophages with apoptotic cells is required for efficient resolution of inflammation. While apoptotic cell removal prevents inflammation due to secondary necrosis, it also alters the macrophage phenotype to hinder further inflammatory reactions. The interaction between apoptotic cells and macrophages is often studied by chemical or biological induction of apoptosis, which may introduce artifacts by affecting the macrophages as well and/or triggering unrelated signaling pathways. Here, we set up a pure cell death system in which NIH 3T3 cells expressing dimerizable Caspase-8 were co-cultured with peritoneal macrophages in a transwell system. Phenotype changes in macrophages induced by apoptotic cells were evaluated by RNA sequencing, which revealed an unexpectedly dominant impact on macrophage proliferation. This was confirmed in functional assays with primary peritoneal macrophages and IC-21 macrophages. Moreover, inhibition of apoptosis during Zymosan-induced peritonitis in mice decreased mRNA levels of cell cycle mediators in peritoneal macrophages. Proliferation of macrophages in response to apoptotic cells may be important to increase macrophage numbers in order to allow efficient clearance and resolution of inflammation.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Wardah Mahmood ◽  
Lars Erichsen ◽  
Pauline Ott ◽  
Wolfgang A. Schulz ◽  
Johannes C. Fischer ◽  
...  

AbstractLINE-1 hypomethylation of cell-free DNA has been described as an epigenetic biomarker of human aging. However, in the past, insufficient differentiation between cellular and cell-free DNA may have confounded analyses of genome-wide methylation levels in aging cells. Here we present a new methodological strategy to properly and unambiguously extract DNA methylation patterns of repetitive, as well as single genetic loci from pure cell-free DNA from peripheral blood. Since this nucleic acid fraction originates mainly in apoptotic, senescent and cancerous cells, this approach allows efficient analysis of aged and cancerous cell-specific DNA methylation patterns for diagnostic and prognostic purposes. Using this methodology, we observe a significant age-associated erosion of LINE-1 methylation in cfDNA suggesting that the threshold of hypomethylation sufficient for relevant LINE-1 activation and consequential harmful retrotransposition might be reached at higher age. We speculate that this process might contribute to making aging the main risk factor for many cancers.


2020 ◽  
Author(s):  
Patrick S. Stumpf ◽  
Fumio Arai ◽  
Ben D. MacArthur

ABSTRACTModern single cell experiments have revealed unexpected heterogeneity in apparently functionally ‘pure’ cell populations. However, we are still lacking a conceptual framework to understand this heterogeneity. Here, we propose that cellular memories – the ability of individual cells to record their developmental past and adapt their response to their environment accordingly – are an essential ingredient in any such theory. We illustrate this idea by considering a simple age-structured model of stem cell proliferation. Using this model we argue that heterogeneity is central to stem cell population function, and memories naturally explain why stem cell numbers increase through life, yet regenerative potency simultaneously declines.


2019 ◽  
Author(s):  
Baolin Liu ◽  
Chenwei Li ◽  
Ziyi Li ◽  
Xianwen Ren ◽  
Zemin Zhang

AbstractSingle-cell RNA sequencing (scRNA-seq) is a versatile tool for discovering and annotating cell types and states, but the determination and annotation of cell subtypes is often subjective and arbitrary. Often, it is not even clear whether a given cluster is uniform. Here we present an entropy-based statistic, ROGUE, to accurately quantify the purity of identified cell clusters. We demonstrated that our ROGUE metric is generalizable across datasets, and enables accurate, sensitive and robust assessment of cluster purity on a wide range of simulated and real datasets. Applying this metric to fibroblast and B cell datasets, we identified additional subtypes and demonstrated the application of ROGUE-guided analyses to detect true signals in specific subpopulations. ROGUE can be applied to all tested scRNA-seq datasets, and has important implications for evaluating the quality of putative clusters, discovering pure cell subtypes and constructing comprehensive, detailed and standardized single cell atlas.


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