Protumoral role of monocytes in human B-cell precursor acute lymphoblastic leukemia: involvement of the chemokine CXCL10

Lee, Yunqin; Chittezhath, Manesh; Andrè, Valentina; Zhao, Helen; Poidinger, Michael; Biondi, Andrea; D’Amico, Giovanna; Biswas, Subhra K.

doi:10.1182/blood-2011-06-357442

Cited by 72 publications

(70 citation statements)

References 40 publications

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“…The biogeochemical tracer fields (such as nutrients) were, i.a., initialized from climatologies. For instance, initial nutrient (phosphate, nitrate, silicate) distributions were taken from the World Ocean Atlas 2009 (WOA09; Garcia et al, 2010), initial values for dissolved inorganic carbon and alkalinity are from the Global Ocean Data Analysis Project (GLODAP; Key et al, 2004), and zooplankton, phytoplankton pools, and dissolved organic matter have been initialized uniformly at low values (Moore et al, 2004). Additionally, each planktonic foraminiferal species was also initialized uniformly at low values assuming the same (vertical) distribution as the zooplankton component of the BEC model.…”

Section: Model Simulationmentioning

confidence: 99%

Modeling seasonal and vertical habitats of planktonic foraminifera on a global scale

et al. 2018

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Abstract. Species of planktonic foraminifera exhibit specific seasonal production patterns and different preferred vertical habitats. The seasonal and vertical habitats are not constant throughout the range of the species and changes therein must be considered when interpreting paleoceanographic reconstructions based on fossil foraminifera. However, detecting the effect of changing vertical and seasonal habitat on foraminifera proxies requires independent evidence for either habitat or climate change. In practice, this renders accounting for habitat tracking from fossil evidence almost impossible. An alternative method that could reduce the bias in paleoceanographic reconstructions is to predict speciesspecific habitat shifts under climate change using an ecosystem modeling approach. To this end, we present a new version of a planktonic foraminifera model, PLAFOM2.0, embedded into the ocean component of the Community Earth System Model version 1.2.2. This model predicts monthly global concentrations of the planktonic foraminiferal species Neogloboquadrina pachyderma, N. incompta, Globigerina bulloides, Globigerinoides ruber (white), and Trilobatus sacculifer throughout the world ocean, resolved in 24 vertical layers to 250 m of depth. The resolution along the vertical dimension has been implemented by applying the previously used spatial parameterization of carbon biomass as a function of temperature, light, nutrition, and competition on depth-resolved parameter fields. This approach alone results in the emergence of species-specific vertical habitats, which are spatially and temporally variable. Although an explicit parameterization of the vertical dimension has not been carried out, the seasonal and vertical distribution patterns predicted by the model are in good agreement with sediment trap data and plankton tow observations. In the simulation, the colder-water species N. pachyderma, N. incompta, and G. bulloides show a pronounced seasonal cycle in their depth habitat in the polar and subpolar regions, which appears to be controlled by food availability. During the warm season, these species preferably occur in the subsurface (below 50 m of water depth), while towards the cold season they ascend through the water column and are found closer to the sea surface. The warm-water species G. ruber (white) and T. sacculifer exhibit a less variable shallow depth habitat with highest carbon biomass concentrations within the top 40 m of the water column. Nevertheless, even these species show vertical habitat variability and their seasonal occurrence outside the tropics is limited to the warm surface layer that develops at the end of the warm season. The emergence in PLAFOM2.0 of species-specific vertical habitats, which are consistent with observations, indicates that the population dynamics of planktonic foraminifera species may be driven by the same factors in time, space, and with depth, in which case the model can provide a reliable and robust tool to aid the interpretation of proxy records.

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Section: Model Simulationmentioning

confidence: 99%

Modeling seasonal and vertical habitats of planktonic foraminifera on a global scale

et al. 2018

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“…Basin-scale storage is estimated using the gridded World Ocean Atlas annual mean temperature and salinity data product [Locarnini et al, 2013;Zweng et al, 2013]. First, potential density σ θ is calculated for each of the gridded data product locations.…”

Section: As Done Bymentioning

confidence: 99%

Two decades of Pacific anthropogenic carbon storage and ocean acidification along Global Ocean Ship‐based Hydrographic Investigations Program sections P16 and P02

Carter

Feely

Mecking

et al. 2017

Global Biogeochemical Cycles

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A modified version of the extended multiple linear regression (eMLR) method is used to estimate anthropogenic carbon concentration (C anth ) changes along the Pacific P02 and P16 hydrographic sections over the past two decades. P02 is a zonal section crossing the North Pacific at 30°N, and P16 is a meridional section crossing the North and South Pacific at~150°W. The eMLR modifications allow the uncertainties associated with choices of regression parameters to be both resolved and reduced. C anth is found to have increased throughout the water column from the surface to~1000 m depth along both lines in both decades. Mean column C anth inventory increased consistently during the earlier (1990s-2000s) and recent (2000s-2010s) decades along P02, at rates of 0.53 ± 0.11 and 0.46 ± 0.11 mol C m À2 a À1, respectively. By contrast, C anth storage accelerated from 0.29 ± 0.10 to 0.45 ± 0.11 mol C m À2 a À1 along P16. Shifts in water mass distributions are ruled out as a potential cause of this increase, which is instead attributed to recent increases in the ventilation of the South Pacific Subtropical Cell. Decadal changes along P16 are extrapolated across the gyre to estimate a Pacific Basin average storage between 60°S and 60°N of 6.1 ± 1.5 PgC decade À1 in the earlier decade and 8.8 ± 2.2 PgC decade À1 in the recent decade. This storage estimate is large despite the shallow Pacific C anth penetration due to the large volume of the Pacific Ocean. By 2014, C anth storage had changed Pacific surface seawater pH by À0.08 to À0.14 and aragonite saturation state by À0.57 to À0.82.

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“…Nitrate concentrations ([NO 3 ], in μmol/kg) were calculated according to the Argo data management protocol (http://doi.org/10.13155/46121), and data were corrected using the locally interpolated nitrate regression of Carter et al (2018) (as described in Johnson et al, 2017). A comparison was done between deep [NO 3 ] values (average value between 950 and 1,000 m, supposedly stable over years) from floats and from the World Ocean Atlas climatology 2009 (Garcia et al, 2010). For the two BGC-Argo floats, a median difference of less than 1 μmol/k was calculated, which is within the accuracy range expected for this nitrate sensor.…”

Section: Nitrate Concentration and Annual Net Community Production Esmentioning

confidence: 99%

Assessing Phytoplankton Activities in the Seasonal Ice Zone of the Greenland Sea Over an Annual Cycle

et al. 2018

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In seasonal ice zones (SIZs), such as the one of the Greenland Sea, the sea ice growth in winter and subsequent melting in summer influence the phytoplankton activity. However, studies assessing phytoplankton activities over complete annual cycles and at a fine temporal resolution are lacking in this environment. Biogeochemical‐Argo floats, which are able to sample under the ice, were used to collect physical and biogeochemical data along vertical profiles and at 5‐day resolution during two complete annual cycles in the Greenland Sea SIZ. Three phytoplankton activity phases were distinct within an annual cycle: one under ice, a second at the ice edge, and a third one around an open‐water subsurface chlorophyll maximum. As expected, the light and nitrate availabilities controlled the phytoplankton activity and the establishment of these phases. On average, most of the annual net community production occurred equally under ice and at the ice edge. The open‐water subsurface chlorophyll maximum phase contribution, on the other hand, was much smaller. Phytoplankton biomass accumulation and production thus occur over a longer period than might be assumed if under ice blooms were neglected. This also means that satellite‐based estimates of phytoplankton biomass and production in this SIZ are likely underestimated. Simulations with the Arctic‐based physical‐biologically coupled SINMOD model suggest that most of the annual net community production in this SIZ results from local processes rather than due to advection of nitrate from the East Greenland and Jan Mayen Currents.

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Protumoral role of monocytes in human B-cell precursor acute lymphoblastic leukemia: involvement of the chemokine CXCL10

Cited by 72 publications

References 40 publications

Modeling seasonal and vertical habitats of planktonic foraminifera on a global scale

Modeling seasonal and vertical habitats of planktonic foraminifera on a global scale

Two decades of Pacific anthropogenic carbon storage and ocean acidification along Global Ocean Ship‐based Hydrographic Investigations Program sections P16 and P02

Assessing Phytoplankton Activities in the Seasonal Ice Zone of the Greenland Sea Over an Annual Cycle

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