Cycle Synchronization Research Articles

Aberrant APOBEC3B Expression in Breast Cancer Is Linked to Proliferation and Cell Cycle Phase.

APOBEC3B (A3B) is aberrantly overexpressed in a subset of breast cancers, where it associates with advanced disease, poor prognosis, and treatment resistance, yet the causes of A3B dysregulation in breast cancer remain unclear. Here, A3B mRNA and protein expression levels were quantified in different cell lines and breast tumors and related to cell cycle markers using RT-qPCR and multiplex immunofluorescence imaging. The inducibility of A3B expression during the cell cycle was additionally addressed after cell cycle synchronization with multiple methods. First, we found that A3B protein levels within cell lines and tumors are heterogeneous and associate strongly with the proliferation marker Cyclin B1 characteristic of the G2/M phase of the cell cycle. Second, in multiple breast cancer cell lines with high A3B, expression levels were observed to oscillate throughout the cell cycle and again associate with Cyclin B1. Third, induction of A3B expression is potently repressed throughout G0/early G1, likely by RB/E2F pathway effector proteins. Fourth, in cells with low A3B, induction of A3B through the PKC/ncNF-κB pathway occurs predominantly in actively proliferating cells and is largely absent in cells arrested in G0. Altogether, these results support a model in which dysregulated A3B overexpression in breast cancer is the cumulative result of proliferation-associated relief from repression with concomitant pathway activation during the G2/M phase of the cell cycle.

Calcineurin associates with centrosomes and regulates cilia length maintenance.

Calcineurin, or protein phosphatase 2B (PP2B), the Ca2+ and calmodulin-activated phosphatase and target of immunosuppressants, has many substrates and functions that remain uncharacterized. By combining rapid proximity-dependent labeling with cell cycle synchronization, we mapped the spatial distribution of calcineurin in different cell cycle stages. While calcineurin-proximal proteins did not vary significantly between interphase and mitosis, calcineurin consistently associated with multiple centrosomal and/or ciliary proteins. These include POC5, which binds centrins in a Ca2+-dependent manner and is a component of the luminal scaffold that stabilizes centrioles. We show that POC5 contains a calcineurin substrate motif (PxIxIT type) that mediates calcineurin binding in vivo and in vitro. Using indirect immunofluorescence and ultrastructure expansion microscopy, we demonstrate that calcineurin colocalizes with POC5 at the centriole, and further show that calcineurin inhibitors alter POC5 distribution within the centriole lumen. Our discovery that calcineurin directly associates with centriolar proteins highlights a role for Ca2+ and calcineurin signaling at these organelles. Calcineurin inhibition promotes elongation of primary cilia without affecting ciliogenesis. Thus, Ca2+ signaling within cilia includes previously unknown functions for calcineurin in maintenance of cilia length, a process that is frequently disrupted in ciliopathies.

Housing prices in Spain: convergence or decoupling?

In this article, we measure changes in the synchronization of housing price cycles across Spanish cities over time. We rely on a regime-switching framework that identifies the housing price cycles of pairs of cities and simultaneously infers the evolving relation between those cycles. These bilateral relationships are then summarized into an aggregate index of city-level housing cycle synchronization. The estimates suggest that Spanish housing prices have followed a convergence pattern that reached a peak in 2009 and decreased slightly afterward. We also identify the cities that have been the main contributors to this convergence process. Moreover, we show that differences in population growth and economic structure are key factors in explaining the evolution of housing price synchronization among Spanish cities.

Synchronization in Cycles of China and India During Recent Crises: A Markov Switching Analysis.

We study the impact of recent crisis episodes viz. the Great Recession of 2007-09, the Euro Area crisis of 2010-12 and the COVID-19 pandemic of 2020-21 on the Emerging Market Economies (EMEs) of China and India using data from January, 1986 till June, 2021. A Markov-switching (MS) analysis is applied to discern economy-specific cycles/regimes and common cycles/regimes in the growth rates of the economies. We apply the univariate MS Autoregressive (MS-AR) model to characterize country-specific negative growth, moderate growth and high growth regimes of China and India. We examine the extent of overlap of the identified regimes with the Great Recession, the Eurozone crisis, and the COVID-19 pandemic. Thereafter, we study the regimes depicting common phases in growth rates of China-India and China-India-US by using multivariate MS Vector Autoregressive (MS-VAR) models. The multivariate analysis shows the presence of common negative growth during the turbulent periods during the study period. These results can be explained by the existence of strong trade and financial linkages between the two EMEs and the Advanced economies. The pandemic triggered a recession in the Chinese, Indian and U.S. economies and its impact on growth is much worse than the Great Recession and the Eurozone crises.

Transfer-Learning-Based State-of-Health Estimation for Lithium-Ion Battery With Cycle Synchronization

Accurately estimating a battery's state of health (SOH) helps prevent battery-powered applications from failing unexpectedly. With the superiority of reducing the data requirement of model training for new batteries, transfer learning (TL) emerges as a promising machine learning approach that applies knowledge learned from a source battery, which has a large amount of data. However, the determination of whether the source battery model is reasonable and which part of information can be transferred for SOH estimation are rarely discussed, despite these being critical components of a successful TL. To address these challenges, this article proposes an interpretable TL-based SOH estimation method by exploiting the temporal dynamic to assist TL, which consists of three parts. First, with the help of dynamic time warping, the temporal data from the discharge time series are synchronized, yielding the warping path of the cycle-synchronized time series responsible for capacity degradation over cycles. Second, the canonical variates retrieved from the spatial path of the cycle-synchronized time series are used for distribution similarity analysis between the source and target batteries. Third, when the distribution similarity is within the predefined threshold, a comprehensive target SOH estimation model is constructed by transferring the common temporal dynamics from the source SOH estimation model and compensating the errors with a residual model from the target battery. Through a widely used open-source benchmark dataset, the estimation error of the proposed method evaluated by the root mean squared error is as low as 0.0034 resulting in a 77 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> accuracy improvement compared with existing methods.

MYCN Amplification, along with Wild-Type RB1 Expression, Enhances CDK4/6 Inhibitors' Efficacy in Neuroblastoma Cells.

Neuroblastoma (NB) is one of the primary causes of death for pediatric malignancies. Given the high heterogeneity in NB's mutation landscape, optimizing individualized therapies is still challenging. In the context of genomic alterations, MYCN amplification is the most correlated event with poor outcomes. MYCN is involved in the regulation of several cellular mechanisms, including cell cycle. Thus, studying the influence of MYCN overexpression in the G1/S transition checkpoint of the cell cycle may unveil novel druggable targets for the development of personalized therapeutical approaches. Here, we show that high expression of E2F3 and MYCN correlate with poor prognosis in NB despite the RB1 mRNA levels. Moreover, we demonstrate through luciferase reporter assays that MYCN bypasses RB function by incrementing E2F3-responsive promoter activity. We showed that MYCN overexpression leads to RB inactivation by inducing RB hyperphosphorylation during the G1 phase through cell cycle synchronization experiments. Moreover, we generated two MYCN-amplified NB cell lines conditionally knockdown (cKD) for the RB1 gene through a CRISPRi approach. Indeed, RB KD did not affect cell proliferation, whereas cell proliferation was strongly influenced when a non-phosphorylatable RB mutant was expressed. This finding revealed the dispensable role of RB in regulating MYCN-amplified NB's cell cycle. The described genetic interaction between MYCN and RB1 provides the rationale for using cyclin/CDK complexes inhibitors in NBs carrying MYCN amplification and relatively high levels of RB1 expression.

Experimental models of autism spectrum disorders on the example of the use of brain organelles

IntroductionASD are heterogeneous pathological conditions characterized by difficulties in establishing social contacts and the manifestation of repetitive behavior. An atypical trajectory of brain maturation, impaired neurogenesis, synaptogenesis, and an imbalance in the excitatory and inhibitory systems of the CNS form the morphofunctional basis of the ASD.ObjectivesTo understand the functioning of this complexly organized system in time and space, a three-dimensional model is needed. The closest in vitro model of the human brain from early embryonic stages to aging is brain organoids. Human brain organoids are self-organizing three-dimensional cell aggregates derived from pluripotent stem cells (hiPSCs)MethodsOrganelles generalize neurogenesis, gliogenesis, synaptogenesis, cell migration and cell differentiation, gyrification of the cerebral cortex, and reflect the connections of brain regions.ResultsThe use of telencephalon organelles in the RAS model revealed a deficit in neuronal migration, acceleration and disruption of cell cycle synchronization, aberrant cell proliferation, abundant synaptogenesis, temporary deviations in the development of the cortex, increased branching of neurons, unbalanced inhibitory differentiation of neurons, high activity of ion channels is a consequence of a violation of FOXG1 activity. Organelles generalize neurogenesis, gliogenesis, synaptogenesis, cell migration and cell differentiation, gyrification of the cerebral cortex, and reflect the connections of brain regions.The use of telencephalon organelles in the RAS model revealed a deficit in neuronal migration, acceleration and disruption of cell cycle synchronization, aberrant cell proliferation, abundant synaptogenesis, temporary deviations in the development of the cortex, increased branching of neurons, unbalanced inhibitory differentiation of neurons, high activity of ion channels is a consequence of a violation of FOXG1 activity .ConclusionshiPSCs can provide insight into the cellular mechanisms underlying ASD as a neuropsychiatric disorder, providing access to the development of platforms for in vitro drug screening and individualized patient therapy.Disclosure of InterestNone Declared

Industrial linkage and clustered regional business cycles in China

This paper applies the common Markov-switching panel data model from Hamilton and Owyang (2012) to study the similarities and differences across China’s provinces with different industrial linkage characteristics in terms of the timing of entering a contraction. This paper first derives the national business cycles, thus finding short-term contractions not well identified in the existing literature. Second, this paper classifies 30 provinces into four clusters based on the input–output linkages between industries to study the similarities and differences across the provincial business cycles. The results of this paper show a few regional business cycles coincide with the nation’s, but most idiosyncratic cluster contractions exhibit differences in timing around the national contractions. The results also find that contractions of some clusters are likely to spread nationwide. Finally, this paper investigates the reasons for business cycle synchronization.

Empirical impact of China-Pak business cycle synchronization on environmental degradation in Pakistan

This study investigates the empirical impact of China-Pak business cycle synchronization, urbanization, foreign direct investment, exports, and imports on environmental degradation in Pakistan from 1975 to 2017. In doing so, we use the Hodrick-Prescott filter to obtain the trend component of GDP. Then the trend component is subtracted from the original series of GDP to capture the cyclical component of China and Pakistan. The business cycle synchronization index is used to estimate synchronization between the business cycles of both countries. Using the ARDL method, we investigate the existence of a long-run co-integration relationship between the variables of interest. The empirical findings indicate that all explanatory variables (except FDI) are found to be significant factors of environmental degradation in the model. Furthermore, both imports and urbanization have a positive and significant impact on environmental degradation in Pakistan. At the same time, China-Pak business cycle synchronization and exports are discovered to have negative and significant coefficients for environmental degradation in Pakistan. The negative and significant ECM value indicates model convergence and a short-run relationship. The findings of the study suggest that improvement in China-Pak business cycle synchronization may be a factor that promotes environmental sustainability in Pakistan. An increase in exports and a decrease in imports can significantly contribute to reducing environmental degradation in Pakistan. A favorable balance of payment can provide sufficient financial prosperity to take environmental preservation measures. Policymakers should create effective urban planning, which has the potential to improve the country’s environmental quality.

Economic and behavioral determinants of forced household savings during the COVID-19 pandemic

This study seeks to identify the determinants of forced household savings in 16 European Union (EU) member states in 2020. We show that the higher the severity of the COVID-19 pandemic in the state, measured by the intensity of government restrictions or the number of COVID-19-related deaths, the higher the level of forced savings. Such savings also increased with gross domestic product per capita and the financial support provided for households and enterprises by the government. Additionally, savings cultures and personality traits that support compliance with pandemic-related restrictions and enhance coping with the hardship of the pandemic had a positive impact on forced savings. Our results show that while common pandemic shock may lead to discrepancies in forced savings in affected countries, their level depends largely on government response in the form of imposed restrictions as well as financial support for households and enterprises. Therefore, strong fiscal support during the pandemic can be likened to sowing the seeds for post-pandemic recovery, as savings accumulated during the pandemic shock may be used to finance the pent-up demand. This, in turn, suggests that fiscal responses during the pandemic may act as a significant driver of post-pandemic business cycle (de)synchronization and inflation differentials among EU member states and, more importantly, euro-area countries.

Konwergencja struktur gospodarczych krajów Europy Środkowo-Wschodniej w ramach Unii Europejskiej

Objective: To assess the similarity of the economic structures of Central and Eastern Europe countries within the European Union.Research Design &amp; Methods: The study was conducted with the use of an hierarchical cluster analysis for the years 2004 and 2019.Findings: The research uncovered signs of both divergence and convergence. On the one hand, attention should be paid to the increased diversification of economic sub-sectors, a fairly clear division of all EU members into two blocks of countries (old countries and CEE countries) or small but positive changes in the average gross value added in economic sub-sectors in the countries. At the same time, the Euclidean distances between the CEE countries and the “model” structure consisting of 12 euro area countries have decreased, which indicates convergence. However, comparing the situation of all CEE countries, it cannot be unequivocally stated that the adoption of the euro had a noticeable impact on the convergence of the economic structure of a given country with the structure of the old EU countries that formed this group. However, this remains a partial assessment of real convergence and it is not definitive.Implications / Recommendations: Based on the conducted research, it is difficult to formulate definitive conclusions. The similarity of gross value added structures within the EU reflects various processes and phenomena taking place in economies that are characterised by both convergence and divergence tendencies (labour productivity, wage level, consumption, savings, situation on the labour market, investment inflow, foreign trade, synchronisation of business cycles). This is why participation in the common market and monetary union must be supported by institutional and regulatory reforms. All the observed divergence aspects are a premise for reconsidering economic policies that should foster the convergence of the GDP structures of the CEE countries. The impulse associated with the process of European integration could shape different development trajectories for individual countries.Contribution: The research presented makes it possible to assess the convergence of the CEE countries. This is a very important issue in the context of new challenges for EU economies, such as the effects of the pandemic and war in Ukraine, and in view of the inadequacy of the official convergence criteria to the macroeconomic reality.

Reduced FANCE Confers Genomic Instability and Malignant Behavior by Regulating Cell Cycle Progression in Endometrial Cancer.

Introduction: Fanconi anemia complementation group E (FANCE) is a subunit of fanconi anemia (FA) pathway and plays a key role in repairing DNA interstrand cross-links (ICLs) damage. We investigate detailed functions and mechanisms of FANCE in endometrial cancer (EC). Methods: FANCE protein and RNA expression in EC and non-cancerous tissues were detected by Western blotting (WB), immunohistochemistry (IHC), and real-time polymerase chain reaction (RT-PCR) assays. Using lentiviral transfection and siRNA interference techniques, we constructed overexpressing FANCE (OE-FANCE) and FANCE-knockdown (FANCE-KD) EC cells. We then investigated DNA damage repair capacity of FANCE in EC cells including comet assay and γH2AX immunofluorescence assay. In vitro assays including CCK8, EDU and colony formation for chemoresistance and proliferation, transwell assay for metastasis were performed. Flow cytometer assay, cell cycle synchronization for cell cycle progression and EC cells RNA sequencing were determined. Finally, in vivo mouse models were used to detect tumor growth. Results: We found FANCE RNA and protein expression was significantly decreased in endometrioid adenocarcinoma (EAC) compared with normal and atypical hyperplasia endometrium. FANCE promoted the repair of ICL damage and double-strand break (DSB) in OE-FANCE EC cells. Furthermore, FANCE increased drug resistance in OE-FANCE EC cells by upregulating FA pathway and homologous recombination (HR) associated proteins. FANCE inhibited cell proliferation and metastasis through G2/M cell cycle arrest in vitro and vivo. FANCE participated in regulating several pathways. Conclusion: The study demonstrates the reduction of FANCE expression leads to genomic instability, thereby promoting the development of EC by regulating cell cycle.

TRADE NETWORKING AND BUSINESS CYCLE SYNCHRONISATION

Recent studies have shown a growing tendency for trade to have an undetected effect on business cycle synchronisation. This seems to be due to an increase in the analysis comprising data from developing countries, advances in the control of the endogeneity of trade variables using instrumental variables, and the use of various control variables as explanatory variables other than trade variables. This study examines how the networking of trade, in which numerous countries participate, changes the relationship between trade and business cycle synchronisation in two countries. Thus, we examine the possibility that business cycle linkage would increase if countries with common trading partners had the same impact on each other from a third country rather than having a direct impact on each other. The analysis results indicate that trade networking enhances business cycle linkages, but bilateral trade has no such effects. This result is confirmed when tradables are divided into final and intermediate goods.

Межрегиональная интеграция и синхронизация циклов деловой активности в российском экономическом пространстве

The article examines the relationship between the degree of interregional integration of Russian regions and the corresponding national-regional business cycles synchronization based on quarterly statistics on the unemployment rate for 2010–2020. The unemployment rate is used as an indicator of the business cycle. To identify lags and leads between both types of cycles for each region, the Brechling econometric model of the regional unemployment rate is used. Regional integration indices, which are proxy indicators of the strength of interregional interactions, are assessed based on a method using regional annual consumer price indices for 25 groups of goods and services. It is shown that the distribution of integration indices across Russian regions from maximum to minimum has the shape of a plateau with a slight slope, ending with a rather sharp decline on the tail of this distribution. The distribution shows that the lowest degree of interregional integration is observed for the regions of the North Caucasian and Far Eastern federal districts. These federal districts are dominated by regions in which business cycles are poorly synchronized with national ones (which have lags or leads in relation to the latter), while for the business cycles of other Russian regions the absence of such lags and leads is more typical. It is also found that the sensitivity of regional unemployment levels to changes in unemployment at the national level is significantly lower for low-integrated regions compared to relatively highly integrated regions

Viability effects on cell cycle synchronization of different prostate cancer cell lines: A brief report

Viability effects on cell cycle synchronization of different prostate cancer cell lines: A brief report

Full confluency, serum starvation, and roscovitine for inducing arrest in the G0/G1 phase of the cell cycle in puma skin-derived fibroblast lines

The puma population is constantly decreasing, and cloning by somatic cell nuclear transfer can be used to conserve the species. One of the factors determining the success of the development of cloned embryos is the cell cycle stage of the donor cells. We evaluated the effects of full confluency (~100%), serum starvation (0.5% serum), and roscovitine (15 µM) treatments on the cell cycle synchronization in G0/G1 of puma skin-derived fibroblasts by flow cytometric analysis. Also, we assessed the effects of these synchronization methods on morphology, viability, and apoptosis levels using microscopy tools. The results showed that culturing the cells to confluence for 24 h (84.0%), 48 h (84.6%), and 72 h (84.2%) and serum starvation for 96 h (85.4%) yielded a significantly higher percentage of cells arrested in the G0/G1 (P 0.05) phase than cells not subjected to any cell cycle synchronization method (73.9%). Nevertheless, while serum starvation reduced the percentage of viable cells, no difference was observed for the full confluence and roscovitine treatments (P 0.05). Moreover, roscovitine for 12 h (78.6%) and 24 h (82.1%) was unable to synchronize cells in G0/G1 (P 0.05). In summary, full confluency induces puma fibroblast cell cycle synchronization at the G0/G1 stage without affecting cell viability. These outcomes may be valuable for planning donor cells for somatic cell nuclear transfer in pumas.

Expression dynamics of periodic transcripts during cancer cell cycle progression and their correlation with anticancer drug sensitivity

BackgroundThe cell cycle is at the center of cellular activities and is orchestrated by complex regulatory mechanisms, among which transcriptional regulation is one of the most important components. Alternative splicing dramatically expands the regulatory network by producing transcript isoforms of genes to exquisitely control the cell cycle. However, the patterns of transcript isoform expression in the cell cycle are unclear. Therapies targeting cell cycle checkpoints are commonly used as anticancer therapies, but none of them have been designed or evaluated at the alternative splicing transcript level. The utility of these transcripts as markers of cell cycle-related drug sensitivity is still unknown, and studies on the expression patterns of cell cycle-targeting drug-related transcripts are also rare.MethodsTo explore alternative splicing patterns during cell cycle progression, we performed sequential transcriptomic assays following cell cycle synchronization in colon cancer HCT116 and breast cancer MDA-MB-231 cell lines, using flow cytometry and reference cell cycle transcripts to confirm the cell cycle phases of samples, and we developed a new algorithm to describe the periodic patterns of transcripts fluctuating during the cell cycle. Genomics of Drug Sensitivity in Cancer (GDSC) drug sensitivity datasets and Cancer Cell Line Encyclopedia (CCLE) transcript datasets were used to assess the correlation of genes and their transcript isoforms with drug sensitivity. We identified transcripts associated with typical drugs targeting cell cycle by determining correlation coefficients. Cytotoxicity assays were used to confirm the effect of ENST00000257904 against cyclin dependent kinase 4/6 (CDK4/6) inhibitors. Finally, alternative splicing transcripts associated with mitotic (M) phase arrest were analyzed using an RNA synthesis inhibition assay and transcriptome analysis.ResultsWe established high-resolution transcriptome datasets of synchronized cell cycle samples from colon cancer HCT116 and breast cancer MDA-MB-231 cells. The results of the cell cycle assessment showed that 43,326, 41,578 and 29,244 transcripts were found to be periodically expressed in HeLa, HCT116 and MDA-MB-231 cells, respectively, among which 1280 transcripts showed this expression pattern in all three cancer cell lines. Drug sensitivity assessments showed that a large number of these transcripts displayed a higher correlation with drug sensitivity than their corresponding genes. Cell cycle-related drug screening showed that the level of the CDK4 transcript ENST00000547281 was more significantly associated with the resistance of cells to CDK4/6 inhibitors than the level of the CDK4 reference transcript ENST00000257904. The transcriptional inhibition assay following M phase arrest further confirmed the M-phase-specific expression of the splicing transcripts. Combined with the cell cycle-related drug screening, the results also showed that a set of periodic transcripts, for example, ENST00000314392 (a dolichyl-phosphate mannosyltransferase polypeptide 2 isoform transcript), was more associated with drug sensitivity than the levels of their corresponding gene transcripts.ConclusionsIn summary, we identified a panel of cell cycle-related periodic transcripts and found that the levels of transcripts of drug target genes showed different values for predicting drug sensitivity, providing novel insights into alternative splicing-related drug development and evaluation.

In Vitro Methods to Investigate the Disassembly of the Golgi Ribbon During the G2-M Transition of the Cell Cycle.

The Golgi complex is the central hub of the secretory pathway. In mammalian cells, it is formed by stacks of flattened cisternae organized in a continuous membrane system, the Golgi ribbon, located near the centrosome. During G2, the Golgi ribbon is disassembled into isolated stacks that, at the onset of mitosis, are further fragmented into small tubular-vesicular clusters that disperse throughout the cytoplasm. Here, we describe a set of methods to study the Golgi complex in different phases of thecell cycle, drawing attention to reproducing the mitotic Golgi fragmentation to gain knowledge and acquire the skills to study the mechanisms that regulate mitotic Golgi reorganization as well as its biological significance. The investigations based on these assays have been instrumental in understanding that Golgi disassembly isnot only a consequence of mitosis but is also required for mitotic entry and cell division.

Low pass-through and international synchronization in general equilibrium: Reassessing vertical integration

We investigate the difficulties of the canonical open New Keynesian model to i) reproduce the observed exchange rate pass-through disconnect, i.e. a pass-through high for import prices and low for consumer prices, and ii) to generate international business cycle synchronization. The literature tackled them separately: i) strategic complementarities for exporting firms to mitigate the pass-through to consumer prices and ii) intermediate inputs trade to enhance cross-border spillovers. We prove that foreign intermediate inputs also efficiently address the pass-through dimension, but, unlike strategic complementarities, solve the exchange rate pass-through disconnect puzzle. These results carry over to the general equilibrium effects of a depreciation. Furthermore, we show analytically that both types of vertical integration weaken sharply the expenditure switching effect. This feature strengthens real synchronization in response to productivity and monetary policy shocks, but lowers it in response to private demand shocks, a point which complements the existing literature.

Dynamics of structural transformation and business cycle synchronization: a panel quantile regression approach for India

ABSTRACT Recent contributions to the business cycle literature point towards the presence of potential nonlinearities in the relationship between similarities in sectoral composition of countries and their bilateral business cycle synchronization. By using a dynamic indicator of structural change (as opposed to the traditional static indicators), this article attempts to identify whether the similarities in the evolution of structural change across countries influence their bilateral business cycle synchronization heterogeneously across quantiles. With focus on India and its advanced and developing trade partners, this article employs the quantile regression model with non-additive fixed effects to assess this relationship. While India and its advanced countries' trade partners display a homogeneous and positive relationship between the similarity in evolution of agriculture and industry and their bilateral business cycle synchronization, there exists a homogeneously negative relationship with respect to the service sector. Similarities in the evolution of the industry and the service sector between India and its developing trade partners, on the other hand, have a heterogeneous impact on their bilateral business cycle synchronization.