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Herkt, Stefanie ; Lausen, Olga Nikolaevna ; Herglotz, Julia ; Schneider, Lucas ; Meyer, Annekarin ; Pommerenke, Claudia ; Salinas-Riester, Gabriela ; Seifried, Erhard ; Bönig, Halvard-Björn ; Lausen, Jörn
Hematopoietic differentiation is driven by transcription factors, which orchestrate a finely tuned transcriptional network. At bipotential branching points lineage decisions are made, where key transcription factors initiate cell type-specific gene expression programs. These programs are stabilized by the epigenetic activity of recruited chromatin-modifying cofactors. An example is the association of the transcription factor RUNX1 with protein arginine methyltransferase 6 (PRMT6) at the megakaryocytic/erythroid bifurcation. However, little is known about the specific influence of PRMT6 on this important branching point. Here, we show that PRMT6 inhibits erythroid gene expression during megakaryopoiesis of primary human CD34+ progenitor cells. PRMT6 is recruited to erythroid genes, such as glycophorin A. Consequently, a repressive histone modification pattern with high H3R2me2a and low H3K4me3 is established. Importantly, inhibition of PRMT6 by shRNA or small molecule inhibitors leads to upregulation of erythroid genes and promotes erythropoiesis. Our data reveal that PRMT6 plays a role in the control of erythroid/megakaryocytic differentiation and open up the possibility that manipulation of PRMT6 activity could facilitate enhanced erythropoiesis for therapeutic use.
Lausen, Olga Nikolaevna ; Herkt, Stefanie ; Meyer, Annekarin ; Schneider, Lucas ; Yillah, Jasmin ; Kohrs, Nicole ; Bönig, Halvard-Björn ; Seifried, Erhard ; Müller-Tidow, Carsten ; Lausen, Jörn
Hematopoietic differentiation is controlled by key transcription factors, which regulate stem cell functions and differentiation. TAL1 is a central transcription factor for hematopoietic stem cell development in the embryo and for gene regulation during erythroid/megakaryocytic differentiation. Knowledge of the target genes controlled by a given transcription factor is important to understand its contribution to normal development and disease. To uncover direct target genes of TAL1 we used high affinity streptavidin/biotin-based chromatin precipitation (Strep-CP) followed by Strep-CP on ChIP analysis using ChIP promoter arrays. We identified 451 TAL1 target genes in K562 cells. Furthermore, we analysed the regulation of one of these genes, the catalytic subunit beta of protein kinase A (PRKACB), during megakaryopoiesis of K562 and primary human CD34+ stem cell/progenitor cells. We found that TAL1 together with hematopoietic transcription factors RUNX1 and GATA1 binds to the promoter of the isoform 3 of PRKACB (Cβ3). During megakaryocytic differentiation a coactivator complex on the Cβ3 promoter, which includes WDR5 and p300, is replaced with a corepressor complex. In this manner, activating chromatin modifications are removed and expression of the PRKACB-Cβ3 isoform during megakaryocytic differentiation is reduced. Our data uncover a role of the TAL1 complex in controlling differential isoform expression of PRKACB. These results reveal a novel function of TAL1, RUNX1 and GATA1 in the transcriptional control of protein kinase A activity, with implications for cellular signalling control during differentiation and disease.
Recent phylogenomic studies have failed to conclusively resolve certain branches of the placental mammalian tree, despite the evolutionary analysis of genomic data from 32 species. Previous analyses of single genes and retroposon insertion data yielded support for different phylogenetic scenarios for the most basal divergences. The results indicated that some mammalian divergences were best interpreted not as a single bifurcating tree, but as an evolutionary network. In these studies the relationships among some orders of the super-clade Laurasiatheria were poorly supported, albeit not studied in detail. Therefore, 4775 protein-coding genes (6,196,263 nucleotides) were collected and aligned in order to analyze the evolution of this clade. Additionally, over 200,000 introns were screened in silico, resulting in 32 phylogenetically informative long interspersed nuclear elements (LINE) insertion events.
The present study shows that the genome evolution of Laurasiatheria may best be understood as an evolutionary network. Thus, contrary to the common expectation to resolve major evolutionary events as a bifurcating tree, genome analyses unveil complex speciation processes even in deep mammalian divergences. We exemplify this on a subset of 1159 suitable genes that have individual histories, most likely due to incomplete lineage sorting or introgression, processes that can make the genealogy of mammalian genomes complex.
These unexpected results have major implications for the understanding of evolution in general, because the evolution of even some higher level taxa such as mammalian orders may sometimes not be interpreted as a simple bifurcating pattern.
Steiner, Marlene ; Schneider, Lucas ; Yillah, Jasmin ; Gerlach, Katharina ; Lausen, Olga Nikolaevna ; Meyer, Annekarin ; Maring, Alisa ; Bönig, Halvard-Björn ; Seifried, Erhard ; Zörnig, Martin ; Lausen, Jörn
During erythropoiesis, haematopoietic stem cells (HSCs) differentiate in successive steps of commitment and specification to mature erythrocytes. This differentiation process is controlled by transcription factors that establish stage- and cell type-specific gene expression. In this study, we demonstrate that FUSE binding protein 1 (FUBP1), a transcriptional regulator important for HSC self-renewal and survival, is regulated by T-cell acute lymphocytic leukaemia 1 (TAL1) in erythroid progenitor cells. TAL1 directly activates the FUBP1 promoter, leading to increased FUBP1 expression during erythroid differentiation. The binding of TAL1 to the FUBP1 promoter is highly dependent on an intact GATA sequence in a combined E-box/GATA motif. We found that FUBP1 expression is required for efficient erythropoiesis, as FUBP1-deficient progenitor cells were limited in their potential of erythroid differentiation. Thus, the finding of an interconnection between GATA1/TAL1 and FUBP1 reveals a molecular mechanism that is part of the switch from progenitor- to erythrocyte-specific gene expression. In summary, we identified a TAL1/FUBP1 transcriptional relationship, whose physiological function in haematopoiesis is connected to proper erythropoiesis.
Alber, Thomas ; Bartke, Jerzy ; Białkowska, Helena ; Bloomer, Matthew A. ; Bock, Rudolf ; Braithwaite, Wilfred J. ; Brinkmann, Dittmar ; Brockmann, Robert ; Bunčić, Predrag ; Chan, Phaikying ; Chase, S. I. ; Cramer, Pauline B. ; Cramer, John G. ; Derado, Ivan ; Eberlein, Björn ; Eckardt, Volker ; Eschke, Jürgen ; Ferenc, Daniel ; Fleischmann, B. ; Foka, Panagiota ; Freund, Peter ; Fuchs, Michael ; Gładysz-Dziaduś, Ewa ; Harris, John W. ; Hoffmann, Matthias ; Jacobs, Peter Martin ; Kabana, Sonia ; Kadija, Krešo ; Kosiec, Jacek ; Kowalski, Marek ; Lahanas, Michael ; Lee, Jae-Yun ; Ljubicic, Ante Jr. ; Margetis, Spyridon ; Mitchell, Jeffery Thomas ; Morse, Richard J. ; Nappi, Eugenio ; Odyniec, Grazyna Janina ; Paic, Guy ; Panagiotou, Apostolos D. ; Petridis, Athanasios ; Piper, Andreas ; Posa, Francesco ; Poskanzer, Arthur M. ; Pugh, Howel G. ; Rai, Gulshan ; Rauch, Wolfgang Hans ; Renfordt, Rainer Arno Ernst ; Retyk, Waldemar ; Roland, Gunther ; Rothard, Hermann ; Runge, Kay ; Sandoval, Andres ; Schambach, Joachim ; Schmitz, Norbert ; Schmoetten, Emile ; Schneider, Ingo ; Sendelbach, Ralf ; Seyboth, Peter ; Seyerlein, Jürgen ; Skrzypczak, Ewa ; Stefansky, Piotr ; Teitelbaum, Lawrence Paul ; Tonse, Shaheen ; Trainor, Thomas A. ; Vasileiadis, Georgios ; Vassiliou, Maria ; Wenig, Siegfried ; Wensveen, Martinus ; Wosiek, Barbara
We present the measured correlation functions for pi+ pi-, pi- pi- and pi+ pi+ pairs in central S+Ag collisions at 200 GeV per nucleon. The Gamov function, which has been traditionally used to correct the correlation functions of charged pions for the Coulomb interaction, is found to be inconsistent with all measured correlation functions. Certain problems which have been dominating the systematic uncertainty of the correlation analysis are related to this inconsistency. It is demonstrated that a new Coulomb correction method, based exclusively on the measured correlation function for pi+ pi- pairs, may solve the problem.
Zirafi, Onofrio ; Kim, Kyeong-Ae ; Ständker, Ludger ; Mohr, Katharina B. ; Sauter, Daniel ; Heigele, Anke ; Kluge, Silvia F. ; Wiercinska, Eliza ; Chudziak, Doreen ; Richter, Rudolf ; Moepps, Barbara ; Gierschik, Peter ; Vas, Virag ; Geiger, Hartmut ; Lamla, Markus ; Weil, Tanja ; Burster, Timo ; Zgraja, Andreas ; Daubeuf, Francois ; Frossard, Nelly ; Hachet-Haas, Muriel ; Heunisch, Fabian ; Reichetzeder, Christoph ; Galzi, Jean-Luc ; Pérez-Castells, Javier ; Canales-Mayordomo, Angeles ; Jiménez-Barbero, Jesus ; Giménez-Gallego, Guillermo ; Schneider, Marion ; Shorter, James ; Telenti, Amalio ; Hocher, Berthold ; Forssmann, Wolf-Georg ; Bönig, Halvard-Björn ; Kirchhoff, Frank ; Münch, Jan
CXCL12-CXCR4 signaling controls multiple physiological processes and its dysregulation is associated with cancers and inflammatory diseases. To discover as-yet-unknown endogenous ligands of CXCR4, we screened a blood-derived peptide library for inhibitors of CXCR4-tropic HIV-1 strains. This approach identified a 16 amino acid fragment of serum albumin as an effective and highly specific CXCR4 antagonist. The endogenous peptide, termed EPI-X4, is evolutionarily conserved and generated from the highly abundant albumin precursor by pH-regulated proteases. EPI-X4 forms an unusual lasso-like structure and antagonizes CXCL12-induced tumor cell migration, mobilizes stem cells, and suppresses inflammatory responses in mice. Furthermore, the peptide is abundant in the urine of patients with inflammatory kidney diseases and may serve as a biomarker. Our results identify EPI-X4 as a key regulator of CXCR4 signaling and introduce proteolysis of an abundant precursor protein as an alternative concept for chemokine receptor regulation.
Haslinger, Denise ; Waltes, Regina ; Yousaf, Afsheen ; Lindlar, Silvia ; Schneider, Ines ; Lim, Chai K. ; Tsai, Meng-Miao ; Garvalov, Boyan K. ; Acker-Palmer, Amparo ; Krezdorn, Nicolas ; Rotter, Björn ; Acker, Till ; Guillemin, Gilles J. ; Fulda, Simone ; Freitag, Christine M. ; Geburtig-Chiocchetti, Andreas
Background: Altered neuronal development is discussed as the underlying pathogenic mechanism of autism spectrum disorders (ASD). Copy number variations of 16p11.2 have recurrently been identified in individuals with ASD. Of the 29 genes within this region, quinolinate phosphoribosyltransferase (QPRT) showed the strongest regulation during neuronal differentiation of SH-SY5Y neuroblastoma cells. We hypothesized a causal relation between this tryptophan metabolism-related enzyme and neuronal differentiation. We thus analyzed the effect of QPRT on the differentiation of SH-SY5Y and specifically focused on neuronal morphology, metabolites of the tryptophan pathway, and the neurodevelopmental transcriptome.
Methods: The gene dosage-dependent change of QPRT expression following Chr16p11.2 deletion was investigated in a lymphoblastoid cell line (LCL) of a deletion carrier and compared to his non-carrier parents. Expression of QPRT was tested for correlation with neuromorphology in SH-SY5Y cells. QPRT function was inhibited in SH-SY5Y neuroblastoma cells using (i) siRNA knockdown (KD), (ii) chemical mimicking of loss of QPRT, and (iii) complete CRISPR/Cas9-mediated knock out (KO). QPRT-KD cells underwent morphological analysis. Chemically inhibited and QPRT-KO cells were characterized using viability assays. Additionally, QPRT-KO cells underwent metabolite and whole transcriptome analyses. Genes differentially expressed upon KO of QPRT were tested for enrichment in biological processes and co-regulated gene-networks of the human brain.
Results: QPRT expression was reduced in the LCL of the deletion carrier and significantly correlated with the neuritic complexity of SH-SY5Y. The reduction of QPRT altered neuronal morphology of differentiated SH-SY5Y cells. Chemical inhibition as well as complete KO of the gene were lethal upon induction of neuronal differentiation, but not proliferation. The QPRT-associated tryptophan pathway was not affected by KO. At the transcriptome level, genes linked to neurodevelopmental processes and synaptic structures were affected. Differentially regulated genes were enriched for ASD candidates, and co-regulated gene networks were implicated in the development of the dorsolateral prefrontal cortex, the hippocampus, and the amygdala.
Conclusions: In this study, QPRT was causally related to in vitro neuronal differentiation of SH-SY5Y cells and affected the regulation of genes and gene networks previously implicated in ASD. Thus, our data suggest that QPRT may play an important role in the pathogenesis of ASD in Chr16p11.2 deletion carriers.
Leukämien sind maligne Erkrankungen des hämatopoietischen Systems, die teilweise mit einer sehr schlechten Prognose einhergehen. Die Phänotypen sowie die verursachenden Mutationen in den hämatopoietischen Vorläuferzellen sind vielfältig. 5-10 % aller Akuten Leukämien korrelieren mit genetischen Veränderungen des MLLGens auf Chromosom 11q23. Besonders häufig findet man reziproke, chromosomale Translokationen. Leukämien mit diesen Mutationen zählen fast ausschließlich zu den Hochrisiko-Leukämien, wobei der Partner des MLL-Gens Einfluss auf den Verlauf der Erkrankung hat. Bisher sind 43 Translokationspartner des MLL-Gens bekannt, von denen jedoch in der Routinediagnostik nur die 6 häufigsten, MLLT2, MLLT1, MLLT3, MLLT4, ELL und MLLT10 untersucht werden. Seltene oder unbekannte Partnergene werden von den Analysen ausgenommen. Da das Partnergen aber wichtig für die Risikoeinstufung der Erkrankung ist, ist es notwendig, dieses rasch zu identifizieren, um ein optimales Therapieprotokoll anwenden zu können. Aus diesem Grund wurde eine universelle, PCR-Methode entwickelt und etabliert, die es erlaubt, jede MLL-Translokation, auch ohne vorherige Kenntnis des Partnergens, zu identifizieren. Mit Hilfe dieser Methode ist es möglich, sowohl das Partnergen, als auch den chromosomalen Bruchpunkt basengenau auf DNA-Ebene zu analysieren. Mit dieser Technik sind im Verlauf der Studie 501 Patienten untersucht worden (319 Kinder, 179 Erwachsene, 3 ohne Altersangabe). Bei diesen Analysen wurden 9 neue Partnergene entdeckt: ACACA, SELB, SMAP1, TIRAP, ARHGEF17, BCL9L, KIAA0284, MAML2 und APBB1IP. Für alle positiven Patientenproben sind außer den Partnergenen auch die basengenauen Bruchpunkte kartiert worden. Die Kenntnis des Patienten-spezifischen Bruchpunktes erlaubt eine exakte Quantifizierung der Blastenlast mittels qPCR und ermöglicht somit ein empfindliches Monitoring des Krankheitsverlaufs unter Therapie und die Detektion einer minimalen Resterkrankung (MRD).
Non-standard errors
(2021)
Menkveld, Albert J. ; Dreber, Anna ; Holzmeister, Felix ; Huber, Jürgen ; Johannesson, Magnus ; Kirchler, Michael ; Razen, Michael ; Weitzel, Utz ; Abad Díaz, David ; Abudy, Menachem ; Adrian, Tobias ; Ait-Sahalia, Yacine ; Akmansoy, Olivier ; Alcock, Jamie ; Alexeev, Vitali ; Aloosh, Arash ; Amato, Livia ; Amaya, Diego ; Angel, James ; Bach, Amadeus ; Baidoo, Edwin ; Bakalli, Gaetan ; Barbon, Andrea ; Bashchenko, Oksana ; Bindra, Parampreet Christopher ; Bjonnes, Geir Hoidal ; Black, Jeff ; Black, Bernard S. ; Bohorquez, Santiago ; Bondarenko, Oleg ; Bos, Charles S. ; Bosch-Rosa, Ciril ; Bouri, Elie ; Brownlees, Christian ; Calamia, Anna ; Cao, Viet Nga ; Capelle-Blancard, Gunther ; Capera, Laura ; Caporin, Massimiliano ; Carrion, Allen ; Caskurlu, Tolga ; Chakrabarty, Bidisha ; Chernov, Mikhail ; Cheung, William M. ; Chincarini, Ludwig Boris ; Chordia, Tarun ; Chow, Sheung Chi ; Clapham, Benjamin ; Colliard, Jean-Edouard ; Comerton-Forde, Carole ; Curran, Edward ; Dao, Thong ; Dare, Wale ; Davies, Ryan J. ; De Blasis, Riccardo ; De Nard, Gianluca ; Declerck, Fany ; Deev, Oleg ; Degryse, Hans ; Deku, Solomon ; Desagre, Christophe ; Dijk, Mathijs van ; Dim, Chukwuma ; Dimpfl, Thomas ; Dong, Yun Jiang ; Drummond, Philip ; Dudda, Tom ; Dumitrescu, Ariadna ; Dyakov, Teodor ; Haubo Dyhrberg, Anne ; Dzieliński, Michał ; Eksi, Asli ; El Kalak, Izidin ; Ellen, Saskia ter ; Eugster, Nicolas ; Evans, Martin D. D. ; Farrell, Michael ; Félez-Viñas, Ester ; Ferrara, Gerardo ; Ferrouhi, El Mehdi ; Flori, Andrea ; Fluharty-Jaidee, Jonathan ; Foley, Sean ; Fong, Kingsley Y. L. ; Foucault, Thierry ; Franus, Tatiana ; Franzoni, Francesco ; Frijns, Bart ; Frömmel, Michael ; Fu, Servanna ; Füllbrunn, Sascha ; Gan, Baoqing ; Gehrig, Thomas ; Gerritsen, Dirk ; Gil-Bazo, Javier ; Glosten, Lawrence R. ; Gomez, Thomas ; Gorbenko, Arseny ; Güçbilmez, Ufuk ; Grammig, Joachim ; Gregoire, Vincent ; Hagströmer, Björn ; Hambuckers, Julien ; Hapnes, Erik ; Harris, Jeffrey H. ; Harris, Lawrence ; Hartmann, Simon ; Hasse, Jean-Baptiste ; Hautsch, Nikolaus ; He, Xuezhong ; Heath, Davidson ; Hediger, Simon ; Hendershott, Terrence ; Hibbert, Ann Marie ; Hjalmarsson, Erik ; Hoelscher, Seth A. ; Hoffmann, Peter ; Holden, Craig W. ; Horenstein, Alex R. ; Huang, Wenqian ; Huang, Da ; Hurlin, Christophe ; Ivashchenko, Alexey ; Iyer, Subramanian Rama ; Jahanshahloo, Hossein ; Jalkh, Naji ; Jones, Charles M. ; Jurkatis, Simon ; Jylha, Petri ; Kaeck, Andreas ; Kaiser, Gabriel ; Karam, Arzé ; Karmaziene, Egle ; Kassner, Bernhard ; Kaustia, Markku ; Kazak, Ekaterina ; Kearney, Fearghal ; Kervel, Vincent van ; Khan, Saad ; Khomyn, Marta ; Klein, Tony ; Klein, Olga ; Klos, Alexander ; Koetter, Michael ; Krahnen, Jan Pieter ; Kolokolov, Aleksey ; Korajczyk, Robert A. ; Kozhan, Roman ; Kwan, Amy ; Lajaunie, Quentin ; Lam, FY Eric C ; Lambert, Marie ; Langlois, Hugues ; Lausen, Jens ; Lauter, Tobias ; Leippold, Markus ; Levin, Vladimir ; Li, Yijie ; Li, Hui ; Liew, Chee Yoong ; Lindner, Thomas ; Linton, Oliver B. ; Liu, Jiacheng ; Liu, Anqi ; Llorente, Guillermo ; Lof, Matthijs ; Lohr, Ariel ; Longstaff, Francis A. ; Lopez-Lira, Alejandro ; Mankad, Shawn ; Mano, Nicola ; Marchal, Alexis ; Martineau, Charles ; Mazzola, Francesco ; Meloso, Debrah ; Mihet, Roxana ; Mohan, Vijay ; Moinas, Sophie ; Moore, David ; Mu, Liangyi ; Muravyev, Dmitriy ; Murphy, Dermot ; Neszveda, Gabor ; Neumeier, Christian ; Nielsson, Ulf ; Nimalendran, Mahendrarajah ; Nolte, Sven ; Norden, Lars L. ; O'Neill, Peter ; Obaid, Khaled ; Ødegaard, Bernt Arne ; Östberg, Per ; Painter, Marcus ; Palan, Stefan ; Palit, Imon ; Park, Andreas ; Pascual, Roberto ; Pasquariello, Paolo ; Pastor, Lubos ; Patel, Vinay ; Patton, Andrew J. ; Pearson, Neil D. ; Pelizzon, Loriana ; Rzeźnik, Aleksandra ; Sanford, Anthony ; Sankaran, Harikumar ; Sarkar, Asani ; Sarno, Lucio ; Scaillet, O. ; Scharnowski, Stefan ; Schenk-Hoppé, Klaus Reiner ; Schertler, Andrea ; Schneider, Michael ; Schroeder, Florian ; Schürhoff, Norman ; Schuster, Philipp ; Schwarz, Marco A. ; Seasholes, Mark S. ; Seeger, Norman ; Shachar, Or ; Shkilko, Andriy ; Shui, Jessica ; Sikic, Mario ; Simion, Giorgia ; Smales, Lee A. ; Söderlind, Paul ; Sojli, Elvira ; Sokolov, Konstantin ; Spokeviciute, Laima ; Stefanova, Denitsa ; Subrahmanyam, Marti G. ; Neusüss, Sebastian ; Szaszi, Barnabas ; Talavera, Oleksandr ; Tang, Yuehua ; Taylor, Nicholas ; Tham, Wing Wah ; Theissen, Erik ; Thimme, Julian ; Tonks, Ian ; Tran, Hai ; Trapin, Luca ; Trolle, Anders B. ; Valente, Giorgio ; Van Ness, Robert A. ; Vasquez, Aurelio ; Verousis, Thanos ; Verwijmeren, Patrick ; Vilhelmsson, Anders ; Vilkov, Grigory ; Vladimirov, Vladimir ; Vogel, Sebastian ; Voigt, Stefan ; Wagner, Wolf ; Walther, Thomas ; Weiss, Patrick ; Wel, Michel van der ; Werner, Ingrid M. ; Westerholm, Joakim ; Westheide, Christian ; Wipplinger, Evert ; Wolf, Michael ; Wolff, Christiaan Cornelis Petrus ; Wolk, Leonard ; Wong, Wing Keung ; Wrampelmeyer, Jan ; Xia, Shuo ; Xiu, Dacheng ; Xu, Ke ; Xu, Caihong ; Yadav, Pradeep ; Yagüe, José ; Yan, Cheng ; Yang, Antti ; Yoo, Woongsun ; Yu, Wenjia ; Yu, Shihao ; Yueshen, Bart Zhou ; Yuferova, Darya ; Zamojski, Marcin ; Zareei, Abalfazl ; Zeisberger, Stefan ; Zhang, Sarah ; Zhang, Xiaoyu ; Zhong, Zhuo ; Zhou, Z. Ivy ; Zhou, Chen ; Zhu, Xingyu Sonya ; Zoican, Marius ; Zwinkels, Remco C. J. ; Chen, Jian ; Duevski, Teodor ; Gao, Ge ; Gemayel, Roland ; Gilder, Dudley ; Kuhle, Paul ; Pagnotta, Emiliano ; Pelli, Michele ; Sönksen, Jantje ; Zhang, Lu ; Ilczuk, Konrad ; Bogoev, Dimitar ; Qian, Ya ; Wika, Hans C. ; Yu, Yihe ; Zhao, Lu ; Mi, Michael ; Bao, Li ; Vaduva, Andreea ; Prokopczuk, Marcel ; Avetikian, Alejandro ; Wu, Zhen-Xing
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
Worringen, Annette ; Kandler, Konrad ; Benker, Nathalie ; Dirsch, Thomas ; Weinbruch, Stephan ; Mertes, Stephan ; Schenk, Ludwig ; Kästner, Udo ; Frank, Fabian ; Nillius, Björn ; Bundke, Ulrich ; Rose, Diana ; Curtius, Joachim ; Kupiszewski, Piotr ; Weingartner, Ernest ; Schneider, Johannes ; Schmidt, Susan ; Ebert, Martin
In the present work, three different techniques are used to separate ice-nucleating particles (INP) and ice particle residuals (IPR) from non-ice-active particles: the Ice Selective Inlet (ISI) and the Ice Counterflow Virtual Impactor (Ice-CVI), which sample ice particles from mixed phase clouds and allow for the analysis of the residuals, as well as the combination of the Fast Ice Nucleus Chamber (FINCH) and the Ice Nuclei Pumped Virtual Impactor (IN-PCVI), which provides ice-activating conditions to aerosol particles and extracts the activated ones for analysis. The collected particles were analyzed by scanning electron microscopy and energy-dispersive X-ray microanalysis to determine their size, chemical composition and mixing state. Samples were taken during January/February 2013 at the High Alpine Research Station Jungfraujoch. All INP/IPR-separating techniques had considerable abundances (median 20–70%) of contamination artifacts (ISI: Si-O spheres, probably calibration aerosol; Ice-CVI: Al-O particles; FINCH + IN-PCVI: steel particles). Also, potential measurement artifacts (soluble material) occurred (median abundance < 20%). After removal of the contamination particles, silicates and Ca-rich particles, carbonaceous material and metal oxides were the major INP/IPR particle types separated by all three techniques. Minor types include soot and Pb-bearing particles. Sea-salt and sulfates were identified by all three methods as INP/IPR. Lead was identified in less than 10% of the INP/IPR. It was mainly present as an internal mixture with other particle types, but also external lead-rich particles were found. Most samples showed a maximum of the INP/IPR size distribution at 400 nm geometric diameter. In a few cases, a second super-micron maximum was identified. Soot/carbonaceous material and metal oxides were present mainly in the submicron range. ISI and FINCH yielded silicates and Ca-rich particles mainly with diameters above 1 μm, while the Ice-CVI also sampled many submicron particles. Probably owing to the different meteorological conditions, the INP/IPR composition was highly variable on a sample to sample basis. Thus, some part of the discrepancies between the different techniques may result from the (unavoidable) non-parallel sampling. The observed differences of the particles group abundances as well as the mixing state of INP/IPR point to the need of further studies to better understand the influence of the separating techniques on the INP/IPR chemical composition.